{"pageNumber":"596","pageRowStart":"14875","pageSize":"25","recordCount":68919,"records":[{"id":70048534,"text":"70048534 - 2013 - Detecting channel riparian vegetation response to best-management-practices implementation in ephemeral streams with the use of spot high-resolution visible imagery","interactions":[],"lastModifiedDate":"2013-10-21T13:04:55","indexId":"70048534","displayToPublicDate":"2013-10-21T11:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Detecting channel riparian vegetation response to best-management-practices implementation in ephemeral streams with the use of spot high-resolution visible imagery","docAbstract":"Heavily grazed riparian areas are commonly subject to channel incision, a lower water table, and reduced vegetation, resulting in sediment delivery above normal regimes. Riparian and in-channel vegetation functions as a roughness element and dissipates flow energy, maintaining stable channel geometry. Ash Creek, a tributary of the Bad River in western South Dakota contains a high proportion of incised channels, remnants of historically high grazing pressure. Best management practices (BMP), including off-stream watering sources and cross fencing, were implemented throughout the Bad River watershed during an Environmental Protection Agency (EPA) 319 effort to address high sediment loads. We monitored prairie cordgrass (Spartina pectinata Link) establishment within stream channels for 16 yr following BMP implementation. Photos were used to group stream reaches (n = 103) subjectively into three classes; absent (estimated < 5% cover; n = 64), present (estimated 5–40% cover; n = 23), and dense (estimated > 40% cover; n = 16) based on the relative amount of prairie cordgrass during 2010 assessments of ephemeral channels. Reaches containing drainage areas of 0.54 to 692 ha were delineated with the use of 2010 National Agriculture Imagery Program (NAIP) imagery. Normalized difference vegetation index (NDVI) values were extracted from 5 to 39 sample points proportional to reach length using a series of Satellite Pour l'Observation de la Terre (SPOT) satellite imagery. Normalized NDVI (nNDVI) of 2 152 sample points were determined from pre- and post-BMP images. Mean nNDVI values for each reach ranged from 0.33 to 1.77. ANOVA revealed significant increase in nNDVI in locations classified as present prairie cordgrass cover following BMP implementation. Establishment of prairie cordgrass following BMP implementation was successfully detected remotely. Riparian vegetation such as prairie cordgrass adds channel roughness that reduces the flow energy responsible for channel degradation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Rangeland Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Range Management","doi":"10.2111/REM-D-11-00153.1","usgsCitation":"Kamp, K.V., Rigge, M.B., Troelstrup, N.H., Smart, A.J., and Wylie, B., 2013, Detecting channel riparian vegetation response to best-management-practices implementation in ephemeral streams with the use of spot high-resolution visible imagery: Rangeland Ecology and Management, v. 66, no. 1, p. 63-70, https://doi.org/10.2111/REM-D-11-00153.1.","productDescription":"8 p.","startPage":"63","endPage":"70","ipdsId":"IP-031895","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473481,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/642688","text":"External Repository"},{"id":278294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278293,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2111/REM-D-11-00153.1"}],"country":"United States","state":"South Dakota","otherGeospatial":"Ash Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.625496,44.2689280 ], [ -100.625496,44.3229880 ], [ -100.535202,44.3229880 ], [ -100.535202,44.2689280 ], [ -100.625496,44.2689280 ] ] ] } } ] }","volume":"66","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52663ee5e4b0992695a7f43d","contributors":{"authors":[{"text":"Kamp, Kendall Vande","contributorId":17525,"corporation":false,"usgs":true,"family":"Kamp","given":"Kendall","email":"","middleInitial":"Vande","affiliations":[],"preferred":false,"id":484989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rigge, Matthew B. 0000-0003-4471-8009 mrigge@usgs.gov","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":751,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","email":"mrigge@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":484986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Troelstrup, Nels H. Jr.","contributorId":13130,"corporation":false,"usgs":true,"family":"Troelstrup","given":"Nels","suffix":"Jr.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":484988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smart, Alexander J.","contributorId":10711,"corporation":false,"usgs":true,"family":"Smart","given":"Alexander","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wylie, Bruce 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":107996,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","affiliations":[],"preferred":false,"id":484990,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048521,"text":"70048521 - 2013 - A new species of Helobdella (Hirudinida: Glossiphoniidae) from Oregon","interactions":[],"lastModifiedDate":"2013-10-21T10:45:50","indexId":"70048521","displayToPublicDate":"2013-10-21T10:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3814,"text":"Zootaxa","onlineIssn":"1175-5334","printIssn":"1175-5326","active":true,"publicationSubtype":{"id":10}},"title":"A new species of Helobdella (Hirudinida: Glossiphoniidae) from Oregon","docAbstract":"Helobdella bowermani n. sp. is described from specimens collected in fine sediment of open water benthos of Upper Klamath Lake, Klamath County, Oregon. The new species has pale yellow/buff coloration with scattered chromatophore blotches throughout the dorsal surface, lateral extensions or papillae only on the a2 annulus, dorsal medial row of papillae with small papilla on a1 and larger papillae on a2 and a3, and a small oval scute (rarely triangular). Helobdella bowermani n. sp. is morphologically similar to Helobdella atli and Helobdella simplex. Molecular comparison of CO-I sequence data from H. bowermani n. sp. revealed differences of 10.6%–10.8% with Helobdella californica, differences of 12.2%–13.7% with H. atli, and differences of 12.7%–13.2% with H. simplex.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Zootaxa","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Magnolia Press","doi":"10.11646/zootaxa.3718.3.5","usgsCitation":"Moser, W.E., Fend, S.V., Richardson, D., Hammond, C.I., Lazo-Wasem, E.A., Govedich, F.R., and Gullo, B.S., 2013, A new species of Helobdella (Hirudinida: Glossiphoniidae) from Oregon: Zootaxa, v. 3718, no. 3, p. 287-294, https://doi.org/10.11646/zootaxa.3718.3.5.","productDescription":"8 p.","startPage":"287","endPage":"294","ipdsId":"IP-046095","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":278291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278290,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.11646/zootaxa.3718.3.5"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.09075,42.233483 ], [ -122.09075,42.501250 ], [ -121.801427,42.501250 ], [ -121.801427,42.233483 ], [ -122.09075,42.233483 ] ] ] } } ] }","volume":"3718","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-10-04","publicationStatus":"PW","scienceBaseUri":"52663ecfe4b0992695a7f433","contributors":{"authors":[{"text":"Moser, William E.","contributorId":63715,"corporation":false,"usgs":true,"family":"Moser","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":484946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fend, Steven V. 0000-0002-4638-6602 svfend@usgs.gov","orcid":"https://orcid.org/0000-0002-4638-6602","contributorId":3591,"corporation":false,"usgs":true,"family":"Fend","given":"Steven","email":"svfend@usgs.gov","middleInitial":"V.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":484941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, Dennis J.","contributorId":21062,"corporation":false,"usgs":true,"family":"Richardson","given":"Dennis J.","affiliations":[],"preferred":false,"id":484944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hammond, Charlette I.","contributorId":13532,"corporation":false,"usgs":true,"family":"Hammond","given":"Charlette","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":484942,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lazo-Wasem, Eric A.","contributorId":50441,"corporation":false,"usgs":true,"family":"Lazo-Wasem","given":"Eric","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484945,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Govedich, Fredric R.","contributorId":18671,"corporation":false,"usgs":true,"family":"Govedich","given":"Fredric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484943,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gullo, Bettina S.","contributorId":102786,"corporation":false,"usgs":true,"family":"Gullo","given":"Bettina","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484947,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70048516,"text":"70048516 - 2013 - Comparison of a karst groundwater model with and without discrete conduit flow","interactions":[],"lastModifiedDate":"2017-10-12T20:18:58","indexId":"70048516","displayToPublicDate":"2013-10-18T16:03:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of a karst groundwater model with and without discrete conduit flow","docAbstract":"Karst aquifers exhibit a dual flow system characterized by interacting conduit and matrix domains. This study evaluated the coupled continuum pipe-flow framework for modeling karst groundwater flow in the Madison aquifer of western South Dakota (USA). Coupled conduit and matrix flow was simulated within a regional finite-difference model over a 10-year transient period. An existing equivalent porous medium (EPM) model was modified to include major conduit networks whose locations were constrained by dye-tracing data and environmental tracer analysis. Model calibration data included measured hydraulic heads at observation wells and estimates of discharge at four karst springs. Relative to the EPM model, the match to observation well hydraulic heads was substantially improved with the addition of conduits. The inclusion of conduit flow allowed for a simpler hydraulic conductivity distribution in the matrix continuum. Two of the high-conductivity zones in the EPM model, which were required to indirectly simulate the effects of conduits, were eliminated from the new model. This work demonstrates the utility of the coupled continuum pipe-flow method and illustrates how karst aquifer model parameterization is dependent on the physical processes that are simulated.","language":"English","publisher":"Springer","doi":"10.1007/s10040-013-1036-6","usgsCitation":"Saller, S.P., Ronayne, M.J., and Long, A.J., 2013, Comparison of a karst groundwater model with and without discrete conduit flow: Hydrogeology Journal, v. 21, no. 7, p. 1555-1566, https://doi.org/10.1007/s10040-013-1036-6.","productDescription":"12 p.","startPage":"1555","endPage":"1566","ipdsId":"IP-042678","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":278287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Madison Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.06,42.48 ], [ -104.06,45.95 ], [ -101.86,45.95 ], [ -101.86,42.48 ], [ -104.06,42.48 ] ] ] } } ] }","volume":"21","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-09-06","publicationStatus":"PW","scienceBaseUri":"52624a53e4b079a99629a0d3","contributors":{"authors":[{"text":"Saller, Stephen P.","contributorId":60118,"corporation":false,"usgs":true,"family":"Saller","given":"Stephen","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ronayne, Michael J.","contributorId":101556,"corporation":false,"usgs":true,"family":"Ronayne","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484910,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048538,"text":"sir20135180 - 2013 - Effects of incubation substrates on hatch timing and success of White Sturgeon (<i>Acipenser transmontanus</i>) embryos","interactions":[],"lastModifiedDate":"2014-03-04T13:20:48","indexId":"sir20135180","displayToPublicDate":"2013-10-18T15:43:00","publicationYear":"2013","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":"2013-5180","title":"Effects of incubation substrates on hatch timing and success of White Sturgeon (<i>Acipenser transmontanus</i>) embryos","docAbstract":"The Kootenai River white sturgeon (Acipenser transmontanus) was listed as endangered under the Endangered Species Act in 1994 because several decades of failed spawning had put the population at risk of extinction. Natural spawning is known to occur at several locations in the Kootenai River, Idaho, but there is little natural recruitment. Microhabitat where embryo incubation occurs is known to be an important factor in white sturgeon reproductive success. This study was conducted to address questions regarding the suitability of different substrates as egg attachment and incubation sites for these fish. A comparative laboratory study using six types of incubation substrates—clean river rocks, periphyton- and algae-covered rocks, waterlogged wood, sand, riparian vegetation, and clean glass plates—tested the hypothesis that survival to hatch of white sturgeon eggs differs among incubation substrates. The results showed that sand was unsuitable as an incubation substrate, as the adhesive embryos were easily dislodged. Periphyton- and algae-covered rocks had the lowest hatch success, and all other substrates had similar hatch success.