{"pageNumber":"1447","pageRowStart":"36150","pageSize":"25","recordCount":165252,"records":[{"id":70045985,"text":"ds765 - 2013 - Coastal topography–Northeast Atlantic coast, post-hurricane Sandy, 2012","interactions":[],"lastModifiedDate":"2023-04-04T15:18:04.947613","indexId":"ds765","displayToPublicDate":"2013-05-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"765","title":"Coastal topography–Northeast Atlantic coast, post-hurricane Sandy, 2012","docAbstract":"This Data Series contains lidar-derived bare-earth (BE) topography, dune elevations, and mean-high-water shoreline position datasets for most sandy beaches for Fire Island, New York, and from Cape Henlopen, Delaware to Cape Lookout, North Carolina. The data were acquired post-Hurricane Sandy, which made landfall as an extratropical cyclone on October 29, 2012.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds765","usgsCitation":"Stockdon, H.F., Doran, K., Sopkin, K.L., Smith, K., and Fredericks, X., 2013, Coastal topography–Northeast Atlantic coast, post-hurricane Sandy, 2012: U.S. Geological Survey Data Series 765, HTML Document, https://doi.org/10.3133/ds765.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":272332,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds765.png"},{"id":272331,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/765/pubs765/index.html"},{"id":272330,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/765/"}],"country":"United States","state":"Delaware, Maryland, New York, North Carolina, Virginia","otherGeospatial":"northeast Atlantic coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -72.5,\n              41\n            ],\n            [\n              -77,\n              41\n            ],\n            [\n              -77,\n              34.5\n            ],\n            [\n              -72.5,\n              34.5\n            ],\n            [\n              -72.5,\n              41\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5195580de4b0a933d82c4c79","contributors":{"authors":[{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":478647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doran, Kara S. 0000-0001-8050-5727 kdoran@usgs.gov","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":2496,"corporation":false,"usgs":true,"family":"Doran","given":"Kara S.","email":"kdoran@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":478648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sopkin, Kristin L. ksopkin@usgs.gov","contributorId":4437,"corporation":false,"usgs":true,"family":"Sopkin","given":"Kristin","email":"ksopkin@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":478649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Kathryn E. L.","contributorId":20860,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn E. L.","affiliations":[],"preferred":false,"id":478650,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":478651,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045984,"text":"sir20135066 - 2013 - Estimating irrigation water use in the humid eastern United States","interactions":[],"lastModifiedDate":"2013-05-16T13:41:25","indexId":"sir20135066","displayToPublicDate":"2013-05-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5066","title":"Estimating irrigation water use in the humid eastern United States","docAbstract":"Accurate accounting of irrigation water use is an important part of the U.S. Geological Survey National Water-Use Information Program and the WaterSMART initiative to help maintain sustainable water resources in the Nation. Irrigation water use in the humid eastern United States is not well characterized because of inadequate reporting and wide variability associated with climate, soils, crops, and farming practices. To better understand irrigation water use in the eastern United States, two types of predictive models were developed and compared by using metered irrigation water-use data for corn, cotton, peanut, and soybean crops in Georgia and turf farms in Rhode Island. Reliable metered irrigation data were limited to these areas.  The first predictive model that was developed uses logistic regression to predict the occurrence of irrigation on the basis of antecedent climate conditions. Logistic regression equations were developed for corn, cotton, peanut, and soybean crops by using weekly irrigation water-use data from 36 metered sites in Georgia in 2009 and 2010 and turf farms in Rhode Island from 2000 to 2004. For the weeks when irrigation was predicted to take place, the irrigation water-use volume was estimated by multiplying the average metered irrigation application rate by the irrigated acreage for a given crop.  The second predictive model that was developed is a crop-water-demand model that uses a daily soil water balance to estimate the water needs of a crop on a given day based on climate, soil, and plant properties. Crop-water-demand models were developed independently of reported irrigation water-use practices and relied on knowledge of plant properties that are available in the literature. Both modeling approaches require accurate accounting of irrigated area and crop type to estimate total irrigation water use.  Water-use estimates from both modeling methods were compared to the metered irrigation data from Rhode Island and Georgia that were used to develop the models as well as two independent validation datasets from Georgia and Virginia that were not used in model development. Irrigation water-use estimates from the logistic regression method more closely matched mean reported irrigation rates than estimates from the crop-water-demand model when compared to the irrigation data used to develop the equations. The root mean squared errors (RMSEs) for the logistic regression estimates of mean annual irrigation ranged from 0.3 to 2.0 inches (in.) for the five crop types; RMSEs for the crop-water-demand models ranged from 1.4 to 3.9 in. However, when the models were applied and compared to the independent validation datasets from southwest Georgia from 2010, and from Virginia from 1999 to 2007, the crop-water-demand model estimates were as good as or better at predicting the mean irrigation volume than the logistic regression models for most crop types. RMSEs for logistic regression estimates of mean annual irrigation ranged from 1.0 to 7.0 in. for validation data from Georgia and from 1.8 to 4.9 in. for validation data from Virginia; RMSEs for crop-water-demand model estimates ranged from 2.1 to 5.8 in. for Georgia data and from 2.0 to 3.9 in. for Virginia data. In general, regression-based models performed better in areas that had quality daily or weekly irrigation data from which the regression equations were developed; however, the regression models were less reliable than the crop-water-demand models when applied outside the area for which they were developed. In most eastern coastal states that do not have quality irrigation data, the crop-water-demand model can be used more reliably.  