{"pageNumber":"280","pageRowStart":"6975","pageSize":"25","recordCount":68835,"records":[{"id":70204608,"text":"sir20195076 - 2019 - Delineation of spatial extent, depth, thickness, and potential volume of aquifers used for domestic and public water-supply in the Central Valley, California","interactions":[],"lastModifiedDate":"2026-04-13T22:40:02.211186","indexId":"sir20195076","displayToPublicDate":"2019-09-05T10:24:35","publicationYear":"2019","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":"2019-5076","displayTitle":"Delineation of Spatial Extent, Depth, Thickness, and Potential Volume of Aquifers Used for Domestic and Public Water-Supply in the Central Valley, California","title":"Delineation of spatial extent, depth, thickness, and potential volume of aquifers used for domestic and public water-supply in the Central Valley, California","docAbstract":"<div>Identification of the groundwater resources used for drinking-water supplies is essential for the design of strategies to manage those resources. In this study, the spatial extent, depths, thicknesses, and volumes of groundwater aquifers used for domestic and public drinking-water supply were estimated from locations and well-construction data from 11,725 domestic-supply wells and 2,376 public-supply wells in the Central Valley, California. The data were compiled as part of the U.S. Geological Survey National Water Quality Assessment Project and California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment Program Priority Basin Project. The spatial distributions of the depth to top and bottom of well screens were interpolated using Empirical Bayesian Kriging across buffer areas surrounding domestic- and public-supply wells. These surfaces provide a measure of the likely maximum horizontal and vertical extent of the aquifer volume accessed for drinking water in the Central Valley during the past century. Well depth generally increased from north to south, and over time from 1905 to 2010. Well-construction depths were generally more consistent in the Sacramento Valley than in the San Joaquin Valley. The total potential aquifer volume accessed for public supply was calculated to be greater than domestic-supply access, even though the estimated spatial extent of domestic-supply wells was 1.5 times larger than the spatial extent of public-supply wells. Public-supply wells commonly have screen lengths greater than 51 meters, whereas domestic-supply wells typically have shorter screen lengths (overall median of 6 meters). Consequently, the accessed thickness and volume of the aquifer is on average 1.8 and 1.4 times greater for public-supply wells than domestic-supply wells, respectively. Results are presented as maps of areal extent, depth, and thickness of zones in the Central Valley aquifer system used for domestic and public drinking-water supplies.</div>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195076","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Voss, S.A., Jurgens, B.C., Fram, M.S., and Bennett, G.L., V, 2019, Delineation of spatial extent, depth, thickness, and potential volume of aquifers used for domestic and public water-supply in the Central Valley, California: U.S. Geological Survey Scientific Investigations Report 2019–5076, 34 p., https://doi.org/10.3133/sir20195076.","productDescription":"Report: vi, 34 p.; Data Release","numberOfPages":"34","onlineOnly":"Y","ipdsId":"IP-102126","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":367144,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5076/coverthb.jpg"},{"id":367222,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76Q1V9G","linkHelpText":"Spatial Point Data Sets and Interpolated Surfaces of Well Construction Characteristics for Domestic and Public Supply Wells in the Central Valley, California, USA"},{"id":367145,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5076/sir20195076.pdf","text":"Report","size":"16.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5076"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n  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Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Study Area Description</li><li>Methods</li><li>Results</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-09-05","noUsgsAuthors":false,"publicationDate":"2019-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Voss, Stefan 0000-0003-1214-9358","orcid":"https://orcid.org/0000-0003-1214-9358","contributorId":217888,"corporation":false,"usgs":true,"family":"Voss","given":"Stefan","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X bjurgens@usgs.gov","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":127842,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","email":"bjurgens@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767755,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, George L. V 0000-0002-6239-1604 georbenn@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-1604","contributorId":1373,"corporation":false,"usgs":true,"family":"Bennett","given":"George","suffix":"V","email":"georbenn@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767753,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204915,"text":"sir20195090 - 2019 - Tritium as an indicator of modern, mixed, and premodern groundwater age","interactions":[],"lastModifiedDate":"2019-09-05T09:14:28","indexId":"sir20195090","displayToPublicDate":"2019-09-05T10:00:00","publicationYear":"2019","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":"2019-5090","title":"Tritium as an indicator of modern, mixed, and premodern groundwater age","docAbstract":"<p>Categorical classification of groundwater age is often used for the assessment and understanding of groundwater resources. This report presents a tritium-based age classification system for the conterminous United States based on tritium (<sup>3</sup>H) thresholds that vary in space and time: modern (recharged in 1953 or later), if the measured value is larger than an upper threshold; premodern (recharged prior to 1953) if the measured value is smaller than a lower threshold; or mixed if the measured value is between the two thresholds. Inclusion of spatially varying thresholds, rather than a single threshold, accounts for the observed systematic variation in <sup>3</sup>H deposition across the United States. Inclusion of time-varying thresholds, rather than a single threshold, accounts for the date of sampling given the radioactive decay of <sup>3</sup>H.</p><p>The efficacy of the tritium-based age classification system was evaluated at national and regional scales. The system was evaluated at a national scale by classifying samples from 1,788 public-supply wells distributed across 19 principal aquifers and comparing those results with expectations based on hydrogeologic principles. The regional-scale data are from five paired networks of shallow and deep wells (287 wells). As expected, modern groundwater is more prevalent in shallow wells than in deeper wells, in fractured-rock and carbonate aquifers as compared to clastic aquifers, in unconfined areas as compared to confined areas, and in humid climates as compared to arid climates. The results from a tritium-based age classification system compared favorably with the results of 14 previous studies of groundwater ages that used different age tracers and analytical methods. The wells and samples from the Cambrian-Ordovician aquifer that had been analyzed using a more complex multi-tracer analysis were also analyzed using the tritium-based age classification system, and there was a close match between the two methods. The results from these various studies suggest that the tritium-based age classification system may be informative as a screening tool prior to selecting more expensive and complex age-dating tracers and methods, or to provide an explanatory variable for other water-quality data where more complex methods or tracers are not available.</p><p>This work improves on previous groundwater age classification using <sup>3</sup>H by developing methods that (1) determine&nbsp;<sup>3</sup>H thresholds for groundwater recharged in 1953 or later that minimize the misclassification of modern samples as mixed; (2) determine a pre-1953 threshold to estimate premodern background concentrations; and (3) add a mixed category to classify samples that are clearly neither entirely modern nor entirely premodern. As with any tritium-based approach, it can fail when the <sup>3</sup>H record in precipitation does not accurately reflect the record of <sup>3</sup>H in recharge</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20195090","usgsCitation":"Lindsey, B.D., Jurgens, B.C., and Belitz, K., 2019, Tritium as an indicator of modern, mixed, and premodern groundwater age: U.S. Geological Survey Scientific Investigations Report 2019–5090, 18 p., https://doi.org/10.3133/sir20195090.","productDescription":"vii, 18 p.","onlineOnly":"Y","ipdsId":"IP-097386","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":437353,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DU94RV","text":"USGS data release","linkHelpText":"Data for Tritium as an Indicator of Modern, Mixed and Premodern Groundwater Age"},{"id":367188,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5090/coverthb.jpg"},{"id":367189,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5090/sir20195090.pdf","text":"Report","size":"6.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5090"}],"country":"United States","otherGeospatial":"Conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n   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           ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","contact":"<p>Chief Scientist, <a href=\"https://water.usgs.gov/nawqa/\" data-mce-href=\"https://water.usgs.gov/nawqa/\">NAWQA</a><br>U.S. Geological Survey<br>2201 Sunrise Valley Drive, MS 413<br>Reston, VA 20192-0002</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results and Discussion</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2019-09-04","noUsgsAuthors":false,"publicationDate":"2019-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":175346,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce","email":"blindsey@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":768999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X bjurgens@usgs.gov","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":127842,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","email":"bjurgens@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":770172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":201889,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769001,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204783,"text":"ofr20191091 - 2019 - Evaluation of groundwater-flow models for estimating drawdown from proposed groundwater development in Tule Desert, Nevada","interactions":[],"lastModifiedDate":"2019-09-17T18:18:38","indexId":"ofr20191091","displayToPublicDate":"2019-09-05T09:37:47","publicationYear":"2019","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":"2019-1091","displayTitle":"Evaluation of Groundwater-Flow Models for Estimating Drawdown from Proposed Groundwater Development in Tule Desert, Nevada","title":"Evaluation of groundwater-flow models for estimating drawdown from proposed groundwater development in Tule Desert, Nevada","docAbstract":"<p>At the request of the Bureau of Land Management (BLM), the U.S. Geological Survey (USGS) is releasing with this open-file report (OFR) a previously unpublished review and comparison of two numerical models for Tule Desert, Nevada. The original review was performed in spring 2013, and only minor editorial revisions were made in the current (2019) OFR for clarity and to reformat the original interagency correspondence to the USGS OFR template. No revisions have been made to the technical content of the original review for this OFR release. Report content presented in the purpose and scope statement, and all subsequent sections of the OFR, are original content submitted to BLM in May 2013. Model review and comparisons described in the following paragraphs are based on, in part, results of a long-term (more than 2 years) aquifer test mandated by Nevada State Engineer Order 1169. Additional information on Order 1169 and associated aquifer test results can be found at the State of Nevada Division of Water Resources website (State of Nevada, 2019).<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191091","collaboration":"By request of the Bureau of Land Management, Nevada State Office","usgsCitation":"Halford, K., 2019, Evaluation of groundwater-flow models for estimating drawdown from proposed groundwater development in Tule Desert, Nevada: U.S. Geological Survey Open-File Report 2019–1091, 21 p., https://doi.org/10.3133/ofr20191091.","productDescription":"vi, 21 p.","numberOfPages":"21","onlineOnly":"Y","ipdsId":"IP-108521","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":367140,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1091/coverthb.jpg"},{"id":367141,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1091/ofr20191091.