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135180","collaboration":"Prepared in cooperation with the Kootenai Tribe of Idaho","usgsCitation":"Parsley, M.J., and Kofoot, E., 2013, Effects of incubation substrates on hatch timing and success of White Sturgeon (<i>Acipenser transmontanus</i>) embryos: U.S. Geological Survey Scientific Investigations Report 2013-5180, 16 p., https://doi.org/10.3133/sir20135180.","productDescription":"16 p.","numberOfPages":"24","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":278286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135180.jpg"},{"id":278284,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5180/"},{"id":278285,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5180/pdf/sir2013-5180.pdf"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.540609,48.360962 ], [ -116.540609,48.999704 ], [ -115.314595,48.999704 ], [ -115.314595,48.360962 ], [ -116.540609,48.360962 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52624a65e4b079a99629a0d6","contributors":{"authors":[{"text":"Parsley, Michael J. 0000-0003-0097-6364 mparsley@usgs.gov","orcid":"https://orcid.org/0000-0003-0097-6364","contributorId":2608,"corporation":false,"usgs":true,"family":"Parsley","given":"Michael","email":"mparsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":485001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kofoot, Eric","contributorId":9939,"corporation":false,"usgs":true,"family":"Kofoot","given":"Eric","affiliations":[],"preferred":false,"id":485002,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048537,"text":"fs20133097 - 2013 - The 3D Elevation Program: summary for Texas","interactions":[],"lastModifiedDate":"2016-08-17T16:03:57","indexId":"fs20133097","displayToPublicDate":"2013-10-18T15:06:00","publicationYear":"2013","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":"2013-3097","title":"The 3D Elevation Program: summary for Texas","docAbstract":"<p><span>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Texas, elevation data are critical for natural resources conservation; wildfire management, planning, and response; flood risk management; agriculture and precision farming; infrastructure and construction management; water supply and quality; and other business uses. Today, high-quality light detection and ranging (lidar) data are the source for creating elevation models and other elevation datasets. Federal, State, and local agencies work in partnership to (1) replace data, on a national basis, that are (on average) 30 years old and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data. The new 3D Elevation Program (3DEP) initiative, managed by the U.S. Geological Survey (USGS), responds to the growing need for high-quality topographic data and a wide range of other three-dimensional representations of the Nation&rsquo;s natural and constructed features.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133097","usgsCitation":"Carswell, W., 2013, The 3D Elevation Program: summary for Texas: U.S. Geological Survey Fact Sheet 2013-3097, 2 p., https://doi.org/10.3133/fs20133097.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":278281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133097.gif"},{"id":278279,"type":{"id":15,"text":"Index 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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":485000,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048515,"text":"70048515 - 2013 - Understanding water column and streambed thermal refugia for endangered mussels in the Delaware River","interactions":[],"lastModifiedDate":"2013-10-18T13:38:07","indexId":"70048515","displayToPublicDate":"2013-10-18T13:33:46","publicationYear":"2013","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":"Understanding water column and streambed thermal refugia for endangered mussels in the Delaware River","docAbstract":"Groundwater discharge locations along the upper Delaware River, both discrete bank seeps and diffuse streambed upwelling, may create thermal niche environments that benefit the endangered dwarf wedgemussel (Alasmidonta heterodon). We seek to identify whether discrete or diffuse groundwater inflow is the dominant control on refugia. Numerous springs and seeps were identified at all locations where dwarf wedgemussels still can be found.  Infrared imagery and custom high spatial resolution fiber-optic distributed temperature sensors reveal complex thermal dynamics at one of the seeps with a relatively stable, cold groundwater plume extending along the streambed/water-column interface during mid-summer.  This plume, primarily fed by a discrete bank seep, was shown through analytical and numerical heat-transport modeling to dominate temperature dynamics in the region of potential habitation by the adult dwarf wedgemussel.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/es4018893","usgsCitation":"Briggs, M., Voytek, E.B., Day-Lewis, F.D., Rosenberry, D.O., and Lane, J.W., 2013, Understanding water column and streambed thermal refugia for endangered mussels in the Delaware River: Environmental Science & Technology, v. 47, no. 20, p. 11423-11431, https://doi.org/10.1021/es4018893.","productDescription":"9 p.","startPage":"11423","endPage":"11431","ipdsId":"IP-050356","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":278271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278240,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es4018893"},{"id":278241,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.acs.org/doi/pdf/10.1021/es4018893"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Delaware River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.243,41.836 ], [ -75.243,41.876 ], [ -75.204,41.876 ], [ -75.204,41.836 ], [ -75.243,41.836 ] ] ] } } ] }","volume":"47","issue":"20","noUsgsAuthors":false,"publicationDate":"2013-09-25","publicationStatus":"PW","scienceBaseUri":"52624a6be4b079a99629a0f1","contributors":{"authors":[{"text":"Briggs, Martin A.","contributorId":10321,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[],"preferred":false,"id":484909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voytek, Emily B. 0000-0003-0981-453X ebvoytek@usgs.gov","orcid":"https://orcid.org/0000-0003-0981-453X","contributorId":3575,"corporation":false,"usgs":true,"family":"Voytek","given":"Emily","email":"ebvoytek@usgs.gov","middleInitial":"B.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":484908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":484906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":484905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lane, John W. Jr. jwlane@usgs.gov","contributorId":1738,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":484907,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048523,"text":"ofr20131105 - 2013 - Oceanographic controls on sedimentary and geochemical facies on the Peru outer shelf and upper slope","interactions":[],"lastModifiedDate":"2018-03-23T14:12:00","indexId":"ofr20131105","displayToPublicDate":"2013-10-18T12:50:00","publicationYear":"2013","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":"2013-1105","title":"Oceanographic controls on sedimentary and geochemical facies on the Peru outer shelf and upper slope","docAbstract":"<p>Concentrations and characteristics of organic matter in surface sediments deposited under an intense oxygen-minimum zone (OMZ) on the Peru margin were mapped and studied in samples from deck-deployed box cores and push cores acquired by submersible on two east-west transects spanning depths of 75 to 1,000 meters (m) at 12°S and 13.5°S. On the basis of sampling and analyses of the top 1–2 centimeters (cm) of available cores, three main belts of sediments were identified on each transect with increasing depth: (1) muds rich in organic carbon (OC); (2) authigenic phosphatic mineral crusts and pavements; and (3) glaucony facies.</p><p>Sediments rich in OC on the 12°S transect were mainly located on the outer shelf and upper slope (150–350 m), but they occurred in much shallower water (approximately 100 m) on the 13.5°S transect. The organic matter is almost entirely marine as confirmed by Rock-Eval pyrolysis and isotopic composition of OC. Concentrations of OC are highest (up to 18 percent) in sediments within the OMZ where dissolved oxygen (DO) concentrations are &lt;5 micromoles per kilogram (μM). Even at these low concentrations of DO, however, the surface sediments from within the OMZ are dominantly unlaminated. Concentrations of DO may have the dominant effect on organic matter characteristics, but reworking of fine-grained sediment and organic matter by strong bottom currents with velocities as high as 30 centimeters per second (cm/s) on the slope between 150 and 300 m and redeposition on the seafloor in areas of lower energy and higher DO concentration also exert important controls on OC concentration and degree of oxidation in this region.</p><p>Phosphate-rich sediments and crusts occurred at depths of about 300 to 550 m on both transects. Nodular crusts of sediment cemented by carbonate-fluorapatite (CFA; phosphorite) or dolomite form within the OMZ. These phosphorite crusts evolve through cementation from light olive-green, stiff but friable, phosphatized claystone “protocrusts” through dense, dark phosphorite crusts, cemented breccias, and pavements. The degree of phosphatization and thickness of the crusts depend on the rates of sediment supply and on the strength and frequency of currents that re-expose crusts on the seafloor. Phosphorite crusts and pavements on the Peru margin can only become buried and incorporated into the geologic record once bottom currents slacken sufficiently to allow fine-grained sediment to accumulate.</p><p>Glaucony-rich surface sediments, relatively undiluted by other components, were found mainly in deeper water on the 13.5°S transect (750 m to at least 1,067 m). These sediments consist almost entirely of sand-size glaucony pellets. These widespread glaucony sands formed in place and were then concentrated and reworked by strong currents that winnowed away the fine-grained matrix. Although the glaucony occurs in sand-size pellets, the pellets are made up of aggregates of authigenic, platy, micaceous clay minerals. Glaucony is predominantly a potassium (K), sodium (Na), iron (Fe), magnesium (Mg) aluminosilicate with an approximate formula of (K,Na)(Fe<sup>3+</sup>,Al,Mg)<sub>2</sub>(Si,Al)<sub>4</sub>O<sub>10</sub>(OH)<sub>2</sub>. The glaucony on the 13.5°S transect forms by alteration of one or more original “framework” minerals (carbonate and [or] aluminosilicates) to form pellital aggregates of Fe-, K-, and Mg-rich clay minerals. Because Fe, K, and Mg are derived from seawater, sedimentation rates must be extremely slow in order for the original framework minerals to remain in contact with seawater. The close association of glaucony and phosphorite indicates a delicate balance between the slightly oxidizing conditions at the base of the OMZ that form glaucony and the slightly reducing conditions that mobilize iron and phosphate to form phosphorite.