The development of predictive models of irrigation water use in this study was hindered by a lack of quality irrigation data. Many mid-Atlantic and New England states do not require irrigation water use to be reported. A survey of irrigation data from 14 eastern coastal states from Maine to Georgia indicated that, with the exception of the data in Georgia, irrigation data in the states that do require reporting commonly did not contain requisite ancillary information such as irrigated area or crop type, lacked precision, or were at an aggregated temporal scale making them unsuitable for use in the development of predictive models. Confidence in the reliability of either modeling method is affected by uncertainty in the reported data from which the models were developed or validated. Only through additional collection of quality data and further study can the accuracy and uncertainty of irrigation water-use estimates be improved in the humid eastern United States.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135066","collaboration":"Prepared in cooperation with the WaterSMART Initiative","usgsCitation":"Levin, S.B., and Zarriello, P.J., 2013, Estimating irrigation water use in the humid eastern United States: U.S. Geological Survey Scientific Investigations Report 2013-5066, viii, 34 p., https://doi.org/10.3133/sir20135066.","productDescription":"viii, 34 p.","numberOfPages":"44","onlineOnly":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":272329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135066.gif"},{"id":272328,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5066/pdf/sir2013-5066_report_508.pdf"},{"id":272327,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5066/"}],"country":"United States","otherGeospatial":"Eastern United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85,30 ], [ -85,33.08 ], [ -81,33.08 ], [ -81,30 ], [ -85,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51955815e4b0a933d82c4c81","contributors":{"authors":[{"text":"Levin, Sara B. 0000-0002-2448-3129 slevin@usgs.gov","orcid":"https://orcid.org/0000-0002-2448-3129","contributorId":1870,"corporation":false,"usgs":true,"family":"Levin","given":"Sara","email":"slevin@usgs.gov","middleInitial":"B.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zarriello, Phillip J. 0000-0001-9598-9904 pzarriel@usgs.gov","orcid":"https://orcid.org/0000-0001-9598-9904","contributorId":1868,"corporation":false,"usgs":true,"family":"Zarriello","given":"Phillip","email":"pzarriel@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478645,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045982,"text":"gip149 - 2013 - Seventy-five years of science—The U.S. Geological Survey’s Western Fisheries Research Center","interactions":[],"lastModifiedDate":"2013-05-16T11:52:13","indexId":"gip149","displayToPublicDate":"2013-05-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"149","title":"Seventy-five years of science—The U.S. Geological Survey’s Western Fisheries Research Center","docAbstract":"As of January 2010, 75 years have elapsed since Dr. Frederic Fish initiated the pioneering research program that would evolve into today’s Western Fisheries Research Center (WFRC). Fish began his research working alone in the basement of the recently opened Fisheries Biological Laboratory on Lake Union in Seattle, Washington. WFRC’s research began under the aegis of the U.S. Fish and Wildlife Service and ends its first 75 years as part of the U.S. Geological Survey with a staff of more than 150 biologists and support personnel and a heritage of fundamental research that has made important contributions to our understanding of the biology and ecology of the economically important fish and fish populations of the Nation.  Although the current staff may rarely stop to think about it, WFRC’s antecedents extend many years into the past and are intimately involved with the history of fisheries conservation in the Western United States. Thus, WFRC Director Lyman Thorsteinson asked me to write the story of this laboratory “while there are still a few of you around who were here for some of the earlier years” to document the rich history and culture of WFRC by recognizing its many famous scientists and their achievements. This historyalso would help document WFRC’s research ‘footprint’ in the Western United States and its strategic directions. Center Director Thorsteinson concluded that WFRC’s heritage told by an emeritus scientist also would add a texture of legitimacy based on personal knowledge that will all-to-soon be lost to the WFRC and to the USGS. The WFRC story is important for the future as well as for historical reasons. It describes how we got to the place we are today by documenting the origin, original mission, and our evolving role in response to the constantly changing technical information requirements of new environmental legislation and organizational decision-making.  