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1091"}],"country":"United States","state":"Nevada","otherGeospatial":"Tule Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.09963989257812,\n              36.43454191900892\n            ],\n            [\n              -114.05181884765625,\n              36.43454191900892\n            ],\n            [\n              -114.05181884765625,\n              37.27186719156333\n            ],\n            [\n              -115.09963989257812,\n              37.27186719156333\n            ],\n            [\n              -115.09963989257812,\n              36.43454191900892\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"https://www.usgs.gov/centers/nv-water\" href=\"https://www.usgs.gov/centers/nv-water\" target=\"_blank\" rel=\"noopener\">Nevada Water Science Center</a><br><a data-mce-href=\"https://www.usgs.gov/\" href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>2730 N. Deer Run Road<br>Carson City, Nevada 95819</p>","tableOfContents":"<ul><li>Introduction</li><li>Purpose and Scope</li><li>Aquifer-Test Results and Transmissivity Distributions</li><li>Conceptual Model of Muddy River Springs and Responses to Pumping Well MX-5</li><li>Simulated Drawdowns in Tule Desert</li><li>References Cited</li><li>Appendix</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-09-05","noUsgsAuthors":false,"publicationDate":"2019-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768469,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70206672,"text":"70206672 - 2019 - Rapid adoption of nestboxes by Prothonotary Warblers (Protonotaria citrea) in mesic deciduous forest","interactions":[],"lastModifiedDate":"2019-12-03T10:04:46","indexId":"70206672","displayToPublicDate":"2019-09-04T15:40:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rapid adoption of nestboxes by Prothonotary Warblers (<i>Protonotaria citrea</i>) in mesic deciduous forest","title":"Rapid adoption of nestboxes by Prothonotary Warblers (Protonotaria citrea) in mesic deciduous forest","docAbstract":"<p><span>Breeding territory selection in Prothonotary Warblers (</span><i>Protonotaria citrea</i><span>&nbsp;(Boddaert, 1783)) is thought to hinge on standing water, with a strong preference for low-lying areas prone to seasonal flooding. However, we have observed this species nesting in much drier areas than previously reported. We recently initiated a study of the Carolina Wren (</span><i>Thryothorus ludovicianus</i><span>&nbsp;(Latham, 1790)) using wooden nest boxes, and nearly 60% of all nests produced in these boxes during the initial study year were produced by Prothonotary Warblers, despite this species being absent from our field site during the year preceding nest-box availability. Most nests were produced in dense, closed-canopy forest with a thick shrub layer &gt;100 m from any water body. There was no difference in the mean distance from water between nests of the Prothonotary Warbler and those of the Carolina Wren, a habitat generalist that does not nest over water. We then observed a 60% increase in the number of Prothonotary Warbler nests the following year, along with significant increases in breeding productivity. Although they nested on sites that they are not thought to prefer, our observations suggest that Prothonotary Warblers may nest in drier areas than usual if appropriate nest cavities are provided.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjz-2019-0059","usgsCitation":"Mueller, A.J., Twedt, D.J., and Bowers, E., 2019, Rapid adoption of nestboxes by Prothonotary Warblers (Protonotaria citrea) in mesic deciduous forest: Canadian Journal of Zoology, v. 97, no. 12, p. 1109-1115, https://doi.org/10.1139/cjz-2019-0059.","productDescription":"7 p.","startPage":"1109","endPage":"1115","ipdsId":"IP-091439","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":500998,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/97742","text":"External Repository"},{"id":369256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"12","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mueller, Alexander J","contributorId":220624,"corporation":false,"usgs":false,"family":"Mueller","given":"Alexander","email":"","middleInitial":"J","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":775333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twedt, Daniel J. 0000-0003-1223-5045 dtwedt@usgs.gov","orcid":"https://orcid.org/0000-0003-1223-5045","contributorId":398,"corporation":false,"usgs":true,"family":"Twedt","given":"Daniel","email":"dtwedt@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":775332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowers, E Keith","contributorId":220625,"corporation":false,"usgs":false,"family":"Bowers","given":"E Keith","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":775334,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207967,"text":"70207967 - 2019 - A river is born: Highlights of the geologic evolution of the Colorado River extensional corridor and its river: A field guide honoring the life and legacy of Warren Hamilton ","interactions":[],"lastModifiedDate":"2020-01-21T15:11:41","indexId":"70207967","displayToPublicDate":"2019-09-04T15:06:02","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"A river is born: Highlights of the geologic evolution of the Colorado River extensional corridor and its river: A field guide honoring the life and legacy of Warren Hamilton ","docAbstract":"<div class=\"category-section clearfix content-section \"><p>The Colorado River extensional corridor, which stretched by a factor of 2 in the Miocene, left a series of lowland basins and intervening bedrock ranges that, at the dawn of the Pliocene, were flooded by Colorado River water newly diverted from the Colorado Plateau through Grand Canyon. This water and subsequent sediment gave birth, through a series of overflowing lakes, to an integrated Colorado River flowing to the newly opened Gulf of California. Topock Gorge, which the river now follows between the Chemehuevi and Mohave Mountains, is a major focus of this field guide, as it very nicely exposes structural, stratigraphic, and magmatic aspects of the Miocene extensional corridor, a core complex, and detachment faults as well as a pre-Cenozoic batholith. Topock Gorge also is the inferred site of a paleodivide between early Pliocene basins of newly arrived Colorado River water. Overspilling of its upstream lake breached the divide and led the river southward. The Bouse Formation in this and other basins records the pre–river integration water bodies. Younger riverlaid deposits including the Bullhead Alluvium (Pliocene) and the Chemehuevi Formation (Pleistocene) record subsequent evolution of the Colorado River through a succession of aggradational and re-incision stages. Their stratigraphic record provides evidence of local basin deepening after river inception, but little deformation on a regional scale of the river valley in the last 4 m.y. except in the Lake Mead area. There, faults interrupt both the paleoriver grade and incision rates, and are interpreted to record 100’s of m of true uplift of the Colorado Plateau. Warren Hamilton’s insightful work beginning in the 1950s helped set the stage for interpretation of Mesozoic orogeny and Cenozoic extension in this region, as well as the record of the Bouse Formation.</p></div><p><br data-mce-bogus=\"1\"></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic excursions in Southwestern North America","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2019.0055(03)","usgsCitation":"Howard, K.A., House, K., John, B.E., Crow, R.S., and Pearthree, P.A., 2019, A river is born: Highlights of the geologic evolution of the Colorado River extensional corridor and its river: A field guide honoring the life and legacy of Warren Hamilton , chap. <i>of</i> Geologic excursions in Southwestern North America, p. 61-113, https://doi.org/10.1130/2019.0055(03).","productDescription":"53 p.","startPage":"61","endPage":"113","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":371421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.6640625,\n              33.17434155100208\n            ],\n            [\n              -113.2470703125,\n              33.17434155100208\n            ],\n            [\n              -113.2470703125,\n              36.421282443649496\n            ],\n            [\n              -115.6640625,\n              36.421282443649496\n            ],\n            [\n              -115.6640625,\n              33.17434155100208\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Howard, Keith A. 0000-0002-6462-2947 khoward@usgs.gov","orcid":"https://orcid.org/0000-0002-6462-2947","contributorId":3439,"corporation":false,"usgs":true,"family":"Howard","given":"Keith","email":"khoward@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":779969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":779970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"John, Barbara E 0000-0002-7518-8736","orcid":"https://orcid.org/0000-0002-7518-8736","contributorId":207192,"corporation":false,"usgs":false,"family":"John","given":"Barbara","email":"","middleInitial":"E","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":779971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":779972,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearthree, Philip A 0000-0001-7676-8145","orcid":"https://orcid.org/0000-0001-7676-8145","contributorId":220713,"corporation":false,"usgs":false,"family":"Pearthree","given":"Philip","email":"","middleInitial":"A","affiliations":[{"id":34160,"text":"Arizona Geological Survey","active":true,"usgs":false}],"preferred":false,"id":779973,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204705,"text":"sir20195081 - 2019 - Streamflow gains and losses in New Fork and Green Rivers, upstream from Fontenelle Reservoir, Wyoming, October 2015","interactions":[],"lastModifiedDate":"2019-09-04T15:35:34","indexId":"sir20195081","displayToPublicDate":"2019-09-04T13:00:00","publicationYear":"2019","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":"2019-5081","displayTitle":"Streamflow Gains and Losses in New Fork and Green Rivers, Upstream from Fontenelle Reservoir, Wyoming, October 2015","title":"Streamflow gains and losses in New Fork and Green Rivers, upstream from Fontenelle Reservoir, Wyoming, October 2015","docAbstract":"<p>The Wyoming Landscape Conservation Initiative is a program created to implement a long-term, science-based program of assessing natural resources while facilitating responsible energy and other development and does studies in much of southwestern Wyoming, including all or parts of Lincoln, Sublette, Fremont, Sweetwater, and Carbon Counties. A synoptic study was completed by the U.S. Geological Survey as part of ongoing contributions to the Wyoming Landscape Conservation Initiative to better understand the streamflow dynamics in the New Fork and Green Rivers in an area with historical, current, and future energy development.</p><p>Streamflow measurements were collected October 19–22, 2015, at 19 sites on the New Fork and Green Rivers in Wyoming to determine changes in streamflow and, where applicable, describe the inflow and outflow of groundwater. Streamflow in the New Fork River generally increased from 50 cubic feet per second (ft<sup>3</sup>/s) at the most upstream site near Pinedale, Wyoming, to 350 ft<sup>3</sup>/s at the mouth of the river. Streamflow in the Green River generally increased downstream from 250 ft<sup>3</sup>/s at the most upstream site at Warren Bridge to around 800 ft<sup>3</sup>/s at the most downstream site near La Barge, Wyo., upstream from Fontenelle Reservoir.</p><p>Estimated streamflow gains and losses were calculated for five reaches on the New Fork River. Four of the five reaches on the New Fork River had a change greater than the associated measurement error and were gaining reaches; the reach with the largest gain was the most upstream reach. One reach, the most downstream reach, had a calculated change in streamflow less than the associated measurement error.</p><p>Estimated streamflow gains and losses were calculated for four reaches on the Green River. One reach was determined to be a gaining reach, one was a losing reach, and two reaches had changes less than the associated measurement error.</p><p>Comparing the annual streamflow hydrographs for three long-term streamgages likely showed the effects of applying irrigation water to the upstream areas of land draining to the Green and New Fork Rivers. Streamflows in the&nbsp;New Fork River near Big Piney and the Green River near La Barge, Wyo., are sustained later in the season compared to the upstream site of Green River at Warren Bridge, which has few diversions and minimal irrigation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20195081","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Eddy-Miller, C.A., Davidson, S.L., Wheeler, J.D., Davis, S.J., Stephens, J.B., and Campbell, J.C., 2019, Streamflow gains and losses in New Fork and Green Rivers, upstream from Fontenelle Reservoir, Wyoming, October 2015: U.S. Geological Survey Scientific Investigations Report 2019–5081, 15 p., https://doi.org/10.3133/sir20195081.","productDescription":"vi, 15 p.","onlineOnly":"Y","ipdsId":"IP-103089","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":367157,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5081/sir20195081.pdf","text":"Report","size":"2.20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5081"},{"id":367156,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5081/coverthb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Fontenelle Reservoir, Green River, New Fork River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.40985107421875,\n              41.99113954535575\n            ],\n            [\n              -109.64492797851562,\n              41.99113954535575\n            ],\n            [\n              -109.64492797851562,\n              42.72280375732727\n            ],\n            [\n              -110.40985107421875,\n              42.72280375732727\n            ],\n            [\n              -110.40985107421875,\n              41.99113954535575\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://www.usgs.gov/centers/wy-mt-water/\" data-mce-href=\"http://www.usgs.gov/centers/wy-mt-water/\">Wyoming-Montana Water Science Center </a><br>U.S. Geological Survey<br>3162 Bozeman Avenue<br>Helena, MT 59601</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Streamflow Measurements in the New Fork and Green Rivers, Wyoming, October 2015</li><li>Estimated Streamflow Gains and Losses in Selected River Reaches of the New Fork and Green Rivers</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-09-04","noUsgsAuthors":false,"publicationDate":"2019-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Eddy-Miller, Cheryl A. 0000-0002-4082-750X cemiller@usgs.gov","orcid":"https://orcid.org/0000-0002-4082-750X","contributorId":1824,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl A.","email":"cemiller@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":false,"id":768138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davidson, Seth L. 0000-0002-9548-468X sdavids@usgs.gov","orcid":"https://orcid.org/0000-0002-9548-468X","contributorId":3626,"corporation":false,"usgs":true,"family":"Davidson","given":"Seth","email":"sdavids@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":770069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wheeler, Jerrod D. 0000-0002-0533-8700 jwheele@usgs.gov","orcid":"https://orcid.org/0000-0002-0533-8700","contributorId":1893,"corporation":false,"usgs":true,"family":"Wheeler","given":"Jerrod","email":"jwheele@usgs.gov","middleInitial":"D.