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131105","usgsCitation":"Arthur, M.A., and Dean, W.E., 2013, Oceanographic controls on sedimentary and geochemical facies on the Peru outer shelf and upper slope: U.S. Geological Survey Open-File Report 2013-1105, v, 38 p., https://doi.org/10.3133/ofr20131105.","productDescription":"v, 38 p.","numberOfPages":"43","onlineOnly":"Y","ipdsId":"IP-037568","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":278263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131105.gif"},{"id":278243,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1105/"},{"id":278262,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1105/pdf/OF13-1105.pdf"}],"country":"Peru","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,-14 ], [ -81,-10 ], [ -74,-10 ], [ -74,-14 ], [ -81,-14 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52624a68e4b079a99629a0e8","contributors":{"authors":[{"text":"Arthur, Michael A.","contributorId":90018,"corporation":false,"usgs":true,"family":"Arthur","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dean, Walter E. dean@usgs.gov","contributorId":1801,"corporation":false,"usgs":true,"family":"Dean","given":"Walter","email":"dean@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":484952,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048509,"text":"ofr20131248 - 2013 - Emergency assessment of post-fire debris-flow hazards for the 2013 Powerhouse fire, southern California","interactions":[],"lastModifiedDate":"2013-11-14T17:58:46","indexId":"ofr20131248","displayToPublicDate":"2013-10-18T12:36:00","publicationYear":"2013","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":"2013-1248","title":"Emergency assessment of post-fire debris-flow hazards for the 2013 Powerhouse fire, southern California","docAbstract":"Wildfire dramatically alters the hydrologic response of a watershed such that even modest rainstorms can produce dangerous flash floods and debris flows. Existing empirical models were used to predict the probability and magnitude of debris-flow occurrence in response to a 10-year recurrence interval rainstorm for the 2013 Powerhouse fire near Lancaster, California. Overall, the models predict a relatively low probability for debris-flow occurrence in response to the design storm. However, volumetric predictions suggest that debris flows that occur may entrain a significant volume of material, with 44 of the 73 basins identified as having potential debris-flow volumes between 10,000 and 100,000 cubic meters. These results suggest that even though the likelihood of debris flow is relatively low, the consequences of post-fire debris-flow initiation within the burn area may be significant for downstream populations, infrastructure, and wildlife and water resources. Given these findings, we recommend that residents, emergency managers, and public works departments pay close attention to weather forecasts and National-Weather-Service-issued Debris Flow and Flash Flood Outlooks, Watches, and Warnings and that residents adhere to any evacuation orders.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131248","usgsCitation":"Staley, D.M., Smoczyk, G.M., and Reeves, R.R., 2013, Emergency assessment of post-fire debris-flow hazards for the 2013 Powerhouse fire, southern California: U.S. Geological Survey Open-File Report 2013-1248, Report: iv, 13 p.; 3 Plates: 22.09 x 30.38 inches or smaller, https://doi.org/10.3133/ofr20131248.","productDescription":"Report: iv, 13 p.; 3 Plates: 22.09 x 30.38 inches or smaller","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051194","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":278265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131248.gif"},{"id":278238,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1248/"},{"id":278260,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1248/pdf/OFR13-1248_plate2.pdf"},{"id":278261,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1248/pdf/OFR13-1248_plate3.pdf"},{"id":278258,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1248/pdf/OFR13-1248.pdf"},{"id":278259,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1248/pdf/OFR13-1248_plate1.pdf"}],"projection":"Universal Transverse Mercator","datum":"North American Datum of 1983","country":"United States","state":"California","city":"Lancaster","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.574753,34.574288 ], [ -118.574753,34.769961 ], [ -118.346786,34.769961 ], [ -118.346786,34.574288 ], [ -118.574753,34.574288 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52624a66e4b079a99629a0dc","contributors":{"authors":[{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":484884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smoczyk, Gregory M. 0000-0002-6591-4060 gsmoczyk@usgs.gov","orcid":"https://orcid.org/0000-0002-6591-4060","contributorId":5239,"corporation":false,"usgs":true,"family":"Smoczyk","given":"Gregory","email":"gsmoczyk@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":484886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Ryan R. rreeves@usgs.gov","contributorId":4993,"corporation":false,"usgs":true,"family":"Reeves","given":"Ryan","email":"rreeves@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":484885,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048510,"text":"ofr20131249 - 2013 - Emergency assessment of post-fire debris-flow hazards for the 2013 Mountain fire, southern California","interactions":[],"lastModifiedDate":"2013-11-14T18:11:32","indexId":"ofr20131249","displayToPublicDate":"2013-10-18T12:32:00","publicationYear":"2013","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":"2013-1249","title":"Emergency assessment of post-fire debris-flow hazards for the 2013 Mountain fire, southern California","docAbstract":"Wildfire dramatically alters the hydrologic response of a watershed such that even modest rainstorms can produce dangerous flash floods and debris flows. We use empirical models to predict the probability and magnitude of debris flow occurrence in response to a 10-year rainstorm for the 2013 Mountain fire near Palm Springs, California. Overall, the models predict a relatively high probability (60–100 percent) of debris flow for six of the drainage basins in the burn area in response to a 10-year recurrence interval design storm. Volumetric predictions suggest that debris flows that occur may entrain a significant volume of material, with 8 of the 14 basins identified as having potential debris-flow volumes greater than 100,000 cubic meters. These results suggest there is a high likelihood of significant debris-flow hazard within and downstream of the burn area for nearby populations, infrastructure, and wildlife and water resources. Given these findings, we recommend that residents, emergency managers, and public works departments pay close attention to weather forecasts and National Weather Service–issued Debris Flow and Flash Flood Outlooks, Watches and Warnings and that residents adhere to any evacuation orders.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131249","usgsCitation":"Staley, D.M., Gartner, J.E., Smoczyk, G., and Reeves, R.R., 2013, Emergency assessment of post-fire debris-flow hazards for the 2013 Mountain fire, southern California: U.S. Geological Survey Open-File Report 2013-1249, Report: iv, 13 p.; 3 Plates: 22.09 x 30.96 inches or smaller, https://doi.org/10.3133/ofr20131249.","productDescription":"Report: iv, 13 p.; 3 Plates: 22.09 x 30.96 inches or smaller","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051179","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":278239,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1249/"},{"id":278256,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1249/pdf/OFR13-1249_plate3.pdf"},{"id":278257,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131249.gif"},{"id":278254,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1249/pdf/OFR13-1249_plate1.pdf"},{"id":278255,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1249/pdf/OFR13-1249_plate2.pdf"}],"country":"United States","state":"California","city":"Palm Springs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.75,33.6 ], [ -116.75,33.883 ], [ -116.5,33.883 ], [ -116.5,33.6 ], [ -116.75,33.6 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52624a65e4b079a99629a0d9","contributors":{"authors":[{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":484888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gartner, Joseph E. jegartner@usgs.gov","contributorId":1876,"corporation":false,"usgs":true,"family":"Gartner","given":"Joseph","email":"jegartner@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":484887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smoczyk, Greg M.","contributorId":23059,"corporation":false,"usgs":true,"family":"Smoczyk","given":"Greg M.","affiliations":[],"preferred":false,"id":484890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reeves, Ryan R. rreeves@usgs.gov","contributorId":4993,"corporation":false,"usgs":true,"family":"Reeves","given":"Ryan","email":"rreeves@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":484889,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70073513,"text":"70073513 - 2013 - Composition and origin of rhyolite melt intersected by drilling in the Krafla geothermal field, Iceland","interactions":[],"lastModifiedDate":"2014-01-21T10:33:11","indexId":"70073513","displayToPublicDate":"2013-10-15T10:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Composition and origin of rhyolite melt intersected by drilling in the Krafla geothermal field, Iceland","docAbstract":"The Iceland Deep Drilling Project Well 1 was designed as a 4- to 5-km-deep exploration well with the goal of intercepting supercritical hydrothermal fluids in the Krafla geothermal field, Iceland. The well unexpectedly drilled into a high-silica (76.5 % SiO<sub>2</sub>) rhyolite melt at approximately 2.1 km. Some of the melt vesiculated while extruding into the drill hole, but most of the recovered cuttings are quenched sparsely phyric, vesicle-poor glass. The phenocryst assemblage is comprised of titanomagnetite, plagioclase, augite, and pigeonite. Compositional zoning in plagioclase and exsolution lamellae in augite and pigeonite record changing crystallization conditions as the melt migrated to its present depth of emplacement. The in situ temperature of the melt is estimated to be between 850 and 920 °C based on two-pyroxene geothermometry and modeling of the crystallization sequence. Volatile content of the glass indicated partial degassing at an in situ pressure that is above hydrostatic (~16 MPa) and below lithostatic (~55 MPa). The major element and minor element composition of the melt are consistent with an origin by partial melting of hydrothermally altered basaltic crust at depth, similar to rhyolite erupted within the Krafla Caldera. Chondrite-normalized REE concentrations show strong light REE enrichment and relative flat patterns with negative Eu anomaly. Strontium isotope values (0.70328) are consistent with mantle-derived melt, but oxygen and hydrogen isotope values are depleted (3.1 and −118 ‰, respectively) relative to mantle values. The hydrogen isotope values overlap those of hydrothermal epidote from rocks altered by the meteoric-water-recharged Krafla geothermal system. The rhyolite melt was emplaced into and has reacted with a felsic intrusive suite that has nearly identical composition. The felsite is composed of quartz, alkali feldspar, plagioclase, titanomagnetite, and augite. Emplacement of the rhyolite magma has resulted in partial melting of the felsite, accompanied locally by partial assimilation. The interstitial melt in the felsite has similar normalized SiO<sub>2</sub> content as the rhyolite melt but is distinguished by higher K<sub>2</sub>O and lower CaO and plots near the minimum melt composition in the granite system. Augite in the partially melted felsite has re-equilibrated to more calcic metamorphic compositions. Rare quenched glass fragments containing glomeroporphyritic crystals derived from the felsite show textural evidence for resorption of alkali feldspar and quartz. The glass in these fragments is enriched in SiO<sub>2</sub> relative to the rhyolite melt or the interstitial felsite melt, consistent with the textural evidence for quartz dissolution. The quenching of these melts by drilling fluids at in situ conditions preserves details of the melt–wall rock interaction that would not be readily observed in rocks that had completely crystallized. However, these processes may be recognizable by a