The WFRC research program owes its existence to the policy requirements of Federal conservation legislation originating with the construction of Grand Coulee Dam in 1933. The research program was shaped by laws enacted in subsequent years such as the Federal Water Pollution Control Act (1972), National Environmental Policy Act (1973), Endangered Species Act (1974), and Northwest Power Planning Act (1980), to name only a few. The WFRC has not been constrained by direct management or regulatory responsibility for a particular fishery (such as providing sustainable catch limits data to a resource management structure). Thus, WFRC has been able to concentrate on scientific pursuits and information needs required by contemporary environmental legislation. Over the years, we have pioneered in several important areas of fisheries research including the diagnoses and control of diseases in economically important fish, effects of environmental alterations on the physiological quality and survival of Pacific salmon released from federal mitigation hatcheries, applications in biotelemetry, and the bioenergetics of predator-prey interactions in the Columbia River.  The WFRC of today is a widely distributed organization in the Western United States. Knowledge of the historical connections and accomplishments of our predecessors is important beyond the sense of pride and unity it instills in the WFRC family of today. For example, a discerning reader will note the evolution of WFRC’s research from a single disciplinary focus (early era—hatchery disease problems), to multiple disciplines (middle to late era—species, populations, habitats; threatened and endangered species), to the present era (multidisciplinary and with increasing process focus). For the benefit of the current WFRC staff, more emphasis has been placed on the early years rather than on the present day because people are quite naturally more familiar with the recent past than with the research done during the first decades of WFRC’s existence.  By every rational measure, the WFRC has evolved into a fisheries research organization well positioned to provide the biological information needed to support the continued conservation and management of our Nation’s living aquatic natural resources. The high standard of excellence that connects WFRC’s past to our present research program provides a firm foundation on which to base the work yet to be done.  In another 75 years, WFRC will undoubtedly be a very different place than it is today, but its evolution will be forever rooted in the story of the research and of the people related here.  More about the diverse fisheries research projects WFRC scientists are conducting today is available at WFRC’s website: http://wfrc.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip149","usgsCitation":"Wedemeyer, G.A., 2013, Seventy-five years of science—The U.S. Geological Survey’s Western Fisheries Research Center: U.S. Geological Survey General Information Product 149, vi, 46 p., https://doi.org/10.3133/gip149.","productDescription":"vi, 46 p.","numberOfPages":"54","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":272322,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip149.jpg"},{"id":272320,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/149/"},{"id":272321,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/149/pdf/gip149.pdf"}],"country":"United States","state":"Washington","city":"Seattle","otherGeospatial":"Western Fisheries Research Center","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.4,47.5 ], [ -122.4,47.7 ], [ -122.2,47.7 ], [ -122.2,47.5 ], [ -122.4,47.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51955816e4b0a933d82c4c8d","contributors":{"authors":[{"text":"Wedemeyer, Gary A.","contributorId":30668,"corporation":false,"usgs":true,"family":"Wedemeyer","given":"Gary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":478644,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045980,"text":"ofr20131104 - 2013 - Determination of selenium in fish from designated critical habitat in the Gunnison River, Colorado, March through October, 2012","interactions":[],"lastModifiedDate":"2013-05-16T11:40:33","indexId":"ofr20131104","displayToPublicDate":"2013-05-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1104","title":"Determination of selenium in fish from designated critical habitat in the Gunnison River, Colorado, March through October, 2012","docAbstract":"This report presents results for the summer 2012 sam-pling of muscle plugs from common carp (Cyprinus carpio), bonytail chub (Gila elegans), Colorado pikeminnow (Ptycho-cheilus lucius), and razorback suckers (Xyrauchen texanus) inhabiting critical habitat in the Gunnison River in western Colorado. Total selenium in fish muscle plugs was determinedby instrumental neutron activation analysis. Total selenium concentrations (range and mean ± standard deviation) in micrograms per gram dry weight were 6.0 to 10.7, 8.8 ± 1.3 for common carp; 2.9 to 8.7, 5.6 ± 2.4 for Colorado pikemin-now; and 1.4 to 7.3, 3.4 ± 2.7 for razorback sucker. The selenium concentration for one bonytail chub sample was 0.8 micrograms per gram dry weight. Selenium concentrations in muscle plugs from 1 Colorado pikeminnow and 12 common carp exceeded the 8 micrograms per gram dry weight toxicity guideline for selenium in fish muscle tissue.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131104","collaboration":"Prepared in collaboration with the U.S. Fish and Wildlife Service","usgsCitation":"May, T.W., and Walther, M., 2013, Determination of selenium in fish from designated critical habitat in the Gunnison River, Colorado, March through October, 2012: U.S. Geological Survey Open-File Report 2013-1104, iv, 6 p., https://doi.org/10.3133/ofr20131104.","productDescription":"iv, 6 p.","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-044355","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":272319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131104.gif"},{"id":272317,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1104/"},{"id":272318,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1104/ofr13_1104_web.pdf"}],"country":"United States","state":"Colorado","otherGeospatial":"Gunnison River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.58,38.51 ], [ -108.58,39.06 ], [ -107.62,39.06 ], [ -107.62,38.51 ], [ -108.58,38.51 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51955814e4b0a933d82c4c7d","contributors":{"authors":[{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":478642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walther, Michael J. mwalther@usgs.gov","contributorId":2852,"corporation":false,"usgs":true,"family":"Walther","given":"Michael