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":770080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Sarah J. 0000-0003-1281-1014","orcid":"https://orcid.org/0000-0003-1281-1014","contributorId":218043,"corporation":false,"usgs":true,"family":"Davis","given":"Sarah","email":"","middleInitial":"J.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":770081,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephens, J. Brooks 0000-0002-8472-8204","orcid":"https://orcid.org/0000-0002-8472-8204","contributorId":218044,"corporation":false,"usgs":true,"family":"Stephens","given":"J.","email":"","middleInitial":"Brooks","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":770082,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Campbell, James 0000-0002-2760-3149","orcid":"https://orcid.org/0000-0002-2760-3149","contributorId":218045,"corporation":false,"usgs":true,"family":"Campbell","given":"James","email":"","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":770092,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70207459,"text":"70207459 - 2019 - Benthic algal (Periphyton) growth rates in response to nitrogen and phosphorus: Parameter estimation for water quality models","interactions":[],"lastModifiedDate":"2019-12-19T16:50:18","indexId":"70207459","displayToPublicDate":"2019-09-03T16:46:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Benthic algal (Periphyton) growth rates in response to nitrogen and phosphorus: Parameter estimation for water quality models","docAbstract":"Nitrogen (N) and phosphorus (P) are important pollutants that can stimulate nuisance blooms of algae. Water-quality models (e.g., WASP, CE-QUAL-R1, CE-QUAL-ICM, QUAL2k) are valuable and widely used management tools for algal accrual because of excess nutrients in the presence of other limiting factors. These models utilize the Monod and Droop equations to associate algal growth rate with dissolved nutrient concentration and intra-cellular nutrient concentration. Having accurate parameter values is essential to model performance; however, published values for model parameterization are limited, particularly for benthic (periphyton) algae. We conducted a 10-day mesocosm experiment and measured diatom-dominated periphyton biomass accrual through time as chlorophyll a (chl a) and ash-free dry mass (AFDM) in response to additions of N (range 5-12,390 µg NO3-N/L) and P (range 0.89-59.51 µg SRP/L). Resulting half saturation coefficients and growth rates are similar to other published values, but minimum intra-cellular nutrient concentration (quota, Qmin) are higher than those previously reported. Saturation concentration for N ranged from 150 to 2450 µg NO3-N/L based on chl a and from 8.5 to 60 µg NO3-N/L when based on AFDM. Similarly, the saturation concentration for P ranged from 12 to 29 µg-P/L based on chl a, and from 2.5 to 6.1 µg-P/L based on AFDM. These saturation concentrations provide an upper limit for streams where diatom growth can be expected to respond to nutrient levels and a benchmark for reducing nutrient concentrations to a point where benthic algal growth will be limited.","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12797","usgsCitation":"Schmidt, T., Konrad, C., Miller, J.L., Whitlock, S.D., and Stricker, C.A., 2019, Benthic algal (Periphyton) growth rates in response to nitrogen and phosphorus: Parameter estimation for water quality models: Journal of the American Water Resources Association, v. 55, no. 6, p. 1479-1491, https://doi.org/10.1111/1752-1688.12797.","productDescription":"13 p.","startPage":"1479","endPage":"1491","ipdsId":"IP-102549","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":459923,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7029675","text":"External Repository"},{"id":370525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":778127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Konrad, Christopher 0000-0002-7354-547X","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":217886,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":778128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Janet L.","contributorId":218842,"corporation":false,"usgs":false,"family":"Miller","given":"Janet","email":"","middleInitial":"L.","affiliations":[{"id":39922,"text":"No affilcation","active":true,"usgs":false}],"preferred":false,"id":778129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitlock, Stephen D.","contributorId":218841,"corporation":false,"usgs":false,"family":"Whitlock","given":"Stephen","email":"","middleInitial":"D.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":778130,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":778131,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204416,"text":"sir20195070 - 2019 - Stratigraphic analysis of Corte Madera Creek flood control channel deposits","interactions":[],"lastModifiedDate":"2019-09-03T16:51:36","indexId":"sir20195070","displayToPublicDate":"2019-09-03T14:15:55","publicationYear":"2019","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":"2019-5070","displayTitle":"Stratigraphic Analysis of Corte Madera Creek Flood Control Channel Deposits","title":"Stratigraphic analysis of Corte Madera Creek flood control channel deposits","docAbstract":"<p>Sedimentation in a channel can reduce flood conveyance capability and potentially place nearby property and life at risk from flooding. In 1998, Marin County Public Works dredged the concrete-lined segment of Corte Madera Creek, which drains a hilly and largely urbanized watershed that terminates in San Francisco Bay, California. From then through 2015, approximately 4,100 cubic meters of sand and gravel infilled the concrete-lined segment. Determining when and under what conditions this material was deposited informs dredging operations for the Corte Madera Creek Flood Control Project and increases understanding of sediment delivery timing and mechanisms from this and other San Francisco Bay tributaries.</p><p>Two hypothesized scenarios were investigated: (1) complete flushing during high flows and re-deposition of channel fill afterward and (2) more steady, gradual channel infilling. Stratigraphic analysis of eight sediment cores collected from the flood-control channel deposits in August 2017 was used to identify the most likely scenario. In addition, sediment elevation profiles, grain-size data, and a one-dimensional hydrodynamic model were used to assess the potential for longitudinal-channel scour and deposition following the wet winter of water year 2017 in the intertidal reach of the concrete channel in Corte Madera Creek.</p><p>Results indicated the channel is undergoing gradual infilling. Storm flows of water year 2017 did not completely scour the concrete channel fill. Sediment cores, stratigraphic analysis, and sediment elevation profiles indicated 0.23 meter of scour at the downstream end of the concrete-lined section and that roughly 0.5 meter of channel fill remained in the channel. The hydrodynamic model demonstrated that sediment deposition in the concrete channel is expected to start downstream from the point where the channel bed reaches mean lower low-water level. High flows can carry most of the sediment through this segment of channel, depositing the bed-material load downstream from the transition to a wide channel, where velocity and bed shear stress decrease abruptly.</p><p>Although the storm flows of 2017 did not completely scour the channel fill, subsequent material deposited in the channel could be transported downstream from the concrete channel if the sediment elevation profile is in equilibrium with present (2019) mean sea level. A calibrated, coupled hydrodynamic-sediment transport model could be used to test the present equilibrium between sediment elevation profiles and mean sea level, such that additional sediment build-up in the concrete channel is remobilized during subsequent wet-season flows and deposited downstream from the concrete-lined segment.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195070","collaboration":"Prepared in cooperation with Marin County Flood Control District","usgsCitation":"Livsey, D., Work, P., and Downing-Kunz, M., 2019, Stratigraphic analysis of Corte Madera Creek flood control channel deposits: U.S. Geological Survey Scientific Investigation Report 2019–5070, 28 p., https://doi.org/10.3133/sir20195070.","productDescription":"vi, 28 p.","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-102889","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":367137,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5070/sir20195070.pdf","text":"Report","size":"7.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5070"},{"id":367136,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5070/coverthb.jpg"}],"country":"United States","state":"California","county":"Marin County","otherGeospatial":"Corte Madera Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.55360603332518,\n              37.95983152006781\n            ],\n            [\n              -122.55401372909544,\n              37.95940856550367\n            ],\n            [\n              -122.55317687988281,\n              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data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Field Methods</li><li>Interpretation of Sediment Cores</li><li>Sediment Erosion and Deposition</li><li>One-Dimensional Simulation of Channel Flow and Bed Shear Stress</li><li>Conclusions</li><li>References Cited</li><li>Appendix</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-09-03","noUsgsAuthors":false,"publicationDate":"2019-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Livsey, Daniel N. 0000-0002-2028-6128 dlivsey@usgs.gov","orcid":"https://orcid.org/0000-0002-2028-6128","contributorId":181870,"corporation":false,"usgs":true,"family":"Livsey","given":"Daniel","email":"dlivsey@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Work, Paul A. 0000-0002-2815-8040 pwork@usgs.gov","orcid":"https://orcid.org/0000-0002-2815-8040","contributorId":168561,"corporation":false,"usgs":true,"family":"Work","given":"Paul","email":"pwork@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Downing-Kunz, Maureen A. 0000-0002-4879-0318 mdowning-kunz@usgs.gov","orcid":"https://orcid.org/0000-0002-4879-0318","contributorId":3690,"corporation":false,"usgs":true,"family":"Downing-Kunz","given":"Maureen","email":"mdowning-kunz@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766794,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207028,"text":"70207028 - 2019 - Phosphorus and nitrogen transport in the binational Great Lakes Basin estimated using SPARROW watershed models","interactions":[],"lastModifiedDate":"2020-01-08T14:10:14","indexId":"70207028","displayToPublicDate":"2019-09-03T13:55:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Phosphorus and nitrogen transport in the binational Great Lakes Basin estimated using SPARROW watershed models","docAbstract":"<p><span>Eutrophication problems in the Great Lakes are caused by excessive nutrient inputs (primarily phosphorus, P, and nitrogen, N) from various sources throughout its basin. In developing protection and restoration plans, it is important to know where and from what sources the nutrients originate. As part of a binational effort, Midcontinent SPARROW (SPAtially Referenced Regression On Watershed attributes) models were developed and used to estimate P and N loading from throughout the entire basin based on nutrient inputs similar to 2002; previous SPARROW models only estimated U.S. contributions. The new models have a higher resolution (~2‐km</span><sup>2</sup><span>&nbsp;catchments) enabling improved descriptions of where nutrients originate and the sources at various spatial scales. The models were developed using harmonized geospatial datasets describing the stream network, nutrient sources, and environmental characteristics affecting P and N delivery. The models were calibrated using loads from sites estimated with ratio estimator and regression techniques and additional statistical approaches to reduce spatial correlation in the residuals and have all monitoring sites equally influence model development. SPARROW results, along with interlake transfers and direct atmospheric inputs, were used to quantify the entire P and N input to each lake and describe the importance of each nutrient source. Model results can be used to compare loading and yields from various tributaries and jurisdictions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12792","usgsCitation":"Robertson, D.M., Saad, D., Benoy, G.A., Vouk, I., Schwarz, G.E., and Laitta, M.T., 2019, Phosphorus and nitrogen transport in the binational Great Lakes Basin estimated using SPARROW watershed models: Journal of the American Water Resources Association, v. 55, no. 6, p. 1401-1424, https://doi.org/10.1111/1752-1688.12792.","productDescription":"24 p.","startPage":"1401","endPage":"1424","ipdsId":"IP-099596","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":459925,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12792","text":"Publisher