combination of textural analysis and in situ analytical techniques that document compositional heterogeneity due to partial melting and local assimilation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Contributions to Mineralogy and Petrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00410-012-0811-z","usgsCitation":"Zierenberg, R., Schiffmant, P., Barfod, G., Lesher, C., Marks, N., Lowenstern, J.B., Mortensen, A., Pope, E., Bird, D., Reed, M., Fridleifsson, G., and Elders, W., 2013, Composition and origin of rhyolite melt intersected by drilling in the Krafla geothermal field, Iceland: Contributions to Mineralogy and Petrology, v. 165, no. 2, p. 327-347, https://doi.org/10.1007/s00410-012-0811-z.","productDescription":"21 p.","startPage":"327","endPage":"347","numberOfPages":"21","ipdsId":"IP-041015","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":281311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281310,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00410-012-0811-z"}],"country":"Iceland","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -16.857456,65.723445 ], [ -16.857456,65.752183 ], [ -16.807488,65.752183 ], [ -16.807488,65.723445 ], [ -16.857456,65.723445 ] ] ] } } ] }","volume":"165","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-09-22","publicationStatus":"PW","scienceBaseUri":"53cd5243e4b0b290850f46dc","contributors":{"authors":[{"text":"Zierenberg, R.A.","contributorId":8998,"corporation":false,"usgs":true,"family":"Zierenberg","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":488866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schiffmant, Peter","contributorId":51016,"corporation":false,"usgs":true,"family":"Schiffmant","given":"Peter","affiliations":[],"preferred":false,"id":488873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barfod, G.H.","contributorId":93380,"corporation":false,"usgs":true,"family":"Barfod","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":488875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lesher, C.E.","contributorId":28217,"corporation":false,"usgs":true,"family":"Lesher","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":488870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marks, N.E.","contributorId":48410,"corporation":false,"usgs":true,"family":"Marks","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":488872,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":488865,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mortensen, A.K.","contributorId":107526,"corporation":false,"usgs":true,"family":"Mortensen","given":"A.K.","email":"","affiliations":[],"preferred":false,"id":488876,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pope, E.C.","contributorId":30478,"corporation":false,"usgs":true,"family":"Pope","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":488871,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bird, D.K.","contributorId":24934,"corporation":false,"usgs":true,"family":"Bird","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":488869,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reed, M.H.","contributorId":91606,"corporation":false,"usgs":true,"family":"Reed","given":"M.H.","email":"","affiliations":[],"preferred":false,"id":488874,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fridleifsson, G.O.","contributorId":17911,"corporation":false,"usgs":true,"family":"Fridleifsson","given":"G.O.","email":"","affiliations":[],"preferred":false,"id":488867,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Elders, W.A.","contributorId":18110,"corporation":false,"usgs":true,"family":"Elders","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":488868,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70118579,"text":"70118579 - 2013 - Implications of the miocene(?) crooked ridge river of northern arizona for the evolution of the colorado river and grand canyon","interactions":[],"lastModifiedDate":"2018-11-01T14:38:50","indexId":"70118579","displayToPublicDate":"2013-10-11T13:06:08","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Implications of the miocene(?) crooked ridge river of northern arizona for the evolution of the colorado river and grand canyon","docAbstract":"The southwesterly course of the probably pre–early Miocene and possibly Oligocene Crooked Ridge River can be traced continuously for 48 km and discontinuously for 91 km in northern Arizona (United States). The course is visible today in inverted relief. Pebbles in the river gravel came from at least as far northeast as the San Juan Mountains (Colorado). The river valley was carved out of easily eroded Jurassic and Cretaceous rocks whose debris overloaded the river with abundant detritus, probably steepening the gradient. After the river became inactive, the regional drainage network was rearranged three times, and the nearby Four Corners region was lowered 1–2 km by erosion. The river provides constraints on the early evolution of the Colorado River and Grand Canyon. Continuation of this river into lakes in Arizona or Utah is unlikely, as is integration through Grand Canyon by lake spillover. The downstream course of the river probably was across the Kaibab arch in a valley roughly coincident with the present eastern Grand Canyon. Beyond this point, the course may have continued to the drainage basin of the Sacramento River, or to the proto–Snake River drainage. Crooked Ridge River was beheaded by the developing San Juan River, which pirated its waters and probably was tributary to a proto–Colorado River, flowing roughly along its present course west of the Monument upwarp.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES00861.1","usgsCitation":"Lucchitta, I., Holm, R.F., and Lucchitta, B.K., 2013, Implications of the miocene(?) crooked ridge river of northern arizona for the evolution of the colorado river and grand canyon: Geosphere, v. 9, no. 6, p. 1417-1433, https://doi.org/10.1130/GES00861.1.","productDescription":"17 p.","startPage":"1417","endPage":"1433","numberOfPages":"17","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":473487,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00861.1","text":"Publisher Index Page"},{"id":291320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291319,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00861.1"}],"volume":"9","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-10-11","publicationStatus":"PW","scienceBaseUri":"57f7f22ee4b0bc0bec0a0222","contributors":{"authors":[{"text":"Lucchitta, Ivo","contributorId":94291,"corporation":false,"usgs":true,"family":"Lucchitta","given":"Ivo","email":"","affiliations":[],"preferred":false,"id":497084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm, Richard F.","contributorId":8009,"corporation":false,"usgs":true,"family":"Holm","given":"Richard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":497083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lucchitta, Baerbel K. blucchitta@usgs.gov","contributorId":3649,"corporation":false,"usgs":true,"family":"Lucchitta","given":"Baerbel","email":"blucchitta@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":497082,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048807,"text":"70048807 - 2013 - Classification of freshwater ice conditions on the Alaskan Arctic Coastal Plain using ground penetrating radar and TerraSAR-X satellite data","interactions":[],"lastModifiedDate":"2013-11-06T10:27:00","indexId":"70048807","displayToPublicDate":"2013-10-11T09:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Classification of freshwater ice conditions on the Alaskan Arctic Coastal Plain using ground penetrating radar and TerraSAR-X satellite data","docAbstract":"Arctic freshwater ecosystems have responded rapidly to climatic changes over the last half century. Lakes and rivers are experiencing a thinning of the seasonal ice cover, which may increase potential over-wintering freshwater habitat, winter water supply for industrial withdrawal, and permafrost degradation. Here, we combined the use of ground penetrating radar (GPR) and high-resolution (HR) spotlight TerraSAR-X (TSX) satellite data (1.25 m resolution) to identify and characterize floating ice and grounded ice conditions in lakes, ponds, beaded stream pools, and an alluvial river channel. Classified ice conditions from the GPR and the TSX data showed excellent agreement: 90.6% for a predominantly floating ice lake, 99.7% for a grounded ice lake, 79.0% for a beaded stream course, and 92.1% for the alluvial river channel. A GIS-based analysis of 890 surface water features larger than 0.01 ha showed that 42% of the total surface water area potentially provided over-wintering habitat during the 2012/2013 winter. Lakes accounted for 89% of this area, whereas the alluvial river channel accounted for 10% and ponds and beaded stream pools each accounted for <1%. Identification of smaller landscape features such as beaded stream pools may be important because of their distribution and role in connecting other water bodies on the landscape. These findings advance techniques for detecting and knowledge associated with potential winter habitat distribution for fish and invertebrates at the local scale in a region of the Arctic with increasing stressors related to climate and land use change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/2150704X.2013.834392","usgsCitation":"Jones, B.M., Gusmeroli, A., Arp, C.D., Strozzi, T., Grosse, G., Gaglioti, B.V., and Whitman, M.S., 2013, Classification of freshwater ice conditions on the Alaskan Arctic Coastal Plain using ground penetrating radar and TerraSAR-X satellite data: International Journal of Remote Sensing, v. 34, no. 23, p. 8267-8279, https://doi.org/10.1080/2150704X.2013.834392.","productDescription":"13 p.","startPage":"8267","endPage":"8279","numberOfPages":"13","ipdsId":"IP-049177","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":278875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278874,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/2150704X.2013.834392"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain;Fish Creek;Judy Creek;Ublutuoch River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -151.599998,70.199529 ], [ -151.599998,70.335093 ], [ -151.259422,70.335093 ], [ -151.259422,70.199529 ], [ -151.599998,70.199529 ] ] ] } } ] }","volume":"34","issue":"23","noUsgsAuthors":false,"publicationDate":"2013-09-23","publicationStatus":"PW","scienceBaseUri":"527b72f5e4b0a7295d9b85b5","contributors":{"authors":[{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":485676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gusmeroli, Alessio","contributorId":106003,"corporation":false,"usgs":true,"family":"Gusmeroli","given":"Alessio","affiliations":[],"preferred":false,"id":485682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":485678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strozzi, Tazio","contributorId":64547,"corporation":false,"usgs":true,"family":"Strozzi","given":"Tazio","email":"","affiliations":[],"preferred":false,"id":485679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":485681,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaglioti, Benjamin V. 0000-0003-0591-5253 bgaglioti@usgs.gov","orcid":"https://orcid.org/0000-0003-0591-5253","contributorId":4521,"corporation":false,"usgs":true,"family":"Gaglioti","given":"Benjamin","email":"bgaglioti@usgs.gov","middleInitial":"V.