J.","email":"mwalther@usgs.gov","affiliations":[],"preferred":true,"id":478643,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045979,"text":"ofr20131064 - 2013 - Geochemical results from stream-water and stream-sediment samples collected in Colorado and New Mexico","interactions":[],"lastModifiedDate":"2013-05-16T11:28:55","indexId":"ofr20131064","displayToPublicDate":"2013-05-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1064","title":"Geochemical results from stream-water and stream-sediment samples collected in Colorado and New Mexico","docAbstract":"Scientists from the U.S. Geological Survey are studying the relationship between watershed lithology and stream-water chemistry. As part of this effort, 60 stream-water samples and 43 corresponding stream-sediment samples were collected in 2010 and 2011 from locations in Colorado and New Mexico. Sample sites were selected from small to midsize watersheds composed of a high percentage of one rock type or geologic unit. Stream-water and stream-sediment samples were collected, processed, preserved, and analyzed in a consistent manner. This report releases geochemical data for this phase of the study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131064","usgsCitation":"Hageman, P.L., Todd, A., Smith, K.S., DeWitt, E., and Zeigler, M.P., 2013, Geochemical results from stream-water and stream-sediment samples collected in Colorado and New Mexico: U.S. Geological Survey Open-File Report 2013-1064, Report: iii, 11 p.; 6 Appendices, https://doi.org/10.3133/ofr20131064.","productDescription":"Report: iii, 11 p.; 6 Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":272316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131064.gif"},{"id":272310,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1064/Appendix%201_Bulk%20chemistry%20for%20stream%20sediments.xlsx"},{"id":272308,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1064/"},{"id":272311,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1064/Appendix%202_Stream%20water%20(FA).xlsx"},{"id":272312,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1064/Appendix%203_Stream%20water%20(RA).xlsx"},{"id":272309,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1064/OF13-1064.pdf"},{"id":272313,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1064/Appendix%204_QAQC%20Stream%20sediments.xlsx"},{"id":272314,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1064/Appendix%205_QAQC%20Stream%20water%20(FA).xlsx"},{"id":272315,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1064/Appendix%206_QAQC%20Stream%20water%20(RA).xlsx"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.06,32.81 ], [ -109.06,41.0 ], [ -102.79,41.0 ], [ -102.79,32.81 ], [ -109.06,32.81 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51955815e4b0a933d82c4c89","contributors":{"authors":[{"text":"Hageman, Philip L. 0000-0002-3440-2150 phageman@usgs.gov","orcid":"https://orcid.org/0000-0002-3440-2150","contributorId":811,"corporation":false,"usgs":true,"family":"Hageman","given":"Philip","email":"phageman@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":478638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todd, Andrew S.","contributorId":33162,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew S.","affiliations":[],"preferred":false,"id":478639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Kathleen S. 0000-0001-8547-9804 ksmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8547-9804","contributorId":182,"corporation":false,"usgs":true,"family":"Smith","given":"Kathleen","email":"ksmith@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":478637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeWitt, Ed","contributorId":65081,"corporation":false,"usgs":true,"family":"DeWitt","given":"Ed","affiliations":[],"preferred":false,"id":478640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zeigler, Mathew P.","contributorId":91006,"corporation":false,"usgs":true,"family":"Zeigler","given":"Mathew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":478641,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045978,"text":"sir20135095 - 2013 - Evaluation of the potential for hysteresis in index-velocity ratings for the Chicago Sanitary and Ship Canal near Lemont, Illinois","interactions":[],"lastModifiedDate":"2013-05-16T11:01:06","indexId":"sir20135095","displayToPublicDate":"2013-05-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5095","title":"Evaluation of the potential for hysteresis in index-velocity ratings for the Chicago Sanitary and Ship Canal near Lemont, Illinois","docAbstract":"The U.S. Geological Survey (USGS) is responsible for monitoring flows in the Chicago Sanitary and Ship Canal (CSSC) near Lemont, Illinois, as a part of the Lake Michigan Diversion Accounting overseen by the U.S. Army Corps of Engineers, Chicago District. Lake Michigan Diversion Accounting is mandated by a U.S. Supreme Court decree in order to monitor, and limit, the State of Illinois’ annual diversion of Great Lakes water through the manmade CSSC. Every 5 years, a technical review committee consisting of practicing engineers and academics reviews USGS streamgaging practices in the CSSC near Lemont, Illinois. The sixth technical review committee expressed concern that the index-velocity rating—the method used to estimate mean cross-sectional velocity from a measured index velocity—may be subject to hysteresis at this site because of the unique, unsteady hydraulics of the canal. Hysteresis in index-velocity ratings can occur at sites where the flow distribution in the channel varies significantly between the rising and falling limbs of the hydrograph for the same discharge. Presently, hysteresis in index-velocity ratings has been documented only in tidally affected sites. This report investigates whether hysteresis can occur at this nontidal site, and the conditions under which it is likely to occur, by using both a theoretical approach and a three-dimensional hydrodynamic model. The theoretical analysis investigated the conditions required for hysteresis in the index-velocity rating, and the modeling analysis focused on the effect of the timing of the inflows from the CSSC and the Cal-Sag Channel on the potential for hysteresis and whether highly resolved simulations of actual high-flow events show any evidence of hysteresis.   