Index Page"},{"id":369886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.8125,\n              41.27780646738183\n            ],\n            [\n              -75.8056640625,\n              41.27780646738183\n            ],\n            [\n              -75.8056640625,\n              48.980216985374994\n            ],\n            [\n              -92.8125,\n              48.980216985374994\n            ],\n            [\n              -92.8125,\n              41.27780646738183\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"6","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":204668,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saad, David A. 0000-0001-6559-6181","orcid":"https://orcid.org/0000-0001-6559-6181","contributorId":217251,"corporation":false,"usgs":true,"family":"Saad","given":"David A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benoy, Glenn A. 0000-0001-6530-7220","orcid":"https://orcid.org/0000-0001-6530-7220","contributorId":172405,"corporation":false,"usgs":false,"family":"Benoy","given":"Glenn","email":"","middleInitial":"A.","affiliations":[{"id":13361,"text":"International Joint Commission, Washington DC","active":true,"usgs":false}],"preferred":false,"id":776561,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vouk, Ivana 0000-0002-9134-6933","orcid":"https://orcid.org/0000-0002-9134-6933","contributorId":211795,"corporation":false,"usgs":false,"family":"Vouk","given":"Ivana","email":"","affiliations":[{"id":38321,"text":"National Research Council Canada","active":true,"usgs":false}],"preferred":false,"id":776562,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":213621,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory","email":"gschwarz@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":776563,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Laitta, Michael T","contributorId":221001,"corporation":false,"usgs":false,"family":"Laitta","given":"Michael","email":"","middleInitial":"T","affiliations":[{"id":40305,"text":"International Joint Commission, U.S. Section","active":true,"usgs":false}],"preferred":false,"id":776564,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70205841,"text":"70205841 - 2019 - Evaluating the factors responsible for post-fire water quality response in forests of the western USA","interactions":[],"lastModifiedDate":"2019-10-28T10:32:13","indexId":"70205841","displayToPublicDate":"2019-09-03T07:34:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the factors responsible for post-fire water quality response in forests of the western USA","docAbstract":"Wildfires commonly increase nutrient, carbon, sediment, and metal inputs to streams yet the factors responsible for the type, magnitude and duration of water quality effects are poorly understood. Prior work by the current authors found increased nitrogen, phosphorus and cation exports were common the first five post-fire years from a synthesis of 159 wildfires across the western United States. In the current study, an analysis is undertaken to determine factors that best explain post-fire streamwater responses observed in those watersheds. Increased post-fire total nitrogen and phosphorus loading were proportional to the catchment extent of moderate and high burn severity. Post-fire dissolved metal concentrations increased in catchments with < 2% pre-fire soil organic matter. In contrast, in catchments with > 2% soil organic matter, post-fire dissolved metal concentrations decreased compared to pre-fire conditions. Where post-fire normalized difference vegetation index (NDVI), a remote sensing indicator of live green vegetation, was low, total metal concentrations increased by 25% on average and by > 100% in some cases.  When pre-fire soil field capacity exceeded 17%, there was a 750% median increase in total metals export to streams. Overall, the current analysis identified burn severity, post-fire vegetation cover, and several soil properties as the key variables explaining extended post-fire water quality response across a broad range of conditions found in the western US.","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF18191","usgsCitation":"Rust, A.J., Saxe, S., McCray, J.E., Rhoades, C.C., and Hogue, T.S., 2019, Evaluating the factors responsible for post-fire water quality response in forests of the western USA: International Journal of Wildland Fire, v. 28, no. 10, p. 769-784, https://doi.org/10.1071/WF18191.","productDescription":"16 p.","startPage":"769","endPage":"784","ipdsId":"IP-109789","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":368081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, New Mexico, Nevada, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-104.053249,41.001406],[-102.124972,41.002338],[-102.051292,40.749591],[-102.04192,37.035083],[-102.979613,36.998549],[-103.002247,36.911587],[-103.064423,32.000518],[-106.565142,32.000736],[-106.577244,31.810406],[-106.750547,31.783706],[-108.208394,31.783599],[-108.208573,31.333395],[-111.000643,31.332177],[-114.813613,32.494277],[-114.722746,32.713071],[-117.118868,32.534706],[-117.50565,33.334063],[-118.088896,33.729817],[-118.428407,33.774715],[-118.519514,34.027509],[-119.159554,34.119653],[-119.616862,34.420995],[-120.441975,34.451512],[-120.608355,34.556656],[-120.644311,35.139616],[-120.873046,35.225688],[-120.884757,35.430196],[-121.851967,36.277831],[-121.932508,36.559935],[-121.788278,36.803994],[-121.880167,36.950151],[-122.140578,36.97495],[-122.419113,37.24147],[-122.511983,37.77113],[-122.425942,37.810979],[-122.168449,37.504143],[-122.144396,37.581866],[-122.385908,37.908136],[-122.301804,38.105142],[-122.484411,38.11496],[-122.492474,37.82484],[-122.972378,38.020247],[-123.103706,38.415541],[-123.725367,38.917438],[-123.851714,39.832041],[-124.373599,40.392923],[-124.063076,41.439579],[-124.536073,42.814175],[-124.150267,43.91085],[-123.962887,45.280218],[-123.996766,46.20399],[-123.548194,46.248245],[-124.029924,46.308312],[-124.06842,46.601397],[-123.97083,46.47537],[-123.84621,46.716795],[-124.022413,46.708973],[-124.108078,46.836388],[-123.86018,46.948556],[-124.138035,46.970959],[-124.425195,47.738434],[-124.672427,47.964414],[-124.727022,48.371101],[-123.981032,48.164761],[-122.748911,48.117026],[-122.637425,47.889945],[-123.15598,47.355745],[-122.527593,47.905882],[-122.578211,47.254804],[-122.725738,47.33047],[-122.691771,47.141958],[-122.796646,47.341654],[-122.863732,47.270221],[-122.67813,47.103866],[-122.364168,47.335953],[-122.429841,47.658919],[-122.230046,47.970917],[-122.425572,48.232887],[-122.358375,48.056133],[-122.512031,48.133931],[-122.424102,48.334346],[-122.689121,48.476849],[-122.425271,48.599522],[-122.796887,48.975026],[-104.048736,48.999877],[-104.053249,41.001406]]],[[[-119.789798,34.05726],[-119.5667,34.053452],[-119.795938,33.962929],[-119.916216,34.058351],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.573522,32.969183],[-118.369984,32.839273],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.32446,33.348782],[-118.593969,33.467198],[-118.500212,33.449592]]],[[[-122.519535,48.288314],[-122.66921,48.240614],[-122.400628,48.036563],[-122.419274,47.912125],[-122.744612,48.20965],[-122.664928,48.374823],[-122.519535,48.288314]]],[[[-122.800217,48.60169],[-122.883759,48.418793],[-123.173061,48.579086],[-122.949116,48.693398],[-122.743049,48.661991],[-122.800217,48.60169]]]]},\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA  \"}}]}","volume":"28","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rust, Ashley J.","contributorId":219575,"corporation":false,"usgs":false,"family":"Rust","given":"Ashley","email":"","middleInitial":"J.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":772578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saxe, Samuel","contributorId":219574,"corporation":false,"usgs":true,"family":"Saxe","given":"Samuel","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":772577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCray, John E.","contributorId":169186,"corporation":false,"usgs":false,"family":"McCray","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":772579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rhoades, Charles C.","contributorId":219576,"corporation":false,"usgs":false,"family":"Rhoades","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":40027,"text":"United States Forest Service","active":true,"usgs":false}],"preferred":false,"id":772580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hogue, Terri S.","contributorId":205175,"corporation":false,"usgs":false,"family":"Hogue","given":"Terri","email":"","middleInitial":"S.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":772581,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215341,"text":"70215341 - 2019 - Updating estimates of low-streamflow statistics to account for possible trends","interactions":[],"lastModifiedDate":"2020-10-15T18:52:38.595974","indexId":"70215341","displayToPublicDate":"2019-09-02T13:46:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7162,"text":"Hydrologic Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"Updating estimates of low-streamflow statistics to account for possible trends","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Accurate estimators of streamflow statistics are critical to the design, planning, and management of water resources. Given increasing evidence of trends in low-streamflow, new approaches to estimating low-streamflow statistics are needed. Here we investigate simple approaches to select a recent subset of the low-flow record to update the commonly used statistic of 7<i>Q</i>10, the annual minimum 7-day streamflow exceeded in 9 out of 10 years on average. Informed by low-streamflow records at 174 US Geological Survey streamgages, Monte Carlo simulation experiments evaluate competing approaches. We find that a strategy which estimates 7<i>Q</i>10 using the most recent 30 years of record when a trend is detected, reduces error and bias in 7<i>Q</i>10 estimators compared to use of the full record. This simple rule-based approach has potential as the basis for a framework for updating frequency-based statistics in the context of possible trends.</p></div></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02626667.2019.1655148","usgsCitation":"Blum, A., Archfield, S.A., Hirsch, R.M., Vogel, R., Kiang, J.E., and Dudley, R., 2019, Updating estimates of low-streamflow statistics to account for possible trends: Hydrologic Sciences Journal, v. 6, no. 12, p. 1404-1414, https://doi.org/10.1080/02626667.2019.1655148.","productDescription":"11 p.","startPage":"1404","endPage":"1414","ipdsId":"IP-102570","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":459950,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02626667.2019.1655148","text":"Publisher Index Page"},{"id":379423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.2666015625,\n              36.527294814546245\n            ],\n            [\n              -71.630859375,\n              36.527294814546245\n            ],\n            [\n              -71.630859375,\n              42.48830197960227\n            ],\n            [\n              -78.2666015625,\n              42.48830197960227\n            ],\n            [\n              -78.2666015625,\n              36.527294814546245\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"12","noUsgsAuthors":false,"publicationDate":"2019-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Blum, Annalise G.","contributorId":193846,"corporation":false,"usgs":false,"family":"Blum","given":"Annalise G.","affiliations":[],"preferred":false,"id":801792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":801793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":801794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vogel, Richard M","contributorId":241035,"corporation":false,"usgs":false,"family":"Vogel","given":"Richard M","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":801795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":801796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dudley, Robert W. 0000-0002-0934-0568","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":220211,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":801797,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70206402,"text":"70206402 - 2019 - Estimating annual Ceratonova shasta mortality rates in juvenile Scott and Shasta River coho salmon that enter the Klamath River mainstem","interactions":[],"lastModifiedDate":"2019-11-04T10:42:26","indexId":"70206402","displayToPublicDate":"2019-09-02T07:01:39","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"TR 2019-38","displayTitle":"Estimating annual <i>Ceratonova shasta</i> mortality rates in juvenile Scott and Shasta River coho salmon that enter the Klamath River mainstem","title":"Estimating annual Ceratonova shasta mortality rates in juvenile Scott and Shasta River coho salmon that enter the Klamath River mainstem","docAbstract":"<p>The impacts of <i>Ceratonova shasta</i> on Klamath River salmonids have been the focus of tremendous research and monitoring over the past decade. Knowledge gained from the various studies has resulted in a growing suite of decision support tools that can be used to predict the prevalence of infection and mortality that can be expected from varying exposure concentrations to <i>C. shasta</i> waterborne spores, exposure durations, and water temperatures. More recent efforts have shown that when coupled with estimates of abundance and temporal migration timing, these tools can be used to predict population-level rates of annual mortality due to ceratomyxosis. In this report, we apply those tools to estimate annual mortality rates of juvenile Coho Salmon <i>Oncorhynchus kisutch</i> originating from the Scott and Shasta rivers that result from exposure to <i>C. shasta</i> in the mainstem Klamath River. Additionally, we simulate how a water management flow regime targeted to reduce disease risk may translate into differing estimates of mortality rates. In general, we found large variation among annual mortality rate estimates, ranging from 0% to 68% across both rivers and across all years considered in this investigation. Further, we estimate that fish from the Shasta River experienced higher mortality rates owning to their prolonged exposure history. Finally, our simulations suggest that the flow regime targeting reduced disease risk could be effective at reducing annual Coho Salmon mortality rate estimates, with the extent of the estimated reductions related to the timing of the onset of measurable in-river waterborne spore concentrations and the overlap with the Klamath River residence for each source population.