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":485677,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whitman, Matthew S.","contributorId":67961,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":485680,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047104,"text":"70047104 - 2013 - Effects of dreissenids on monitoring and management of fisheries in western Lake Erie","interactions":[],"lastModifiedDate":"2014-02-05T15:39:57","indexId":"70047104","displayToPublicDate":"2013-10-01T15:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Effects of dreissenids on monitoring and management of fisheries in western Lake Erie","docAbstract":"Water clarity increased in nearshore areas of western Lake Erie by the early-1990s mainly as a result of the filtering activities of dreissenid mussels (Dreissena spp.), which invaded in the mid-1980s. We hypothesized that increased water clarity would result in greater trawl avoidance and thus reduced ability to capture fish in bottom trawls during daytime compared to nighttime. We examined this hypothesis by summarizing three analyses on fish data collected in western Lake Erie. First, we used a two-tiered modeling approach on the ration (R) of catch per hour (CPH) of age-0 yellow perch (Perca flavencens Mitchell) at night to CPH during daytime in 1961-2005. The best a priori and a posteriori models indicated a shift to higher CPH at night (R > 1) between 1990 and 1991, which corresponded to 3 years after the dreissenid invasion and when water clarity noticeably increased at nearshore sites. Secondly, we examined effects of nighttime sampling on estimates of abundance of age-2 and older yellow perch, which form the basis for recommended allowable harvest (RAH). When data from night sampling were included in models that predict abundance of age-2 yellow perch from indices of abundance of age-0 and age-1 yellow perch, predicted abundance was lower and model precision, as measured by r-squared, was higher compared to models that excluded data collected at night. Furthermore, the use of only CPH data collected at night typically resulted in lower estimates of abundance and more precise models compared to models that included CPH data collected during both daytime and nighttime. Thirdly, we used presence/absence data from paired bottom trawl samples to calculate an index of capture probability (or catchability) to determine if our ability to capture the four most common benthic species in western Lake Erie was affected by dreissenid-caused increased water clarity. Three species of fish(white perch, Morone americana Gmelin; yellow perch; and trout-perch, Percopsis omiscomaycus Walbaum) had lower mean daytime catchability than nighttime catchability after dreissenids became established, which supported the hypothesis of greater trawl avoidance during daytime following establishment of dreissenids. Results from freshwater drum (Aplodinotus grunniens Rafinesque) were opposite those of the other three species, which may be a result of behavioral shifts due to freshwater drum feeding on dreissenids mussels. Collectively, these three studies suggest that dreissenids indirectly affected our ability to assess fish populations, which further affects estimates of fish densities and relationships between indices of abundance and true abundance.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Quagga and zebra mussels: biology, impacts, and control","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"CRC Press","publisherLocation":"Hoboken, NJ","isbn":"9781439854372","usgsCitation":"Stapanian, M.A., and Kocovsky, P., 2013, Effects of dreissenids on monitoring and management of fisheries in western Lake Erie, chap. <i>of</i> Quagga and zebra mussels: biology, impacts, and control, p. 681-692.","productDescription":"12 p.","startPage":"681","endPage":"692","numberOfPages":"12","ipdsId":"IP-027862","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":282058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.4797,41.3815 ], [ -83.4797,42.6773 ], [ -81.0731,42.6773 ], [ -81.0731,41.3815 ], [ -83.4797,41.3815 ] ] ] } } ] }","edition":"2nd","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd56bbe4b0b290850f7190","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":481062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick M.","contributorId":89381,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick M.","affiliations":[],"preferred":false,"id":481063,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70103400,"text":"70103400 - 2013 - Geographic setting influences Great Lakes beach microbiological water quality","interactions":[],"lastModifiedDate":"2018-09-13T10:19:52","indexId":"70103400","displayToPublicDate":"2013-10-01T15:32:43","publicationYear":"2013","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":"Geographic setting influences Great Lakes beach microbiological water quality","docAbstract":"Understanding of factors that influence Escherichia coli (EC) and enterococci (ENT) concentrations, pathogen occurrence, and microbial sources at Great Lakes beaches comes largely from individual beach studies. Using 12 representative beaches, we tested enrichment cultures from 273 beach water and 22 tributary samples for EC, ENT, and genes indicating the bacterial pathogens Shiga-toxin producing E. coli (STEC), Shigella spp., Salmonella spp, Campylobacter jejuni/coli, and methicillin-resistant Staphylococcus aureus, and 108–145 samples for Bacteroides human, ruminant, and gull source-marker genes. EC/ENT temporal patterns, general Bacteroides concentration, and pathogen types and occurrence were regionally consistent (up to 40 km), but beach catchment variables (drains/creeks, impervious surface, urban land cover) influenced exceedances of EC/ENT standards and detections of Salmonella and STEC. Pathogen detections were more numerous when the EC/ENT Beach Action Value (but not when the Geometric Mean and Statistical Threshold Value) was exceeded. EC, ENT, and pathogens were not necessarily influenced by the same variables. Multiple Bacteroides sources, varying by date, occurred at every beach. Study of multiple beaches in different geographic settings provided new insights on the contrasting influences of regional and local variables, and a broader-scale perspective, on significance of EC/ENT exceedances, bacterial sources, and pathogen occurrence.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es402299a","usgsCitation":"Haack, S.K., Fogarty, L., Stelzer, E.A., Fuller, L.M., Brennan, A.K., Isaacs, N.M., and Johnson, H., 2013, Geographic setting influences Great Lakes beach microbiological water quality: Environmental Science & Technology, v. 47, no. 21, p. 12054-12063, https://doi.org/10.1021/es402299a.","productDescription":"10 p.","startPage":"12054","endPage":"12063","ipdsId":"IP-049093","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":473492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es402299a","text":"Publisher Index Page"},{"id":286854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286848,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es402299a"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","volume":"47","issue":"21","noUsgsAuthors":false,"publicationDate":"2013-09-27","publicationStatus":"PW","scienceBaseUri":"53771753e4b02eab8669ec99","contributors":{"authors":[{"text":"Haack, Sheridan K. skhaack@usgs.gov","contributorId":1982,"corporation":false,"usgs":true,"family":"Haack","given":"Sheridan","email":"skhaack@usgs.gov","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fogarty, Lisa R.","contributorId":74074,"corporation":false,"usgs":true,"family":"Fogarty","given":"Lisa R.","affiliations":[],"preferred":false,"id":493328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Lori M. lmfuller@usgs.gov","contributorId":2100,"corporation":false,"usgs":true,"family":"Fuller","given":"Lori","email":"lmfuller@usgs.gov","middleInitial":"M.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brennan, Angela K. akbrennan@usgs.gov","contributorId":4892,"corporation":false,"usgs":true,"family":"Brennan","given":"Angela","email":"akbrennan@usgs.gov","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493326,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isaacs, Natasha M. nisaacs@usgs.gov","contributorId":4918,"corporation":false,"usgs":true,"family":"Isaacs","given":"Natasha","email":"nisaacs@usgs.gov","middleInitial":"M.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493327,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Heather E.","contributorId":207837,"corporation":false,"usgs":false,"family":"Johnson","given":"Heather E.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":12456,"text":"former USGS scientist","active":true,"usgs":false}],"preferred":false,"id":744856,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70198337,"text":"70198337 - 2013 - Variability and trends in irrigated and non-irrigated croplands in the central U.S","interactions":[],"lastModifiedDate":"2018-12-07T14:36:21","indexId":"70198337","displayToPublicDate":"2013-10-01T14:52:11","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Variability and trends in irrigated and non-irrigated croplands in the central U.S","docAbstract":"<p><span>Over 23 million hectares (233 thousand km</span><sup>2</sup><span>) of U.S. croplands are irrigated and there was an overall net expansion of 522 thousand hectares nationally from 2002 to 2007. Most of this expansion occurred across the High Plains Aquifer (HPA) in the central Great Plains. Until recently, there has been a lack of geospatially-detailed irrigation data that are consistent, timely, geographically extensive, and periodic to support studies linking agricultural land use change to crop yields, aquifer water use, and other factors. We employed a modeling approach implemented at two time intervals (2002 and 2007) to map irrigated agriculture across the conterminous U.S. at a sub-county spatial detail (250 m</span><sup>2</sup><span>&nbsp;spatial resolution). The model integrated U.S. Department of Agriculture (USDA) county statistics, satellite imagery, and a national land cover map. The geospatial model output, called the Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US), was then used to depict detailed spatial patterns of irrigation change across the HPA from 2002 to 2007. Spatial changes in irrigation may result in shifts in local and regional climate, groundwater depletion, and higher crop yields and farm income. A closer investigation of irrigated corn across the HPA from 2000 to 2012 revealed even more variability through time, underscoring the need for more frequent periodic mapping of irrigated agriculture.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Information for sustainable agriculture, International Conference on Agro-Geoinformatics, 2nd, Fairfax, Va., 12–16 August 2013, Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Second International Conference on Agro-Geoinformatics","conferenceDate":"August 12-16, 2013","conferenceLocation":"Fairfax, VA","language":"English","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","publisherLocation":"Piscataway, NJ","doi":"10.1109/Argo-Geoinformatics.2013.6621888","isbn":"978-1-4799-0868-4","usgsCitation":"Brown, J.F., and Pervez, M., 2013, Variability and trends in irrigated and non-irrigated croplands in the central U.S, <i>in</i> Information for sustainable agriculture, International Conference on Agro-Geoinformatics, 2nd, Fairfax, Va., 12–16 August 2013, Proceedings, Fairfax, VA, August 12-16, 2013, p. 102-105, https://doi.org/10.1109/Argo-Geoinformatics.2013.6621888.","productDescription":"4 p.","startPage":"102","endPage":"105","ipdsId":"IP-049069","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":359681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bfd1472e4b0815414ca390c","contributors":{"authors":[{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":741130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 shahriar.pervez.ctr@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":74230,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"shahriar.pervez.ctr@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":741131,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70074270,"text":"70074270 - 2013 - Statistical mapping of zones of focused groundwater/surface-water exchange using fiber-optic distributed temperature sensing","interactions":[],"lastModifiedDate":"2014-01-28T14:47:30","indexId":"70074270","displayToPublicDate":"2013-10-01T14:41:15","publicationYear":"2013","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":"Statistical mapping of zones of focused groundwater/surface-water exchange using fiber-optic distributed temperature sensing","docAbstract":"Fiber-optic distributed temperature sensing (FO-DTS) increasingly is used to map zones of focused groundwater/surface-water exchange (GWSWE). Previous studies of GWSWE using FO-DTS involved identification of zones of focused GWSWE based on arbitrary cutoffs of FO-DTS time-series statistics (e.g., variance, cross-correlation between temperature and stage, or spectral power). New approaches are needed to extract more quantitative information from large, complex FO-DTS data sets while concurrently providing an assessment of uncertainty associated with mapping zones of focused GSWSE. Toward this end, we present a strategy combining discriminant analysis (DA) and spectral analysis (SA). We demonstrate the approach using field experimental data from a reach of the Columbia River adjacent to the Hanford 300 Area site. Results of the combined SA/DA approach are shown to be superior to previous results from qualitative interpretation of FO-DTS spectra alone.