Based on both a theoretical analysis using observed historical data and an analysis using a three-dimensional hydrodynamic model, there is no conclusive evidence for the existence of hysteresis in the index-velocity rating at the USGS streamgage on the CSSC near Lemont, Illinois. Although the theoretical analysis indicated the possibility of hysteresis at this site, the hydrodynamic conditions required to generate hysteresis are not present at this site based on historical data. Ongoing streamgaging practices at this site will use the information in this report and include periodic assessment of the index-velocity rating for any signs of hysteresis that might result from future changes to the operation of this manmade canal.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135095","collaboration":"Prepared in cooperation with the Chicago District of the U.S. Army Corps of Engineers","usgsCitation":"Jackson, P., Sinha, S., Dutta, S., Johnson, K.K., Duncker, J.J., and Garcia, M., 2013, Evaluation of the potential for hysteresis in index-velocity ratings for the Chicago Sanitary and Ship Canal near Lemont, Illinois: U.S. Geological Survey Scientific Investigations Report 2013-5095, vi, 35 p., https://doi.org/10.3133/sir20135095.","productDescription":"vi, 35 p.","numberOfPages":"43","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":272307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135095.jpg"},{"id":272305,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5095/"},{"id":272306,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5095/pdf/sir2013-5095.pdf"}],"country":"United States","state":"Illinois","city":"Chicago","otherGeospatial":"Sanitary And Ship Canal","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.25,41.46 ], [ -88.25,42.25 ], [ -87.5,42.25 ], [ -87.5,41.46 ], [ -88.25,41.46 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51955815e4b0a933d82c4c85","contributors":{"authors":[{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","affiliations":[],"preferred":false,"id":478634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sinha, Sumit","contributorId":18656,"corporation":false,"usgs":true,"family":"Sinha","given":"Sumit","email":"","affiliations":[],"preferred":false,"id":478633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dutta, Som","contributorId":105200,"corporation":false,"usgs":true,"family":"Dutta","given":"Som","email":"","affiliations":[],"preferred":false,"id":478636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Kevin K. 0000-0003-2703-5994 johnsonk@usgs.gov","orcid":"https://orcid.org/0000-0003-2703-5994","contributorId":4220,"corporation":false,"usgs":true,"family":"Johnson","given":"Kevin","email":"johnsonk@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duncker, James J. 0000-0001-5464-7991 jduncker@usgs.gov","orcid":"https://orcid.org/0000-0001-5464-7991","contributorId":4316,"corporation":false,"usgs":true,"family":"Duncker","given":"James","email":"jduncker@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478632,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":478635,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70199975,"text":"70199975 - 2013 - Determination of low-level mercury in coralline aragonite by calcination-isotope dilution-inductively coupled plasma-mass spectrometry and its application to Diploria specimens from Castle Harbour, Bermuda","interactions":[],"lastModifiedDate":"2018-10-09T14:56:22","indexId":"70199975","displayToPublicDate":"2013-05-15T14:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Determination of low-level mercury in coralline aragonite by calcination-isotope dilution-inductively coupled plasma-mass spectrometry and its application to <i>Diploria</i> specimens from Castle Harbour, Bermuda","title":"Determination of low-level mercury in coralline aragonite by calcination-isotope dilution-inductively coupled plasma-mass spectrometry and its application to Diploria specimens from Castle Harbour, Bermuda","docAbstract":"<p id=\"sp0005\">We have developed a technique that combines a high temperature quartz furnace with inductively coupled plasma-mass spectrometry for the determination of Hg stored in the annual CaCO<sub>3</sub><span>&nbsp;</span>bands found in coral skeletons. Substantial matrix effects, presumably due to the discontinuous introduction of CO<sub>2</sub><span>&nbsp;</span>to the gas stream, were corrected for by simultaneously supplying a stream of argon containing highly enriched elemental<span>&nbsp;</span><sup>202</sup>Hg<sup>o</sup><span>&nbsp;</span>and observing peaks in the<span>&nbsp;</span><sup>200</sup>Hg/<sup>202</sup>Hg signal as the sample was decomposed. Primary signal calibration for Hg was achieved using gas injections from a saturated vapor standard. The absolute instrument detection limit was low (about 0.2&nbsp;fmol), with a practical limit of detection (3<i>σ</i><span>&nbsp;</span>of blanks) of 2&nbsp;fmol. Reproducibility of samples was (RSD) 15–27%.</p><p id=\"sp0010\">We applied this method to the determination of Hg concentrations in two colonies of<span>&nbsp;</span><i>Diploria labyrinthiformis</i><span>&nbsp;</span>collected from Castle Harbour, Bermuda, at a site about to be buried under the municipal waste landfill. The temporal reconstructions of Castle Harbour seawater Hg concentrations implied by the coral record show a decline throughout the period of record (1949–2008). The coral archived no apparent signal associated with waste disposal practices in the Harbour (bulk waste land-filling or, since 1994, disposal of waste incinerator ash), and mercury concentrations in the coral did not correlate to growth rate as assessed by linear extension. There was, however, a large and nearly exponential decrease in apparent Hg concentration in the Harbour which circumstantially implicates the dredging and/or landfilling operations associated with the construction of the airport on St. David’s Island.