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Arcata fisheries technical report number TR 2019-38","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"U.S. Fish and Wildlife Service","collaboration":"U.S. Fish and Wildlife Service","usgsCitation":"Som, N.A., Hetrick, N.J., Perry, R., and Alexander, J.D., 2019, Estimating annual Ceratonova shasta mortality rates in juvenile Scott and Shasta River coho salmon that enter the Klamath River mainstem, iv, 18 p.","productDescription":"iv, 18 p.","ipdsId":"IP-111609","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":368863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368855,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.fws.gov/arcata/fisheries/reports/technical/2019/2019-38%20POM%20juvenile%20Scott_Shasta%20Coho%209_18_2019.pdf"}],"country":"United States","state":"California, Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.71679687499999,\n              41.50857729743935\n            ],\n            [\n              -120.498046875,\n              41.50857729743935\n            ],\n            [\n              -120.498046875,\n              42.47209690919285\n            ],\n            [\n              -124.71679687499999,\n              42.47209690919285\n            ],\n            [\n              -124.71679687499999,\n              41.50857729743935\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":774414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hetrick, Nicholas J.","contributorId":168367,"corporation":false,"usgs":false,"family":"Hetrick","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":774415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220189,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Julie D","contributorId":220190,"corporation":false,"usgs":false,"family":"Alexander","given":"Julie","email":"","middleInitial":"D","affiliations":[{"id":40145,"text":"Oregon State University, Department of Microbiology Bartholomew Lab, Corvallis, OR 97331","active":true,"usgs":false}],"preferred":false,"id":774417,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208755,"text":"70208755 - 2019 - Chemically enhanced treatment wetland to improve water quality and mitigate land subsidence in the Sacramento-San Joaquin Delta: Cost and design considerations","interactions":[],"lastModifiedDate":"2020-12-07T21:00:58.033121","indexId":"70208755","displayToPublicDate":"2019-09-02T06:37:06","publicationYear":"2019","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":"Chemically enhanced treatment wetland to improve water quality and mitigate land subsidence in the Sacramento-San Joaquin Delta: Cost and design considerations","docAbstract":"Water quality impairment and land surface subsidence threaten the viability of the Sacramento-San Joaquin Delta (Delta), a critical component of California’s water conveyance system. Current day irrigation drainage through Delta island peat soils impacts drinking water treatment and is linked to mercury transport, potentially posing both ecological and public health concerns. Hybrid coagulation-treatment wetland systems, termed Chemically Enhanced Treatment Wetlands (CETWs), were studied as a means to cost-effectively treat agricultural drainage water from subsided Delta islands to reduce the export of drinking water quality constituents of concern and mitigate land subsidence through accretion. We provide cost estimates and design recommendations to aid broader implementation of this technology. Over a 20-year horizon using a Total Annualized Cost analysis, we estimate treatment costs of $602 – $747 per acre-foot (ac-ft) water treated and $36 – $70 per kg dissolved organic carbon (DOC) removed depending upon source water DOC concentrations for a small 3-acre CETW system. For larger CETW systems scaled for island sizes of 3,500 – 14,000 acres, costs decrease to $108 – $239 per ac-ft water treated and $11 – $14 per kg DOC removed. The footprints of CETW systems were estimated to be approximately 3% of the area being treated for 4-day hydraulic retention time systems but would decrease to less than 1% for 1-day hydraulic retention time systems. CETWs ultimately address several of the Delta’s key internal issues while keeping water treatment costs competitive with other currently available treatment technologies at similar scales on a per carbon removed basis. CETWs offer a reliable system to reduce out-going DOC and mercury loads and they provide the additional benefit of sediment accretion. System costs and treatment efficacy are highly dependent on inflow source water conditions, land availability and other practical matters. To keep costs low and removal efficacy high, wetland design features will need site-specific evaluation.","language":"English","publisher":"University of California-Davis","doi":"10.15447/sfews.2019v17iss3art1","usgsCitation":"Bachand, P.A., Kraus, T.E., Horwath, W.R., Hatch, N.R., and Bachand, S.M., 2019, Chemically enhanced treatment wetland to improve water quality and mitigate land subsidence in the Sacramento-San Joaquin Delta: Cost and design considerations: San Francisco Estuary and Watershed Science, v. 17, no. 3, 23 p., https://doi.org/10.15447/sfews.2019v17iss3art1.","productDescription":"23 p.","ipdsId":"IP-104998","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":459956,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2019v17iss3art1","text":"Publisher Index Page"},{"id":372720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.870849609375,\n              37.03763967977139\n            ],\n            [\n              -120.465087890625,\n              37.03763967977139\n            ],\n            [\n              -120.465087890625,\n              39.29179704377487\n            ],\n            [\n              -123.870849609375,\n              39.29179704377487\n            ],\n            [\n              -123.870849609375,\n              37.03763967977139\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Bachand, Philip A. M. 0000-0002-6757-2404","orcid":"https://orcid.org/0000-0002-6757-2404","contributorId":207558,"corporation":false,"usgs":false,"family":"Bachand","given":"Philip","email":"","middleInitial":"A. M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":783278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783277,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horwath, William R. 0000-0003-3707-0697","orcid":"https://orcid.org/0000-0003-3707-0697","contributorId":207560,"corporation":false,"usgs":false,"family":"Horwath","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":783280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatch, Nathan R.","contributorId":222826,"corporation":false,"usgs":false,"family":"Hatch","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":40607,"text":"Bachand & Associates, Davis, CA","active":true,"usgs":false}],"preferred":false,"id":783281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bachand, Sandra M. 0000-0001-5235-9726","orcid":"https://orcid.org/0000-0001-5235-9726","contributorId":207557,"corporation":false,"usgs":false,"family":"Bachand","given":"Sandra","email":"","middleInitial":"M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":783279,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70205437,"text":"70205437 - 2019 - Evaluation of an acoustic fish deterrent system in shallow water application at the Emiquon Preserve, Lewistown, IL.","interactions":[],"lastModifiedDate":"2019-09-18T18:01:16","indexId":"70205437","displayToPublicDate":"2019-09-01T17:53:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of an acoustic fish deterrent system in shallow water application at the Emiquon Preserve, Lewistown, IL.","docAbstract":"<p><span>Expansion of non-native fish have caused ecological and economic damage and can negatively impact native fish populations. Current research on deterrent technologies for bighead&nbsp;</span><i>Hypophthalmichthys nobilis</i><span>&nbsp;and silver carp&nbsp;</span><i>H. molitrix</i><span>&nbsp;have primarily focused on reducing upstream movement in large river lock approaches. However, there is also interest in excluding carp from smaller-scale locations. A water control structure at Emiquon Preserve, Lewistown, Illinois, USA reconnected the Preserve’s wetland lakes to the Illinois River, and is a pinch point that site managers seek to deter immigration of non-native fishes without restricting native fish movement. One possible deterrent strategy that was evaluated within the water control structure in 2017 was the use of a 100 hp boat motor acoustic stimulus. Two underwater speakers were installed in each of two culverts to discourage fish movement though the water control structure. Fish passage was monitored using a series of passive integrated transponder (PIT) antennas in a confined study area. A combination of 176 fish consisting of seven different species (native and non-native) were implanted with PIT tags and relocated downstream of the water control structure. Over 2 days of periodic playback of the acoustic stimulus, 29% of tagged silver carp that were detected crossed though the active underwater speaker array. The acoustic treatment did not significantly reduce silver carp or native centrarchid passage through the culverts. However, numerous silver carp were observed jumping out of the acoustically active culvert at the onset of the stimulus. The acoustic stimulus, especially the frequencies to which silver carp are most sensitive to (&lt; 2000 Hz), rapidly attenuated in the water control structure (water depth 0.55–0.38 m). Depth related attenuation observed in and around the water control structure may have reduced the efficacy of the acoustic fish deterrent system at this location.</span></p>","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/mbi.2019.10.3.09","usgsCitation":"Wamboldt, J.J., Murchy, K., Stanton, J.C., Blodgett, K.D., and Brey, M.K., 2019, Evaluation of an acoustic fish deterrent system in shallow water application at the Emiquon Preserve, Lewistown, IL.: Management of Biological Invasions, v. 10, no. 3, p. 536-558, https://doi.org/10.3391/mbi.2019.10.3.09.","productDescription":"23 p.","startPage":"536","endPage":"558","ipdsId":"IP-102187","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":459958,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2019.10.3.09","text":"Publisher Index Page"},{"id":437354,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YRTNHI","text":"USGS data release","linkHelpText":"Evaluation of an acoustic fish deterrent system in shallow water application at the Emiquon Preserve, Lewistown, IL Data"},{"id":367532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","city":"Lewistown","otherGeospatial":"Emiquon Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.19020080566406,\n              40.2863352647122\n            ],\n            [\n              -90.03982543945312,\n              40.2863352647122\n            ],\n            [\n              -90.03982543945312,\n              40.3810745182893\n            ],\n            [\n              -90.19020080566406,\n              40.3810745182893\n            ],\n            [\n              -90.19020080566406,\n              40.2863352647122\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wamboldt, James J. 0000-0003-3043-5198","orcid":"https://orcid.org/0000-0003-3043-5198","contributorId":219060,"corporation":false,"usgs":true,"family":"Wamboldt","given":"James","email":"","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":771171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murchy, Kelsie A.","contributorId":190582,"corporation":false,"usgs":false,"family":"Murchy","given":"Kelsie A.","affiliations":[],"preferred":false,"id":771172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":771173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blodgett, K. Douglas","contributorId":208277,"corporation":false,"usgs":false,"family":"Blodgett","given":"K.","email":"","middleInitial":"Douglas","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":771174,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":771175,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70227873,"text":"70227873 - 2019 - Clarifying how hunt-specific experiences affect satisfaction among more avid and less avid waterfowl hunters","interactions":[],"lastModifiedDate":"2022-02-01T17:49:38.02937","indexId":"70227873","displayToPublicDate":"2019-09-01T11:45:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Clarifying how hunt-specific experiences affect satisfaction among more avid and less avid waterfowl hunters","docAbstract":"Marketing research methods could enhance understanding of hunter satisfaction, a key metric for state wildlife management agencies. We use three marketing research approaches—revised importance-performance, importance-grid, and penalty-reward-contrast analysis—to examine the determinants of waterfowl hunter satisfaction. These methods have seen limited application in research on hunting and other outdoor recreation activities. Using results from a 2015 mail survey, we examine the implicit and explicit motivations and overall satisfaction of Minnesota waterfowl hunters. We also differentiate how experiences relate to satisfaction for more avid and less avid hunters, differentiated