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/wrcr.20458","usgsCitation":"Mwakanyamale, K., Day-Lewis, F.D., and Slater, L.D., 2013, Statistical mapping of zones of focused groundwater/surface-water exchange using fiber-optic distributed temperature sensing: Water Resources Research, v. 49, no. 10, p. 6979-6984, https://doi.org/10.1002/wrcr.20458.","productDescription":"6 p.","startPage":"6979","endPage":"6984","numberOfPages":"6","ipdsId":"IP-050678","costCenters":[{"id":496,"text":"Office of Groundwater-Branch of Geophysics","active":false,"usgs":true}],"links":[{"id":473493,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20458","text":"Publisher Index Page"},{"id":281623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281622,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20458"}],"country":"United States","state":"Washington","city":"Richland","otherGeospatial":"Columbia River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.400445,46.198408 ], [ -119.400445,46.370576 ], [ -119.211582,46.370576 ], [ -119.211582,46.198408 ], [ -119.400445,46.198408 ] ] ] } } ] }","volume":"49","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-25","publicationStatus":"PW","scienceBaseUri":"53cd7401e4b0b29085109465","contributors":{"authors":[{"text":"Mwakanyamale, Kisa","contributorId":75847,"corporation":false,"usgs":true,"family":"Mwakanyamale","given":"Kisa","email":"","affiliations":[],"preferred":false,"id":489469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":489468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slater, Lee D.","contributorId":95792,"corporation":false,"usgs":true,"family":"Slater","given":"Lee","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":489470,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044237,"text":"70044237 - 2013 - Recent changes in successional state of the deep-water fish communities of Lakes Michigan, Huron, and Ontario and management implications","interactions":[],"lastModifiedDate":"2023-04-04T14:31:57.929851","indexId":"70044237","displayToPublicDate":"2013-10-01T13:40:33","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Recent changes in successional state of the deep-water fish communities of Lakes Michigan, Huron, and Ontario and management implications","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Great Lakes fisheries policy and management: A binational perspective","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Michigan State University Press","usgsCitation":"Eshenroder, R., and Lantry, B.F., 2013, Recent changes in successional state of the 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J.","contributorId":268054,"corporation":false,"usgs":false,"family":"Leonard","given":"Nancy J.","affiliations":[{"id":20304,"text":"Pacific States Marine Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":868577,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Eshenroder, Randy L.","contributorId":86716,"corporation":false,"usgs":true,"family":"Eshenroder","given":"Randy L.","affiliations":[],"preferred":false,"id":475163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":475162,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70099618,"text":"70099618 - 2013 - It's time for bold new approaches to link delta science and policymaking","interactions":[],"lastModifiedDate":"2020-12-29T12:33:15.460312","indexId":"70099618","displayToPublicDate":"2013-10-01T13:38:04","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"It's time for bold new approaches to link delta science and policymaking","docAbstract":"<p>California’s Sacramento–San Joaquin Delta is widely recognized as a highly damaged\necosystem. The Delta is also emblematic of a growing sense worldwide that society\nneeds to do a better job of using scientific knowledge to guide conservation and\nresource management policies. Fortunately, we now have an unprecedented opportunity\nto get it right in building structures that support effective science–policy linkages\nin the Delta. By adopting bold steps to implement a “one Delta, one science” approach\nfor a new Delta Science Plan, California can become a leading example of how to\ntackle the global problem of rapid ecological change and biodiversity loss.</p>\n<br/>\n<p>In this essay, we first describe the current paradox—continued environmental declines\ndespite considerable investments in science and policy actions—and the high stakes of\ngambling with failure. Next, we explore why it is so hard to use scientific knowledge\nto design and implement policies that meet society’s sustainability goals. We then\noutline promising ways to overcome these obstacles, drawing on recent experiences.\nWe conclude with thoughts on how to leverage this experience to develop a bold new\napproach to Delta science.</p>","language":"English","publisher":"John Muir Institute of the Environment","doi":"10.15447/sfews.2013v11iss3art6","usgsCitation":"Cloern, J.E., and Hanak, E., 2013, It's time for bold new approaches to link delta science and policymaking: San Francisco Estuary and Watershed Science, v. 11, no. 3, 7 p., https://doi.org/10.15447/sfews.2013v11iss3art6.","productDescription":"7 p.","ipdsId":"IP-048889","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473496,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2013v11iss3art6","text":"Publisher Index Page"},{"id":381712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5646,38.6515 ], [ -122.5646,37.1915 ], [ -120.9973,37.1915 ], [ -120.9973,38.6515 ], [ -122.5646,38.6515 ] ] ] } } ] }","volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-10-22","publicationStatus":"PW","scienceBaseUri":"535594a8e4b0120853e8c037","contributors":{"authors":[{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":491988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanak, Ellen","contributorId":22674,"corporation":false,"usgs":true,"family":"Hanak","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":491989,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70057609,"text":"70057609 - 2013 - Temporal, spatial, and body size effects on growth rates of loggerhead sea turtles (<i>Caretta caretta</i>) in the Northwest Atlantic","interactions":[],"lastModifiedDate":"2013-11-26T13:02:23","indexId":"70057609","displayToPublicDate":"2013-10-01T12:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal, spatial, and body size effects on growth rates of loggerhead sea turtles (<i>Caretta caretta</i>) in the Northwest Atlantic","docAbstract":"In response to a call from the US National Research Council for research programs to combine their data to improve sea turtle population assessments, we analyzed somatic growth data for Northwest Atlantic (NWA) loggerhead sea turtles (Caretta caretta) from 10 research programs. We assessed growth dynamics over wide ranges of geography (9–33°N latitude), time (1978–2012), and body size (35.4–103.3 cm carapace length). Generalized additive models revealed significant spatial and temporal variation in growth rates and a significant decline in growth rates with increasing body size. Growth was more rapid in waters south of the USA (<24°N) than in USA waters. Growth dynamics in southern waters in the NWA need more study because sample size was small. Within USA waters, the significant spatial effect in growth rates of immature loggerheads did not exhibit a consistent latitudinal trend. Growth rates declined significantly from 1997 through 2007 and then leveled off or increased. During this same interval, annual nest counts in Florida declined by 43 % (Witherington et al. in Ecol Appl 19:30–54, 2009) before rebounding. Whether these simultaneous declines reflect responses in productivity to a common environmental change should be explored to determine whether somatic growth rates can help interpret population trends based on annual counts of nests or nesting females. Because of the significant spatial and temporal variation in growth rates, population models of NWA loggerheads should avoid employing growth data from restricted spatial or temporal coverage to calculate demographic metrics such as age at sexual maturity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00227-013-2264-y","usgsCitation":"Bjorndal, K.A., Schroeder, B.A., Foley, A., Witherington, B.E., Bresette, M., Clark, D., Herren, R.M., Arendt, M.D., Schmid, J., Meylan, A.B., Meylan, P.A., Provancha, J., Hart, K.M., Lamont, M.M., Carthy, R.R., and Bolten, A.B., 2013, Temporal, spatial, and body size effects on growth rates of loggerhead sea turtles (<i>Caretta caretta</i>) in the Northwest Atlantic: Marine Biology, v. 160, no. 10, p. 2711-2721, https://doi.org/10.1007/s00227-013-2264-y.","productDescription":"11 p.","startPage":"2711","endPage":"2721","numberOfPages":"11","temporalStart":"1978-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-044468","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":279838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279837,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00227-013-2264-y"}],"country":"United States","otherGeospatial":"Northwest Atlantic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.6,9.0 ], [ -81.6,33.0 ], [ -51.9,33.0 ], [ -51.9,9.0 ], [ -81.6,9.0 ] ] ] } } ] }","volume":"160","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-06-07","publicationStatus":"PW","scienceBaseUri":"5295d12be4b0becc369c8c9c","contributors":{"authors":[{"text":"Bjorndal, Karen A.","contributorId":96997,"corporation":false,"usgs":false,"family":"Bjorndal","given":"Karen","email":"","middleInitial":"A.","affiliations":[{"id":12567,"text":"Archie Carr Center for Sea Turtle Research, Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":486854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schroeder, Barbara A.","contributorId":87853,"corporation":false,"usgs":true,"family":"Schroeder","given":"Barbara","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":486852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Allen M.","contributorId":80178,"corporation":false,"usgs":true,"family":"Foley","given":"Allen M.","affiliations":[],"preferred":false,"id":486850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Witherington, Blair E.","contributorId":60117,"corporation":false,"usgs":true,"family":"Witherington","given":"Blair","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":486847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bresette, Michael","contributorId":61335,"corporation":false,"usgs":true,"family":"Bresette","given":"Michael","email":"","affiliations":[],"preferred":false,"id":486848,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clark, David","contributorId":95383,"corporation":false,"usgs":true,"family":"Clark","given":"David","affiliations":[],"preferred":false,"id":486853,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herren, Richard M.","contributorId":46409,"corporation":false,"usgs":true,"family":"Herren","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486845,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arendt, Michael D.","contributorId":105639,"corporation":false,"usgs":true,"family":"Arendt","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":486855,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schmid, Jeffrey R.","contributorId":79794,"corporation":false,"usgs":true,"family":"Schmid","given":"Jeffrey R.","affiliations":[],"preferred":false,"id":486849,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meylan, Anne B.","contributorId":36045,"corporation":false,"usgs":true,"family":"Meylan","given":"Anne","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":486844,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Meylan, Peter A.","contributorId":82609,"corporation":false,"usgs":true,"family":"Meylan","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":486851,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Provancha, Jane A.","contributorId":56551,"corporation":false,"usgs":true,"family":"Provancha","given":"Jane A.","affiliations":[],"preferred":false,"id":486846,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":486840,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":486842,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Carthy, Raymond