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2013.01.026","usgsCitation":"Lamborg, C.H., Swarr, G.J., Hughen, K.A., Jones, R.J., Birdwhistell, S., Furby, K., Murty, S.A., Prouty, N.G., and Tseng, C., 2013, Determination of low-level mercury in coralline aragonite by calcination-isotope dilution-inductively coupled plasma-mass spectrometry and its application to Diploria specimens from Castle Harbour, Bermuda: Geochimica et Cosmochimica Acta, v. 109, p. 27-37, https://doi.org/10.1016/j.gca.2013.01.026.","productDescription":"11 p.","startPage":"27","endPage":"37","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":358214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Castle Harbour, Bermuda","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -64.7317886352539,\n              32.3271767410611\n            ],\n            [\n              -64.63497161865234,\n              32.3271767410611\n            ],\n            [\n              -64.63497161865234,\n              32.394167471465536\n            ],\n            [\n              -64.7317886352539,\n              32.394167471465536\n            ],\n            [\n              -64.7317886352539,\n              32.3271767410611\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"109","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc03ab9e4b0fc368eb53b34","contributors":{"authors":[{"text":"Lamborg, Carl H.","contributorId":100307,"corporation":false,"usgs":true,"family":"Lamborg","given":"Carl","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":747554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarr, Gretchen J.","contributorId":22711,"corporation":false,"usgs":true,"family":"Swarr","given":"Gretchen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":747555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughen, Konrad A.","contributorId":52490,"corporation":false,"usgs":true,"family":"Hughen","given":"Konrad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":747556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Ross J.","contributorId":208522,"corporation":false,"usgs":false,"family":"Jones","given":"Ross","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":747557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birdwhistell, Scott","contributorId":208523,"corporation":false,"usgs":false,"family":"Birdwhistell","given":"Scott","email":"","affiliations":[],"preferred":false,"id":747558,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Furby, Kathryn","contributorId":208524,"corporation":false,"usgs":false,"family":"Furby","given":"Kathryn","email":"","affiliations":[],"preferred":false,"id":747559,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murty, Sujata A.","contributorId":208525,"corporation":false,"usgs":false,"family":"Murty","given":"Sujata","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":747560,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747561,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tseng, Chun-Mao","contributorId":208526,"corporation":false,"usgs":false,"family":"Tseng","given":"Chun-Mao","email":"","affiliations":[],"preferred":false,"id":747562,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70045964,"text":"ofr20121256 - 2013 - Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, water year 2012: Quality-assurance data and comparison to water-quality standards","interactions":[],"lastModifiedDate":"2015-10-27T18:57:02","indexId":"ofr20121256","displayToPublicDate":"2013-05-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1256","title":"Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, water year 2012: Quality-assurance data and comparison to water-quality standards","docAbstract":"<h1>Significant Findings</h1>\n<p>Air is entrained in water as it is flows through the spillways of dams, which causes an increase in the concentration of total dissolved gas in the water downstream from the dams. The elevated concentrations of total dissolved gas can adversely affect fish and other freshwater aquatic life. An analysis of total-dissolved-gas and water-temperature data collected at eight monitoring stations on the lower Columbia River in Oregon and Washington in 2012 indicated the following:</p>\n<ul>\n<li>During parts of the spill season of April&ndash;August 2012, hourly values of total dissolved gas (TDG) were larger than 115-percent saturation for the forebay stations (John Day navigation lock, The Dalles forebay, and Bonneville forebay) and the Camas station. Hourly values of total dissolved gas were larger than 120-percent saturation for the tailwater stations (John Day Dam tailwater, The Dalles tailwater, Cascade Island, and Warrendale).</li>\n<li>During parts of August and September 2012, hourly water temperatures were greater than 20&deg;C (degrees Celsius) at the eight stations on the lower Columbia River. According to the State of Oregon water-temperature standard, the 7-day average of the daily maximum temperature of the lower Columbia River should not exceed 20&deg;C; Washington regulations state that the 1-day maximum should not exceed 20&deg;C as a result of human activities.</li>\n<li>Of the 98 laboratory TDG checks that were performed on instruments after field deployment, all were within &plusmn; 0.7-percent saturation.</li>\n<li>All but 1 of the 83 field checks of TDG sensors with a secondary standard were within &plusmn; 1.0-percent saturation after 3&ndash;4 weeks of deployment in the river. All 88 of the field checks of barometric pressure were within &plusmn;1 millimeter of mercury of a primary standard, and all 85 water-temperature field checks were within &plusmn;0.2&deg;C of a secondary standard.</li>\n<li>For the eight monitoring stations in water year 2012, a total of 97.0 percent of the TDG data were received in real time and were within 1-percent saturation of the expected value on the ba-sis of calibration data, replicate quality-control measurements in the river, and comparison to ambient river conditions at adjacent sites. Data received from the Cascade Island site were only 77.8 percent complete because the equipment was destroyed by high water. The other stations ranged from 98.9 to 100.0 percent complete.