by self-reported importance of the activity. Seeing ducks in the field was important to satisfaction for both avidity groups. Bagging ducks each day in the field was more important to satisfaction for less avid hunters, while bagging a lot of ducks over the season and attracting ducks with decoys were more important to the satisfaction of more avid hunters. The methods that we employ here illuminate differences between explicit and implicit motivations for participation in waterfowl hunting, clarify factors crucial to satisfaction, and identify asymmetric influences of experiences on satisfaction and dissatisfaction.","language":"English","doi":"10.1002/wsb.1006","usgsCitation":"Fulton, D.C., Schroeder, S.A., Cornicelli, L., Cordts, S.D., and Jeffrey S. Lawrence, 2019, Clarifying how hunt-specific experiences affect satisfaction among more avid and less avid waterfowl hunters: Wildlife Society Bulletin, v. 43, no. 3, p. 455-467, https://doi.org/10.1002/wsb.1006.","productDescription":"13 p.","startPage":"455","endPage":"467","ipdsId":"IP-093572","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":499998,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/846f7114721745ec91c522bcb0bbd27e","text":"External Repository"},{"id":395222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","volume":"43","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schroeder, Susan A.","contributorId":272994,"corporation":false,"usgs":false,"family":"Schroeder","given":"Susan","email":"","middleInitial":"A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":832448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cornicelli, Louis","contributorId":272996,"corporation":false,"usgs":false,"family":"Cornicelli","given":"Louis","email":"","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":832449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cordts, Steven D.","contributorId":272997,"corporation":false,"usgs":false,"family":"Cordts","given":"Steven","email":"","middleInitial":"D.","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":832450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jeffrey S. Lawrence","contributorId":272999,"corporation":false,"usgs":false,"family":"Jeffrey S. Lawrence","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":832451,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204920,"text":"70204920 - 2019 - Back to the future: Rebuilding the Everglades","interactions":[],"lastModifiedDate":"2019-09-03T15:08:16","indexId":"70204920","displayToPublicDate":"2019-09-01T10:57:55","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"chapter":"8","title":"Back to the future: Rebuilding the Everglades","docAbstract":"Society values landscapes that are engrained in cultural tradition and have a rich connection with human history. As such, there has been a concerted effort to look at the pristine past and develop plans to move the past into the future. However, bringing the past back is constrained by hysteretic changes, irrevocable damages, and anthropogenic trends that do not reflect past conditions. The scale of the Everglades and its importance to water supply and flood control is such that a full recovery, to past, pre-drainage conditions, is not possible. What is possible?  The answer is the federally authorized Comprehensive Everglades Restoration Plan (CERP) and the first, most significant implementation of the $12 Billion CERP is the $2 Billion Central Everglades Planning Project (CEPP). CEPP is our “flux-capacitor” in the DeLorean sports car that generates the ability to go back and forth in time, in the movie series “Back to the Future.” \n \nThe primary hydrological modeling outputs of CEPP came from a version of the Regional Simulation Model (RSM), developed by the South Florida Water Management District. The RSM is the DeLorean vehicle, designed to carry the bags of ecological restoration. Unfortunately, the capacity of this vehicle (i.e., CEPP) is limited, but is it large enough? Will CEPP make a difference? The 20-year RSM simulations (1965 – 1985) without restoration showed nine dry periods when there was no water in the sloughs of Everglades National Park (ENP). When the model was run with CEPP conditions, all of these extreme dry conditions were eliminated. The impact of this was most apparent for fish, especially the size classes that wading birds eat. With our DeLorean (i.e. the RSM) we saw a 60-90% increase in fish density. As one might expect, the birds in our alternative future responded to the fish. The increased volume, flow, and connectivity in the CEPP simulations significantly improved the foraging response of all wading bird species, especially in Water Conservation Area 3 (WCA-3) and ENP. Foraging conditions for an average CEPP year improved by 25-100%. Further downstream, the CEPP simulations showed increased delivery of low nutrient fresh water to the Coastal Everglades and Florida Bay that displaced the relatively P-rich marine water, increased water transparency, and thus decreased algal blooms. However, in a future with accelerating sea levels and estuarine lakes with legacy phosphorus (P), how much more fresh water will be needed to maintain submerged aquatic vegetated habitats? The quest for Everglades Restoration will reach a resource management milestone with the implementation of CEPP. CEPP successfully used a broad suite of hydrological, ecological and societal models to build an acceptable and feasible adaptive management vision of the future. It has been a long and difficult journey, but what we have learned in the process will guide future travelers back in time.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Coastal Everglades: The Dynamics of Social-Ecological Transformation in the South Florida Landscape","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","usgsCitation":"Sklar, F.H., Beerens, J.M., Brandt, L.A., Coronado-Molina, C.A., Davis, S.M., Frankovich, T., Madden, C., McLean, A., Trexler, J.C., and Wilcox, W., 2019, Back to the future: Rebuilding the Everglades, chap. 8 <i>of</i> The Coastal Everglades: The Dynamics of Social-Ecological Transformation in the South Florida Landscape, p. 202-230.","productDescription":"29 p.","startPage":"202","endPage":"230","ipdsId":"IP-069574","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":367151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367150,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://global.oup.com/academic/product/the-coastal-everglades-9780190869007?cc=us&lang=en&#"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.25900268554688,\n              25.09430487853125\n            ],\n            [\n              -80.53253173828124,\n              25.09430487853125\n            ],\n            [\n              -80.53253173828124,\n              25.667522551344298\n            ],\n            [\n              -81.25900268554688,\n              25.667522551344298\n            ],\n            [\n              -81.25900268554688,\n              25.09430487853125\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sklar, Fred H.","contributorId":195576,"corporation":false,"usgs":false,"family":"Sklar","given":"Fred","email":"","middleInitial":"H.","affiliations":[{"id":27553,"text":"South Florida Water Management District, West Palm Beach, FL","active":true,"usgs":false}],"preferred":false,"id":769022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beerens, James M. 0000-0001-8143-916X jbeerens@usgs.gov","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":143722,"corporation":false,"usgs":true,"family":"Beerens","given":"James","email":"jbeerens@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":769021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Laura A.","contributorId":146646,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":769023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coronado-Molina, Carlos A.","contributorId":195566,"corporation":false,"usgs":false,"family":"Coronado-Molina","given":"Carlos","email":"","middleInitial":"A.","affiliations":[{"id":27553,"text":"South Florida Water Management District, West Palm Beach, FL","active":true,"usgs":false}],"preferred":false,"id":769024,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Steven M","contributorId":213398,"corporation":false,"usgs":false,"family":"Davis","given":"Steven","email":"","middleInitial":"M","affiliations":[{"id":38747,"text":"Ibis Ecosystems Associates, Inc","active":true,"usgs":false}],"preferred":false,"id":769025,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Frankovich, Tom","contributorId":218331,"corporation":false,"usgs":false,"family":"Frankovich","given":"Tom","email":"","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":769026,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Madden, Christopher","contributorId":195949,"corporation":false,"usgs":false,"family":"Madden","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":769027,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McLean, Agnes","contributorId":218332,"corporation":false,"usgs":false,"family":"McLean","given":"Agnes","email":"","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":769028,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Trexler, Joel C.","contributorId":36267,"corporation":false,"usgs":false,"family":"Trexler","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":769029,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wilcox, Walter","contributorId":218333,"corporation":false,"usgs":false,"family":"Wilcox","given":"Walter","affiliations":[{"id":36603,"text":"SFWMD","active":true,"usgs":false}],"preferred":false,"id":769030,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70226694,"text":"70226694 - 2019 - Effects of air exposure on survival of Yellowstone Cutthroat Trout angled from a stream with warm water temperatures","interactions":[],"lastModifiedDate":"2021-12-06T12:26:28.238835","indexId":"70226694","displayToPublicDate":"2019-09-01T06:19:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of air exposure on survival of Yellowstone Cutthroat Trout angled from a stream with warm water temperatures","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>We evaluated the effects of air exposure on Yellowstone Cutthroat Trout<span>&nbsp;</span><i>Oncorhynchus clarkii bouvieri</i><span>&nbsp;</span>caught and released in a cold-water stream with elevated water temperatures (i.e., &gt; 14°C) in southeastern Idaho. Anglers caught fish in a 2.3-km section of Fall Creek, Idaho, during August 2018. Sampled fish remained underwater while we measured and then tagged them with T-bar anchor tags. We exposed fish to air for 0, 30, or 60 s and then released them at the point of capture. We continuously monitored temperature during the study period. Water temperatures during the study varied from 10.0 to 19.7°C and averaged 14.9°C (SE = 0.08). In total, anglers caught 161 Yellowstone Cutthroat Trout over 10 d. Of those fish, we did not expose 54 to air; we exposed 54 to air for 30 s, and 53 for 60 s. We used electrofishing to recapture tagged fish and estimate relative survival. Relative survival was highest for fish exposed to air for 60 s (0.40 [SE = 0.25]) followed by 0 s (0.35 [SE = 0.25]) and 30 s (0.30 [SE = 0.27]), but differences were not statistically significant. Results from this study are consistent with other air-exposure studies suggesting that air exposure of 60 s or less is not likely a concern in Yellowstone Cutthroat Trout fisheries. Releasing fish as quickly as possible is always encouraged, but management regulations restricting air exposure seem unnecessary given the collective body of field-based research on air exposure. Nevertheless, similar studies on other systems and species are warranted.</p></div>","language":"English","publisher":"Allen Press","doi":"10.3996/042019-JFWM-025","usgsCitation":"McCarrick, D.K., Roth, C.J., Schill, D.J., High, B., and Quist, M.C., 2019, Effects of air exposure on survival of Yellowstone Cutthroat Trout angled from a stream with warm water temperatures: Journal of Fish and Wildlife Management, v. 10, no. 2, p. 509-516, https://doi.org/10.3996/042019-JFWM-025.","productDescription":"8 p.","startPage":"509","endPage":"516","ipdsId":"IP-106307","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467327,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/042019-jfwm-025","text":"Publisher Index Page"},{"id":392496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","county":"Idaho 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,{"id":70202942,"text":"70202942 - 2019 - Drought in the U.S. Affiliated Pacific Islands: Impacts to water resources","interactions":[],"lastModifiedDate":"2019-12-31T08:48:21","indexId":"70202942","displayToPublicDate":"2019-08-31T17:39:30","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":21,"text":"Fact Sheet","active":false,"publicationSubtype":{"id":1}},"title":"Drought in the U.S. Affiliated Pacific Islands: Impacts to water resources","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Anthony, S., 2019, Drought in the U.S. Affiliated Pacific Islands: Impacts to water resources: Fact Sheet, HTML.","productDescription":"HTML","ipdsId":"IP-106966","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":369936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369935,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/land-resources/climate-adaptation-science-centers/drought-us-affiliated-pacific-islands"}],"otherGeospatial":"American Samoa, Guam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              144.23950195312497,\n              12.843937692841445\n            ],\n            [\n              145.4150390625,\n              12.843937692841445\n            ],\n            [\n              145.4150390625,\n              13.998036539606128\n            ],\n            [\n              144.23950195312497,\n              13.998036539606128\n            ],\n            [\n              144.23950195312497,\n              12.843937692841445\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Stephen 0000-0001-6209-1428 santhony@usgs.gov","orcid":"https://orcid.org/0000-0001-6209-1428","contributorId":214691,"corporation":false,"usgs":true,"family":"Anthony","given":"Stephen","email":"santhony@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760567,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70204032,"text":"70204032 - 2019 - Developing a precision irrigation framework to facilitate smallholder dry-season farming in developing countries: A case study in northern Ghana","interactions":[],"lastModifiedDate":"2019-12-03T10:59:46","indexId":"70204032","displayToPublicDate":"2019-08-31T10:59:24","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Developing a precision irrigation framework to facilitate smallholder dry-season farming in developing countries: A case study in northern Ghana","docAbstract":"<p><span>Changing climate has resulted in increasingly unreliable weather patterns with prolonged dry-seasons in some parts of Sub-Saharan Africa. Food production in these areas is under threat because the people depend mostly on rain-fed farming. Enabling dry-season farming, in light of the prolonged dry-seasons, is central to sustainable food production and poverty alleviation in these areas. Efficient water management is key to successful dry-season farming. Ideally, efficient irrigation water management should involve real-time monitoring of soil moisture (SM) to guide irrigation scheduling. However, farmers in these areas are mostly poor smallholder farmers without the financial capacity to instrument their farms for real-time SM monitoring. We present a precision irrigation framework (PIF) as a low-cost alternative to site-specific SM monitoring to guide irrigation scheduling. PIF applies machine leaning to integrate multi-scale ground-truth data and satellite imagery to create irrigation water management zones for an entire region. We demonstrate the strategy in the Pwalugu area in northern Ghana.