R. 0000-0001-8978-5083 rayc@usgs.gov","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":3685,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"rayc@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":486841,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Bolten, Alan B.","contributorId":20247,"corporation":false,"usgs":false,"family":"Bolten","given":"Alan","email":"","middleInitial":"B.","affiliations":[{"id":12567,"text":"Archie Carr Center for Sea Turtle Research, Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":486843,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70047259,"text":"70047259 - 2013 - Seasonal persistence of marine-derived nutrients in south-central Alaskan salmon streams","interactions":[],"lastModifiedDate":"2013-11-07T13:08:24","indexId":"70047259","displayToPublicDate":"2013-10-01T12:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal persistence of marine-derived nutrients in south-central Alaskan salmon streams","docAbstract":"Spawning salmon deliver annual pulses of marine-derived nutrients (MDN) to riverine ecosystems around the Pacific Rim, leading to increased growth and condition in aquatic and riparian biota. The influence of pulsed resources may last for extended periods of time when recipient food webs have effective storage mechanisms, yet few studies have tracked the seasonal persistence of MDN. With this as our goal, we sampled stream water chemistry and selected stream and riparian biota spring through fall at 18 stations (in six watersheds) that vary widely in spawner abundance and at nine stations (in three watersheds) where salmon runs were blocked by waterfalls. We then developed regression models that related dissolved nutrient concentrations and biochemical measures of MDN assimilation to localized spawner density across these 27 stations. Stream water ammonium-N and orthophosphate-P concentrations increased with spawner density during the summer salmon runs, but responses did not persist into the following fall. The effect of spawner density on δ<sup>15</sup>N in generalist macroinvertebrates and three independent MDN metrics (δ<sup>15</sup>N, δ<sup>34</sup>S, and ω3:ω6 fatty acids) in juvenile Dolly Varden (Salvelinus malma) was positive and similar during each season, indicating that MDN levels in biota increased with spawner abundance and were maintained for at least nine months after inputs. Delta <sup>15</sup>N in a riparian plant, horsetail (Equisetum fluviatile), and scraper macroinvertebrates did not vary with spawner density in any season, suggesting a lack of MDN assimilation by these lower trophic levels. Our results demonstrate the ready assimilation of MDN by generalist consumers and the persistence of this pulsed subsidy in these organisms through the winter and into the next growing season.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES13-00112.1","usgsCitation":"Rinella, D.J., Wipfi, M.S., Walker, C.M., Stricker, C.A., and Heintz, R.A., 2013, Seasonal persistence of marine-derived nutrients in south-central Alaskan salmon streams: Ecosphere, v. 4, no. 10, 18 p., https://doi.org/10.1890/ES13-00112.1.","productDescription":"18 p.","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-045295","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473500,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es13-00112.1","text":"Publisher Index Page"},{"id":278925,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/ES13-00112.1"},{"id":278926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -152.1705,59.0682 ], [ -152.1705,60.9256 ], [ -148.765,60.9256 ], [ -148.765,59.0682 ], [ -152.1705,59.0682 ] ] ] } } ] }","volume":"4","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-14","publicationStatus":"PW","scienceBaseUri":"527cc494e4b0850ea050ceb7","contributors":{"authors":[{"text":"Rinella, Daniel J.","contributorId":69048,"corporation":false,"usgs":true,"family":"Rinella","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":481547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfi, Mark S.","contributorId":28518,"corporation":false,"usgs":true,"family":"Wipfi","given":"Mark","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":481546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Coowe M.","contributorId":96182,"corporation":false,"usgs":false,"family":"Walker","given":"Coowe","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":481545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heintz, Ron A.","contributorId":101552,"corporation":false,"usgs":true,"family":"Heintz","given":"Ron","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":481549,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048385,"text":"70048385 - 2013 - Characterizing and estimating noise in InSAR and InSAR time series with MODIS","interactions":[],"lastModifiedDate":"2018-10-24T16:50:46","indexId":"70048385","displayToPublicDate":"2013-10-01T11:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing and estimating noise in InSAR and InSAR time series with MODIS","docAbstract":"InSAR time series analysis is increasingly used to image subcentimeter displacement rates of the ground surface. The precision of InSAR observations is often affected by several noise sources, including spatially correlated noise from the turbulent atmosphere. Under ideal scenarios, InSAR time series techniques can substantially mitigate these effects; however, in practice the temporal distribution of InSAR acquisitions over much of the world exhibit seasonal biases, long temporal gaps, and insufficient acquisitions to confidently obtain the precisions desired for tectonic research. Here, we introduce a technique for constraining the magnitude of errors expected from atmospheric phase delays on the ground displacement rates inferred from an InSAR time series using independent observations of precipitable water vapor from MODIS. We implement a Monte Carlo error estimation technique based on multiple (100+) MODIS-based time series that sample date ranges close to the acquisitions times of the available SAR imagery. This stochastic approach allows evaluation of the significance of signals present in the final time series product, in particular their correlation with topography and seasonality. We find that topographically correlated noise in individual interferograms is not spatially stationary, even over short-spatial scales (<10 km). Overall, MODIS-inferred displacements and velocities exhibit errors of similar magnitude to the variability within an InSAR time series. We examine the MODIS-based confidence bounds in regions with a range of inferred displacement rates, and find we are capable of resolving velocities as low as 1.5 mm/yr with uncertainties increasing to ∼6 mm/yr in regions with higher topographic relief.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemistry, Geophysics, Geosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/ggge.20258","usgsCitation":"Barnhart, W.D., and Lohman, R.B., 2013, Characterizing and estimating noise in InSAR and InSAR time series with MODIS: Geochemistry, Geophysics, Geosystems, v. 14, no. 10, p. 4121-4132, https://doi.org/10.1002/ggge.20258.","productDescription":"12 p.","startPage":"4121","endPage":"4132","numberOfPages":"12","ipdsId":"IP-051050","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473501,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ggge.20258","text":"Publisher Index Page"},{"id":280998,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ggge.20258"},{"id":280999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","volume":"14","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-02","publicationStatus":"PW","scienceBaseUri":"53cd50c3e4b0b290850f3882","contributors":{"authors":[{"text":"Barnhart, William D. wbarnhart@usgs.gov","contributorId":5299,"corporation":false,"usgs":true,"family":"Barnhart","given":"William","email":"wbarnhart@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":484491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lohman, Rowena B.","contributorId":36050,"corporation":false,"usgs":true,"family":"Lohman","given":"Rowena","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":484492,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70147937,"text":"70147937 - 2013 - Links between climate change, water-table depth, and water chemistry in a mineralized mountain watershed","interactions":[],"lastModifiedDate":"2015-05-11T10:45:24","indexId":"70147937","displayToPublicDate":"2013-10-01T11:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Links between climate change, water-table depth, and water chemistry in a mineralized mountain watershed","docAbstract":"<p>Recent studies suggest that climate change is causing rising solute concentrations in mountain lakes and streams. These changes may be more pronounced in mineralized watersheds due to the sensitivity of sulfide weathering to changes in subsurface oxygen transport. Specific causal mechanisms linking climate change and accelerated weathering rates have been proposed, but in general remain entirely hypothetical. For mineralized watersheds, a favored hypothesis is that falling water tables caused by declining recharge rates allow an increasing volume of sulfide-bearing rock to become exposed to air, thus oxygen. Here, we test the hypothesis that falling water tables are the primary cause of an increase in metals and SO4 (100-400%) observed since 1980 in the Upper Snake River (USR), Colorado. The USR drains an alpine watershed geologically and climatologically representative of many others in mineralized areas of the western U.S. Hydrologic and chemical data collected from 2005 to 2011 in a deep monitoring well (WP1) at the top of the USR watershed are utilized. During this period, both water table depths and groundwater SO4 concentrations have generally increased in the well. A numerical model was constructed using TOUGHREACT that simulates pyrite oxidation near WP1, including groundwater flow and oxygen transport in both saturated and unsaturated zones. The modeling suggests that a falling water table could produce an increase in metals and SO4 of a magnitude similar to that observed in the USR (up to 300%). Future water table declines may produce limited increases in sulfide weathering high in the watershed because of the water table dropping below the depth of oxygen penetration, but may continue to enhance sulfide weathering lower in the watershed where water tables are shallower. Advective air (oxygen) transport in the unsaturated zone caused by seasonally variable recharge and associated water table fluctuations was found to have little influence on pyrite oxidation rates near WP1. However, this mechanism could be important in the case of a shallow dynamic water table and more abundant/reactive sulfides in the shallow subsurface. Data from WP1 and numerical modeling results are thus consistent with the falling water table hypothesis, and illustrate fundamental processes linking climate and sulfide weathering in mineralized watersheds.