</li>\n</ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121256","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Tanner, D.Q., Bragg, H., and Johnston, M.W., 2013, Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, water year 2012: Quality-assurance data and comparison to water-quality standards: U.S. Geological Survey Open-File Report 2012-1256, vi, 28 p., https://doi.org/10.3133/ofr20121256.","productDescription":"vi, 28 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":272284,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1256/pdf/ofr20121256.pdf","text":"Report","size":"2.65 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mattj@usgs.gov","contributorId":3066,"corporation":false,"usgs":true,"family":"Johnston","given":"Matthew","email":"mattj@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045329,"text":"70045329 - 2013 - Using diets to reveal overlap and egg predation among benthivorous fishes in Lake Michigan","interactions":[],"lastModifiedDate":"2013-05-16T10:12:56","indexId":"70045329","displayToPublicDate":"2013-05-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Using diets to reveal overlap and egg predation among benthivorous fishes in Lake Michigan","docAbstract":"Ecological stability in the Laurentian Great Lakes has been altered by nonindigenous species, such as the Round Goby Neogobius melanostomus and dreissenid mussels, and by declines in native amphipods Diporeia spp. We evaluated whether these changes could influence diet overlap between three benthivorous fishes (Slimy Sculpin Cottus cognatus, Deepwater Sculpin Myoxocephalus thompsonii, and Round Goby) and whether predation on eggs of native species was occurring. We examined diets of fish collected at depths of 69–128 m in Lake Michigan offshore of Frankfort and Muskegon, Michigan, and Two Rivers and Sturgeon Bay, Wisconsin, during January–May 2009 and 2010. Important prey (by dry weight proportion and by percent frequency of occurrence) for Slimy Sculpin were Mysis (0.34; 45%), Diporeia (0.16; 34%), and Limnocalanus macrurus (0.22; 68%); important prey for Deepwater Sculpin were Mysis (0.74; 92%) and Diporeia (0.16; 54%). Round Goby consumed mainly bivalves (i.e., dreissenids: 0.68; 95%) and Mysis (0.15; 37%). The two sculpin species consumed the eggs of Bloaters Coregonus hoyi (Slimy Sculpin: 0.04, 11%; Deepwater Sculpin: 0.02, 7%) and the eggs of Deepwater Sculpin (Slimy Sculpin: 0.03, 13%; Deepwater Sculpin: 0.05, 16%) during February–May at all sites. Round Goby also consumed eggs of these species but at lower levels (≤0.01; <1%). Diet overlap was identified between sculpin species at Frankfort and Sturgeon Bay, suggesting possible interspecific competition, but their diets did not overlap at Two Rivers; diet overlap was never observed between Round Goby and either sculpin species. Given that (1) diet overlap varied by site and (2) diet proportions varied spatially more than temporally, benthivores appear to be exhibiting localized responses to recent ecological changes. Overall, these results reveal that egg predation and interspecific competition could be important interactions to consider in future examinations of the population dynamics of these species or in ecosystem models that forecast how fisheries will respond to possible perturbations or management scenarios.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.756431","usgsCitation":"Mychek-Londer, J., Bunnell, D., Stott, W., Diana, J., French, J.R., and Chriscinske, M., 2013, Using diets to reveal overlap and egg predation among benthivorous fishes in Lake Michigan: Transactions of the American Fisheries Society, v. 142, no. 2, p. 492-504, https://doi.org/10.1080/00028487.2012.756431.","productDescription":"13 p.","startPage":"492","endPage":"504","ipdsId":"IP-042610","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473823,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00028487.2012.756431","text":"Publisher Index Page"},{"id":272302,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.756431"},{"id":272303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Lake Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90,0.0011111111111111111 ], [ -90,0.0011111111111111111 ], [ -84,0.0011111111111111111 ], [ -84,0.0011111111111111111 ], [ -90,0.0011111111111111111 ] ] ] } } ] }","volume":"142","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-19","publicationStatus":"PW","scienceBaseUri":"51955817e4b0a933d82c4c99","contributors":{"authors":[{"text":"Mychek-Londer, Justin G.","contributorId":64138,"corporation":false,"usgs":true,"family":"Mychek-Londer","given":"Justin G.","affiliations":[],"preferred":false,"id":477234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B.","contributorId":14360,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","affiliations":[],"preferred":false,"id":477232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stott, Wendylee","contributorId":8058,"corporation":false,"usgs":true,"family":"Stott","given":"Wendylee","affiliations":[],"preferred":false,"id":477231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diana, James S.","contributorId":52137,"corporation":false,"usgs":true,"family":"Diana","given":"James S.","affiliations":[],"preferred":false,"id":477233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"French, John R. P. III","contributorId":107635,"corporation":false,"usgs":true,"family":"French","given":"John","suffix":"III","email":"","middleInitial":"R. P.","affiliations":[],"preferred":false,"id":477236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chriscinske, Margret","contributorId":78683,"corporation":false,"usgs":true,"family":"Chriscinske","given":"Margret","affiliations":[],"preferred":false,"id":477235,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038819,"text":"70038819 - 2013 - Aquatic insect assemblages associated with subalpine stream segment types in relict glaciated headwaters","interactions":[],"lastModifiedDate":"2013-06-03T08:18:09","indexId":"70038819","displayToPublicDate":"2013-05-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2003,"text":"Insect Conservation and Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic insect assemblages associated with subalpine stream segment types in relict glaciated headwaters","docAbstract":"1. Aquatic habitats and biotic assemblages