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SEG Technical Program Expanded Abstracts 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/segam2019-3216819.1","usgsCitation":"Fontaine, J.M., Fentzke, J., Oware, E.K., Doe, E., Guug, S., and Lane, J., 2019, Developing a precision irrigation framework to facilitate smallholder dry-season farming in developing countries: A case study in northern Ghana, <i>in</i> SEG Technical Program Expanded Abstracts 2019, p. 4804-4808, https://doi.org/10.1190/segam2019-3216819.1.","productDescription":"5 p.","startPage":"4804","endPage":"4808","ipdsId":"IP-107418","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":369864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ghana","otherGeospatial":"Pwalugu Project Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -1.669921875,\n              10.228437266155943\n            ],\n            [\n              -0.406494140625,\n              10.228437266155943\n            ],\n            [\n              -0.406494140625,\n              10.973549898080215\n            ],\n            [\n              -1.669921875,\n              10.973549898080215\n            ],\n            [\n              -1.669921875,\n              10.228437266155943\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Fontaine, Jeremy M","contributorId":203748,"corporation":false,"usgs":false,"family":"Fontaine","given":"Jeremy","email":"","middleInitial":"M","affiliations":[{"id":36706,"text":"The State University of New York at Buffalo","active":true,"usgs":false}],"preferred":false,"id":765196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fentzke, Joseph","contributorId":216628,"corporation":false,"usgs":false,"family":"Fentzke","given":"Joseph","email":"","affiliations":[{"id":36706,"text":"The State University of New York at Buffalo","active":true,"usgs":false}],"preferred":false,"id":765197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oware, Erasmus K","contributorId":203750,"corporation":false,"usgs":false,"family":"Oware","given":"Erasmus","email":"","middleInitial":"K","affiliations":[{"id":36706,"text":"The State University of New York at Buffalo","active":true,"usgs":false}],"preferred":false,"id":765198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doe, Eric","contributorId":216629,"corporation":false,"usgs":false,"family":"Doe","given":"Eric","email":"","affiliations":[{"id":39489,"text":"International Institute of Tropical Agriculture, Tamale","active":true,"usgs":false}],"preferred":false,"id":765199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guug, Samuel","contributorId":216630,"corporation":false,"usgs":false,"family":"Guug","given":"Samuel","email":"","affiliations":[{"id":39490,"text":"The West African Science Service Center on Climate Change and Adapted Land Use (WASCAL)","active":true,"usgs":false}],"preferred":false,"id":765200,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lane, John W. Jr. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":210076,"corporation":false,"usgs":true,"family":"Lane","given":"John W.","suffix":"Jr.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":765195,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223413,"text":"70223413 - 2019 - An importance–satisfaction analysis of trout license holders in Georgia","interactions":[],"lastModifiedDate":"2021-08-26T16:13:39.597322","indexId":"70223413","displayToPublicDate":"2019-08-30T11:10:40","publicationYear":"2019","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":"An importance–satisfaction analysis of trout license holders in Georgia","docAbstract":"<p><span>As anglers become increasingly diverse, fisheries managers are challenged to find ways to satisfy users with divergent preferences while conserving a limited resource on a limited budget. With this management challenge in mind, this study combines previous angler specialization research with an importance–satisfaction analysis (ISA) to aid fisheries managers in better understanding users with divergent preferences. An ISA involves asking stakeholders to simultaneously evaluate the importance of salient attributes of their fishing experience and their satisfaction with those attributes, which allows for graphical depiction of each attribute in one of four quadrants with managerial implications: Concentrate Here, Keep up the Good Work, Possible Overkill, and Low Priority. The data were collected via a mail-administered survey that was sent to 4,000 licensed trout anglers who were residents of Georgia. The anglers were asked to evaluate 10 catch and 7 noncatch attributes as well as answer questions that were used to measure levels of angler specialization. A&nbsp;</span><i>K</i><span>-means cluster analysis was used to segment the 469 respondents into three groups based on their specialization level. Analysis of variance (ANOVA) was used to determine whether anglers’ preferences differed by level of specialization. The results revealed that specialization groups differed in the level of importance that they placed on 6 catch and 4 noncatch attributes and in their levels of satisfaction with 5 catch and 2 noncatch attributes. There were also differences among the groups in quadrant placement for both catch and noncatch attributes. The respondents agreed that habitat improvement initiatives, adding new fishable water, and clear signage of regulations were of relatively high importance, with habitat improvement initiatives as the only attribute to fall in the Concentrate Here quadrant for all three clusters. The average responses for importance and satisfaction were highest for the most specialized group and lowest for the least specialized group. Combining segmenting techniques, like cluster analysis with ISA, offers fisheries managers the opportunity to gauge different user groups’ perceptions of salient fishery attributes.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10353","usgsCitation":"TenHarmsel, H.J., Boley, B.B., Irwin, B.J., and Jennings, C.A., 2019, An importance–satisfaction analysis of trout license holders in Georgia: North American Journal of Fisheries Management, v. 39, no. 6, p. 1227-1241, https://doi.org/10.1002/nafm.10353.","productDescription":"15 p.","startPage":"1227","endPage":"1241","ipdsId":"IP-102950","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467329,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10353","text":"Publisher Index Page"},{"id":388549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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B.","contributorId":264805,"corporation":false,"usgs":false,"family":"Boley","given":"B.","email":"","middleInitial":"B.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":821993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":821994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":821995,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208760,"text":"70208760 - 2019 - Sequestration and transformation in chemically enhanced treatment wetlands: DOC, DBPPs and Nutrients","interactions":[],"lastModifiedDate":"2020-02-28T06:43:57","indexId":"70208760","displayToPublicDate":"2019-08-30T06:42:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2255,"text":"Journal of Environmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Sequestration and transformation in chemically enhanced treatment wetlands: DOC, DBPPs and Nutrients","docAbstract":"We examined the effectiveness of chemically enhanced treatment wetlands (CETWs), wetlands that received water treated with coagulants, to remove dissolved organic carbon (DOC), disinfection byproduct precursors (DBPPs), nutrients and metals from agricultural drain water. Wetlands consisted of controls with no coagulant addition, ferric sulfate dosed and polyaluminum chloride dosed treatments. CETWs were more effective in removal of DOC, DBPPs, phosphate, dissolved organic nitrogen and metals than control wetlands. Coagulation treated wetlands removed 245 – 349 g/m2yr DOC, whereas control wetlands produced 51 g/m2yr. Wetland passage released DOC in the controls and treatments; this release was directly correlated to temperature and suggested thermally dependent mechanism(s) were partly responsible. A first-order plug flow reactor kinetic model that considered hydraulic retention time (HRT), temperature and concentration was tested for wetland DOC processing. Models indicate that operating CETWs at high coagulant dosing and low temperature can result in lowest DOC release with additional release suppression. Operating at the lowest HRT to meet discharge targets help overcome wetland processes that increase DOC release and provide the smallest footprint needed for treatment.","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)EE.1943-7870.0001536","usgsCitation":"Bachand, P.A., Bachand, S.M., Kraus, T.E., Stern, D., Ling Liang, Y., and Horwath, W.R., 2019, Sequestration and transformation in chemically enhanced treatment wetlands: DOC, DBPPs and Nutrients: Journal of Environmental Engineering, v. 145, no. 8, 04019044, 16 p., https://doi.org/10.1061/(ASCE)EE.1943-7870.0001536.","productDescription":"04019044, 16 p.","ipdsId":"IP-097091","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":467330,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1061/(asce)ee.1943-7870.0001536","text":"Publisher Index Page"},{"id":372722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"145","issue":"8","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bachand, Philip A. M. 0000-0002-6757-2404","orcid":"https://orcid.org/0000-0002-6757-2404","contributorId":207558,"corporation":false,"usgs":false,"family":"Bachand","given":"Philip","email":"","middleInitial":"A. M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":783301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bachand, Sandra M. 0000-0001-5235-9726","orcid":"https://orcid.org/0000-0001-5235-9726","contributorId":207557,"corporation":false,"usgs":false,"family":"Bachand","given":"Sandra","email":"","middleInitial":"M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":783302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stern, Dylan 0000-0001-5676-8711","orcid":"https://orcid.org/0000-0001-5676-8711","contributorId":215742,"corporation":false,"usgs":false,"family":"Stern","given":"Dylan","email":"","affiliations":[{"id":39311,"text":"Delta Stewardship Program, Aquatic Science Program","active":true,"usgs":false}],"preferred":false,"id":783303,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ling Liang, Yan 0000-0001-5999-3148","orcid":"https://orcid.org/0000-0001-5999-3148","contributorId":207555,"corporation":false,"usgs":false,"family":"Ling Liang","given":"Yan","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":783304,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Horwath, William R. 0000-0003-3707-0697","orcid":"https://orcid.org/0000-0003-3707-0697","contributorId":207560,"corporation":false,"usgs":false,"family":"Horwath","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":783305,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70205217,"text":"70205217 - 2019 - Black Carp in North America: A description of range, habitats, time of year, and methods of reported captures","interactions":[],"lastModifiedDate":"2019-10-28T10:18:37","indexId":"70205217","displayToPublicDate":"2019-08-29T11:53:05","publicationYear":"2019","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":"Black Carp in North America: A description of range, habitats, time of year, and methods of reported captures","docAbstract":"<p><span>Black Carp&nbsp;</span><i>Mylopharyngodon piceus</i><span>&nbsp;are considered invasive in North America. Since the first wild capture in 2003, collection records have increased, yet information summarizing successful collection methods is lacking. Reported capture methods throughout the Black Carp's native and introduced ranges vary providing minimal aid for determining control and monitoring methods. Here, we describe the current species range and the spatial and temporal variation among captures. The size of fish can affect capture; thus, we report captured fish and gear dimensions and recommend appropriate scientific collection methods. We focus on collection data from 302 Black Carp ranging from 410 to 1,607&nbsp;mm total length received from 2011 to February 2019. The reported range of Black Carp has expanded in the Cumberland, Illinois, Mississippi, Missouri, Ohio, and Tennessee rivers. Captures most frequently occurred in channel (41%), side‐channel (24%), and backwater (22%) habitat types, with increased records in May, June, and July. Most records were commercial captures, of which hoop net (51%) and gill net (26%) were most common. Results suggest that standard scientific methods for sampling fish in large rivers and standing water by hoop net and gill net may be used to monitor Black Carp, but a robust study design needs to be applied to determine gear selectivity and to determine if catch rates are density dependent or incidental.