</p>","language":"English","publisher":"International Association of Geochemistry and Cosmochemistry","publisherLocation":"New York, NY","doi":"10.1016/j.apgeochem.2013.07.002","usgsCitation":"Manning, A.H., Verplanck, P.L., Caine, J.S., and Todd, A.S., 2013, Links between climate change, water-table depth, and water chemistry in a mineralized mountain watershed: Applied Geochemistry, v. 37, p. 64-78, https://doi.org/10.1016/j.apgeochem.2013.07.002.","productDescription":"15 p.","startPage":"64","endPage":"78","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044072","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":300277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5551d2b6e4b0a92fa7e93bf2","contributors":{"authors":[{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":546436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":546437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":546438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Todd, Andrew S. atodd@usgs.gov","contributorId":1022,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew","email":"atodd@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":546439,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044590,"text":"70044590 - 2013 - Social-ecological predictors of global invasions and extinctions","interactions":[],"lastModifiedDate":"2013-11-14T11:18:53","indexId":"70044590","displayToPublicDate":"2013-10-01T11:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Social-ecological predictors of global invasions and extinctions","docAbstract":"Most assessments of resilience have been focused on local conditions. Studies focused on the relationship between humanity and environmental degradation are rare, and are rarely comprehensive. We investigated multiple social-ecological factors for 100 countries around the globe in relation to the percentage of invasions and extinctions within each country. These 100 countries contain approximately 87% of the world’s population, produce 43% of the world’s per capita gross domestic product (GDP), and take up 74% of the earth’s total land area. We used an information theoretic approach to determine which models were most supported by our data, utilizing an a priori set of plausible models that included a combination of 15 social-ecological variables, each social-ecological factor by itself, and selected social-ecological factors grouped into three broad classes. These variables were per capita GDP, export-import ratio, tourism, undernourishment, energy efficiency, agricultural intensity, rainfall, water stress, wilderness protection, total biodiversity, life expectancy, adult literacy, pesticide regulation, political stability, and female participation in government. Our results indicate that as total biodiversity and total land area increase, the percentage of endangered birds also increases. As the independent variables (agricultural intensity, rainfall, water stress, and total biodiversity) in the ecological class model increase, the percentage of endangered mammals in a country increases. The percentage of invasive birds and mammals in a country increases as per capita GDP increases. As life expectancy increases, the percentage of invasive and endangered birds and mammals increases. Although our analysis does not determine mechanisms, the patterns observed in this study provide insight into the dynamics of a complex, global, social-ecological system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.5751/ES-05550-180315","usgsCitation":"Lotz, A., and Allen, C.R., 2013, Social-ecological predictors of global invasions and extinctions: Ecology and Society, v. 18, no. 3, 15 p., https://doi.org/10.5751/ES-05550-180315.","productDescription":"15 p.","numberOfPages":"15","ipdsId":"IP-041216","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-05550-180315","text":"Publisher Index Page"},{"id":279074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279073,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5751/ES-05550-180315"}],"volume":"18","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528607a4e4b00926c21865b7","contributors":{"authors":[{"text":"Lotz, Aaron","contributorId":105211,"corporation":false,"usgs":true,"family":"Lotz","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":475927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":475926,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047293,"text":"70047293 - 2013 - Evaluation of potential gas clogging associated with managed aquifer recharge from a spreading basin, southwestern Utah, U.S.A.","interactions":[],"lastModifiedDate":"2017-01-03T15:04:27","indexId":"70047293","displayToPublicDate":"2013-10-01T11:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Evaluation of potential gas clogging associated with managed aquifer recharge from a spreading basin, southwestern Utah, U.S.A.","docAbstract":"<p>Sand Hollow Reservoir in southwestern Utah, USA, is operated for both surface-water storage and managed aquifer recharge via infiltration from surface basin spreading to the underlying Navajo Sandstone. The total volume of estimated recharge from 2002 through 2011 was 131 Mm<sup>3</sup>., resulting in groundwater levels rising as much as 40 m. Hydraulic and hydrochemical data from the reservoir and various monitoring wells in Sand Hollow were used to evaluate the timing and location or reservoir recharge moving through the aquifer, along either potential clogging from trapped gases in pore throats, siltation, or algal mats. Several hyrdochemical tracers indicated this recharge had arrived at four monitoring wells located within about 300 m of the reservoir by 2012. At these wells, peak total dissolved-gas pressures exceeded two atmospheres (&gt;1,500 mm mercury) and dissolved oxygen approached three times atmospherically equilibrated concentrations (&gt;25 mg/L). these field parameters indicate that large amounts of gas trapped in pore spaces beneath the water table have dissolved. Lesser but notable increases in these dissolved-gas parameters (without increases in other indicators such as chloride-to-bromide ratios) at monitoring wells farther away (&gt;300 m) indicate moderate amounts of in-situ sir entrapment and dissolution caused by the rise in regional groundwater levels. This is confirmed by hydrochemical difference between these sites and wells closer to the reservoir where recharge had already arrived. As the reservoir was being filled by 2002, managed aquifer recharge rates were initially very high (1.5 x 10<sup>-4</sup> cm/s) with the vadose zone becoming saturated beneath and surrounding the reservoir. These rates declined to less than 3.5 x 10<sup>-6</sup> cm/s during 2008. The 2002-08 decrease was likely associated with a declining regional hydraulic gradient and clogging. Increasing recharge rates during mid-2009 through 2010 may have been partly caused by dissolution of air bubbles initially entrapped in the aquifer matrix. Theoretical gas dissolution rates, coupled with field evidence of a decline iin total dissolved-gas pressure and dissolved oxygen from nearby monitoring wells, support the timing of this gas dissipation.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Clogging issues associated with managed aquifer recharge methods","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"IAH Commission on Managing Aquifer Recharge","publisherLocation":"Australia","isbn":"9780646908526","usgsCitation":"Heilweil, V.M., and Marston, T., 2013, Evaluation of potential gas clogging associated with managed aquifer recharge from a spreading basin, southwestern Utah, U.S.A., chap. <i>of</i> Clogging issues associated with managed aquifer recharge methods, p. 84-94.","productDescription":"11 p.","startPage":"84","endPage":"94","numberOfPages":"11","ipdsId":"IP-046038","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":278967,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278966,"type":{"id":15,"text":"Index Page"},"url":"https://recharge.iah.org/recharge/clogging.htm"}],"country":"United States","state":"Utah","otherGeospatial":"Sand Hollow Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.39374,37.101658 ], [ -113.39374,37.127394 ], [ -113.35936,37.127394 ], [ -113.35936,37.101658 ], [ -113.39374,37.101658 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527e586ae4b02d2057dd95db","contributors":{"authors":[{"text":"Heilweil, Victor M. heilweil@usgs.gov","contributorId":837,"corporation":false,"usgs":true,"family":"Heilweil","given":"Victor","email":"heilweil@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marston, Thomas","contributorId":61734,"corporation":false,"usgs":true,"family":"Marston","given":"Thomas","affiliations":[],"preferred":false,"id":481652,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045854,"text":"70045854 - 2013 - Prescribed-fire effects on an aquatic community of a southwest montane grassland system","interactions":[],"lastModifiedDate":"2013-11-12T10:55:27","indexId":"70045854","displayToPublicDate":"2013-10-01T10:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Prescribed-fire effects on an aquatic community of a southwest montane grassland system","docAbstract":"The use of prescription fire has long been recognized as a reliable management tool to suppress vegetative succession processes and to reduce fuel loading to prevent catastrophic wildfires, but very little attention has been paid to the effects on aquatic systems. A late-fall prescribed burn was implemented to characterize effects on an aquatic community within a montane grassland system in north-central New Mexico. The fire treatment was consistent with protocols of a managed burn except that the fire was allowed to burn through the riparian area to the treatment stream to replicate natural fire behavior. In addition to summer and fall preburn assessment of the treatment and reference stream, we characterized immediate postfire effects (within a week for macroinvertebrates and within 6 months for fish) and seasonal effects over a 2-year period. Responses within the treatment stream were compared with an unburned reference stream adjacent to the prescription burn. During the burn, the diel range in air temperature increased by 5°C while diel range in water temperature did not change. Carbon–nitrogen ratios did not differ between treatment and reference streams, indicating the contribution of ash from the surrounding grassland was negligible. Although total taxa and species richness of aquatic macroinvertebrates were not altered, qualitative indices revealed departure from preburn condition due to loss of sensitive taxa (mayflies [order Ephemeroptera] and stoneflies [order Plecoptera]) and an increase in tolerant taxa (midges [order Chironomidae]) following the burn. Within 1 year of the burn, these attributes returned to preburn conditions. The density and recruitment of adult Brown Trout Salmo trutta did not differ between pre- and postburn collections, nor did fish condition differ. Fire is rarely truly replicated within a given study. Although our study represents one replication, the results will inform managers about the importance in timing (seasonality) of prescription burn and anticipated effects on aquatic communities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2013.824934","usgsCitation":"Caldwell, C.A., Jacobi, G.Z., Anderson, M.C., Parmenter, R.R., McGann, J., Gould, W., DuBey, R., and Jacobi, M.D., 2013, Prescribed-fire effects on an aquatic community of a southwest montane grassland system: North American Journal of Fisheries Management, v. 33, no. 5, p. 1049-1062, https://doi.org/10.1080/02755947.2013.824934.","productDescription":"14 p.","startPage":"1049","endPage":"1062","numberOfPages":"14","ipdsId":"IP-040830","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":279004,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2013.824934"},{"id":279006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Valles Caldera National Preserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.622314,35.827 ], [ -106.622314,36.009395 ], [ -106.398983,36.009395 ], [ -106.398983,35.827 ], [ -106.622314,35.827 ] ] ] } } ] }","volume":"33","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-10-03","publicationStatus":"PW","scienceBaseUri":"52835c24e4b047efbbb4ae62","contributors":{"authors":[{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":478428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobi, Gerald Z.","contributorId":86837,"corporation":false,"usgs":true,"family":"Jacobi","given":"Gerald","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":478434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Michael C.","contributorId":38887,"corporation":false,"usgs":true,"family":"Anderson","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":478430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parmenter, Robert R.","contributorId":88643,"corporation":false,"usgs":true,"family":"Parmenter","given":"Robert","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":478435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGann, Jeanine","contributorId":76637,"corporation":false,"usgs":true,"family":"McGann","given":"Jeanine","email":"","affiliations":[],"preferred":false,"id":478433,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":478432,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DuBey, Robert","contributorId":60113,"corporation":false,"usgs":true,"family":"DuBey","given":"Robert","email":"","affiliations":[],"preferred":false,"id":478431,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jacobi, M. Donna","contributorId":6365,"corporation":false,"usgs":true,"family":"Jacobi","given":"M.","email":"","middleInitial":"Donna","affiliations":[],"preferred":false,"id":478429,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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