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10340","usgsCitation":"Kroboth, P., Cox, C., Chapman, D., and Whitledge, G.W., 2019, Black Carp in North America: A description of range, habitats, time of year, and methods of reported captures: North American Journal of Fisheries Management, v. 39, no. 5, p. 1046-1055, https://doi.org/10.1002/nafm.10340.","productDescription":"10 p.","startPage":"1046","endPage":"1055","ipdsId":"IP-103675","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":467333,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10340","text":"Publisher Index Page"},{"id":437356,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XGRA5Q","text":"USGS data release","linkHelpText":"Black Carp in North America: a description of range, habitats, time of year, and methods of reported captures"},{"id":367288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                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  49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"39","issue":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Kroboth, Patrick 0000-0002-9447-4818","orcid":"https://orcid.org/0000-0002-9447-4818","contributorId":216578,"corporation":false,"usgs":true,"family":"Kroboth","given":"Patrick","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":770406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cox, Cortney 0000-0003-3851-3584","orcid":"https://orcid.org/0000-0003-3851-3584","contributorId":218826,"corporation":false,"usgs":true,"family":"Cox","given":"Cortney","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research 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,{"id":70206098,"text":"70206098 - 2019 - Water velocity regulates macro-consumer herbivory on the  benthic macrophyte Podostemum ceratophyllum Michx.","interactions":[],"lastModifiedDate":"2019-10-23T08:10:39","indexId":"70206098","displayToPublicDate":"2019-08-29T08:09:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Water velocity regulates macro-consumer herbivory on the  benthic macrophyte Podostemum ceratophyllum Michx.","docAbstract":"1) Macrophytes influence aquatic ecosystems by increasing habitat complexity and providing trophic resources for aquatic fauna. While herbivory on freshwater macrophytes is widely documented in lakes, low-velocity riverine habitats, the influence of herbivory on macrophytes in higher-velocity habitats has rarely been examined. \n\n2) We  investigated the hypothesis that high water velocity can reduce consumption rates of the submerged macrophyte, Podostemum ceratophyllum, an angiosperm which grows attached to stable substrates in high water-velocity riverine habitats throughout eastern North America. \n\n3) We estimated grazing-pressure by conducting short-term (up to 77-d) transplant and consumer-exclosure experiments, and quantified changes in Podostemum stem length when the plant was eposed to low (<0.5 m s-1) and higher velocities in two Piedmont rivers in Georgia (USA).  Podostemum transplanted into low-velocity habitats rapidly lost stem length unless macro-consumers were excluded from accessing the plant.  In contrast, Podostemum tranplanted into high-velocity habitats showed little change or gained stem length. \n\n4) We estimated that 85% (67 – 98%; 95% credible interval) of the daily stem growth (0.026 cm cm-1 day-1) in Podostemum was consumed during a 77-d paired consumer-access versus exclosure experiment conducted in mean water velocities of 0.35-0.5 m s-1.  We also found a positive relation (R2 = 0.58) between Podostemum biomass and water velocity (ranging between ~0.1 -1.4 m s-1) in benthic samples collected over a two-month period. \n\n5) We conclude that high water velocity reduces herbivory on Podostemum, and that water velocity can thus control the acural of benthic plant biomass and the movement of plant-derived materials through benthic food webs. Our research has implications for estimating resource storage and flux in lotic food webs and illuminates a mechanism by which flow regulation and management may affect basal resources in rivers.","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13393","usgsCitation":"Wood, J.L., Skaggs, J.W., Conn, C.C., and Freeman, M., 2019, Water velocity regulates macro-consumer herbivory on the  benthic macrophyte Podostemum ceratophyllum Michx.: Freshwater Biology, v. 64, no. 11, p. 2037-2045, https://doi.org/10.1111/fwb.13393.","productDescription":"9 p.","startPage":"2037","endPage":"2045","ipdsId":"IP-095841","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":368506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70204973,"text":"70204973 - 2019 - Non-native marine fishes in Florida: Updated checklist, population status and early detection/rapid response","interactions":[],"lastModifiedDate":"2020-01-03T09:51:51","indexId":"70204973","displayToPublicDate":"2019-08-27T14:00:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":994,"text":"BioInvasions Records","active":true,"publicationSubtype":{"id":10}},"title":"Non-native marine fishes in Florida: Updated checklist, population status and early detection/rapid response","docAbstract":"It has been ten years since the last comprehensive assessment of non-native marine fishes in Florida. Herein, we report sightings of 41 species from Florida coastal waters since the earliest reported sighting in 1984. Information is provided on the population status of each species (e.g., established, eradicated, unknown), and our early detection/rapid response program to remove these fish is described. Of the 41 species, five have established reproducing populations. Nineteen species are either eradicated or failed, while the status of 17 additional species is unknown. Since 1999, 18 individuals comprising 13 species have been removed from coastal waters, most of which were collected through our early-detection/rapid-response program. Many of those fishes were transferred to public aquaria where they were displayed to provide educational information to the public. Most reports of non-native marine fishes originated from citizen scientists, emphasizing the importance of outreach and education.","language":"English","publisher":"REABIC","usgsCitation":"Schofield, P.J., and Akins, L., 2019, Non-native marine fishes in Florida: Updated checklist, population status and early detection/rapid response: BioInvasions Records, v. 8, no. 4, p. 898-910.","productDescription":"13 p.","startPage":"898","endPage":"910","ipdsId":"IP-106116","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":366970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366964,"type":{"id":15,"text":"Index Page"},"url":"https://www.reabic.net/journals/bir/2019/Issue4.aspx"}],"country":"United 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,{"id":70204522,"text":"sir20195072 - 2019 - Arsenic, antimony, mercury, and water temperature in streams near Stibnite mining area, central Idaho, 2011–17","interactions":[],"lastModifiedDate":"2019-08-28T10:27:00","indexId":"sir20195072","displayToPublicDate":"2019-08-27T13:23:40","publicationYear":"2019","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":"2019-5072","displayTitle":"Arsenic, Antimony, Mercury, and Water Temperature in Streams near Stibnite Mining Area, Central Idaho, 2011–17","title":"Arsenic, antimony, mercury, and water temperature in streams near Stibnite mining area, central Idaho, 2011–17","docAbstract":"Mineralization and historical mining of stibnite (antimony sulfide), tungsten, gold, silver, and mercury in the headwaters of the East Fork of the South Fork Salmon River (EFSFSR) near the former town of Stibnite in central Idaho resulted in water-quality impairments related to mercury, antimony, and arsenic. Additionally, mining-related disturbances and wildfires have resulted in a lack of riparian shade in some areas, likely impacting water temperatures. In 2011, the U.S. Geological Survey, in cooperation with Midas Gold Corporation and the Idaho Department of Lands, began a study to characterize the spatial and temporal occurrence of trace metals to the EFSFSR. Five sites on the EFSFSR and its tributaries (Meadow and Sugar Creeks) were sampled about six times annually during 2011–17, during a range of streamflow conditions, for a total of 36–40 samples per location. Continuous water temperature, specific conductance, and streamflow also were measured at each site. The purpose of this report is to update previously reported information related to arsenic, antimony, mercury, and water temperature.\n\nConcentrations of dissolved arsenic and antimony generally increased from upstream to downstream in the EFSFSR. At the upstream site, upstream of the Meadow Creek confluence, dissolved arsenic and antimony concentrations averaged 8.86 and 0.93 micrograms per liter (μg/L), respectively. Downstream, upstream from the Sugar Creek confluence, average dissolved concentrations increased to 56.5 and 27.9 μg/L, respectively. All samples from the downstream EFSFSR site exceeded the human-health based criterion for both dissolved arsenic (10 µg/L) and dissolved antimony (5.6 µg/L). The chronic aquatic life criterion for dissolved arsenic (150 μg/L) was not exceeded (the maximum sample concentration was 108 μg/L), and aquatic life criteria for antimony have not been established. The highest concentrations of both dissolved arsenic and dissolved antimony occurred during low-flow periods (July–March), suggesting the constituents are present in groundwater. In contrast, total mercury concentrations were highest during high-flow periods (April–June) and were particulate-associated, suggesting that mercury is present in surface materials. At Sugar Creek, where the highest total mercury concentrations were measured, 97 percent of samples exceeded the chronic aquatic life criterion (0.012 μg/L) and 11 percent exceeded the acute criterion (2.1 μg/L). At all sites, summertime water temperatures frequently  exceeded criteria related to salmonid spawning.\n\nSurrogate models previously developed to estimate continuous concentrations of arsenic, antimony, and mercury were reevaluated and updated, and the importance of explanatory variables on constituent concentrations is discussed. Results from this study can help guide future remediation locations and strategies, and provide a baseline against which future changes can be measured.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195072","collaboration":"Prepared in cooperation with the Idaho Department of Lands and Midas Gold Idaho, Inc.","usgsCitation":"Baldwin, A.K., and Etheridge, A.B., 2019, Arsenic, antimony, mercury, and water temperature in streams near Stibnite mining area, central Idaho, 2011–17: U.S. Geological Survey Scientific Investigations Report 2019-5072, 20 p., plus appendix, https://doi.org/10.3133/sir20195072.","productDescription":"Report: vi, 20 p.; Appendix","onlineOnly":"Y","ipdsId":"IP-093353","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":366989,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5072/coverthb.jpg"},{"id":366990,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5072/sir20195072.pdf","text":"Report","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5072"},{"id":366991,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2019/5072/sir20195072_appendix.pdf","text":"Appendix","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5072 Appendix","linkHelpText":" — Surrogate Regression Model Archive Summaries."}],"country":"United States","state":"Idaho","otherGeospatial":"Stibnite Mining Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.67985534667969,\n              44.793530904744074\n            ],\n            [\n              -115.14564514160158,\n              44.793530904744074\n            ],\n            [\n              -115.14564514160158,\n              45.15541134861056\n            ],\n            [\n              -115.67985534667969,\n              45.15541134861056\n            ],\n            [\n              -115.67985534667969,\n              44.793530904744074\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/id-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Rd<br>Boise, Idaho 83702-4520</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Study Methods</li><li>Results</li><li>Summary</li><li>References Cited</li><li>Appendix. Surrogate Regression Model Archive Summaries</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-08-27","noUsgsAuthors":false,"publicationDate":"2019-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Etheridge, Alexandra B. 0000-0003-1282-7315 aetherid@usgs.gov","orcid":"https://orcid.org/0000-0003-1282-7315","contributorId":3542,"corporation":false,"usgs":true,"family":"Etheridge","given":"Alexandra","email":"aetherid@usgs.gov","middleInitial":"B.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767386,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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