in subalpine headwaters are sensitive to climate and human impacts. Understanding biotic responses to such perturbations and the contribution of high-elevation headwaters to riverine biodiversity requires the assessment of assemblage composition among habitat types. We compared aquatic insect assemblages among headwater stream segment types in relict glaciated subalpine basins in Mt. Rainier National Park, Washington, USA. 2. Aquatic insects were collected during summer and autumn in three headwater basins. In each basin, three different stream segment types were sampled: colluvial groundwater sources, alluvial lake inlets, and cascade-bedrock lake outlets. Ward's hierarchical cluster analysis revealed high &beta; diversity in aquatic insect assemblages, and non-metric multidimensional scaling indicated that spatial and temporal patterns in assemblage composition differed among headwater stream segment types. Aquatic insect assemblages showed more fidelity to stream segment types than to individual basins, and the principal environmental variables associated with assemblage structure were temperature and substrate. 3. Indicator species analyses identified specific aquatic insects associated with each stream segment type. Several rare and potentially endemic aquatic insect taxa were present, including the recently described species, Lednia borealis (Baumann and Kondratieff). 4. Our results indicate that aquatic insect assemblages in relict glaciated subalpine headwaters were strongly differentiated among stream segment types. These results illustrate the contribution of headwaters to riverine biodiversity and emphasise the importance of these habitats for monitoring biotic responses to climate change. Monitoring biotic assemblages in high-elevation headwaters is needed to prevent the potential loss of unique and sensitive biota.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Insect Conservation and Diversity","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Royal Entomological Society","publisherLocation":"St Albans, U.K.","doi":"10.1111/j.1752-4598.2012.00210.x","usgsCitation":"Kubo, J.S., Torgersen, C., Bolton, S.M., Weekes, A.A., and Gara, R.I., 2013, Aquatic insect assemblages associated with subalpine stream segment types in relict glaciated headwaters: Insect Conservation and Diversity, v. 6, no. 3, p. 422-434, https://doi.org/10.1111/j.1752-4598.2012.00210.x.","productDescription":"13 p.","startPage":"422","endPage":"434","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":259092,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257840,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-4598.2012.00210.x","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","otherGeospatial":"Mt. Rainier National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.87,46.78 ], [ -121.87,46.93 ], [ -121.63,46.93 ], [ -121.63,46.78 ], [ -121.87,46.78 ] ] ] } } ] }","volume":"6","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-06-20","publicationStatus":"PW","scienceBaseUri":"5059ed0ee4b0c8380cd495d2","contributors":{"authors":[{"text":"Kubo, Joshua S.","contributorId":62456,"corporation":false,"usgs":true,"family":"Kubo","given":"Joshua","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":465009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":48143,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian E.","affiliations":[],"preferred":false,"id":465007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bolton, Susan M.","contributorId":76987,"corporation":false,"usgs":true,"family":"Bolton","given":"Susan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":465010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weekes, Anne A.","contributorId":11870,"corporation":false,"usgs":true,"family":"Weekes","given":"Anne","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":465006,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gara, Robert I.","contributorId":53223,"corporation":false,"usgs":true,"family":"Gara","given":"Robert","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":465008,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70260408,"text":"70260408 - 2013 - Washington's volcanoes: Know your sleeping giants","interactions":[],"lastModifiedDate":"2024-10-31T13:27:39.663445","indexId":"70260408","displayToPublicDate":"2013-05-14T08:21:54","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19167,"text":"Washington Trails","active":true,"publicationSubtype":{"id":10}},"title":"Washington's volcanoes: Know your sleeping giants","docAbstract":"<p><span>Northwest hikers frequently hand down rich traditions of favorite trails to younger generations. While these multi-generational traditions provide the illusion of landscape permanence, observant hikers often witness geologic change in progress—rockfall, water erosion, and glacier change. You might recognize that your views of mountain landscapes are a little bit different from the views of your grandparents, and what you see will likely be different from what your own grandchildren will eventually see.</span></p>","language":"English","publisher":"Washington Trails Association","usgsCitation":"Driedger, C.L., 2013, Washington's volcanoes: Know your sleeping giants: Washington Trails, HTML.","productDescription":"HTML","ipdsId":"IP-044701","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":463473,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.wta.org/news/signpost/washingtons-volcanoes-know-sleeping-giants"},{"id":463482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Cascade Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.84752275158664,\n              48.86080984244239\n            ],\n            [\n              -123.9272495150573,\n              48.86080984244239\n            ],\n            [\n              -123.9272495150573,\n              41.18440097951631\n            ],\n            [\n              -120.84752275158664,\n              41.18440097951631\n            ],\n            [\n              -120.84752275158664,\n              48.86080984244239\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Driedger, Carolyn L. 0000-0002-4011-4112","orcid":"https://orcid.org/0000-0002-4011-4112","contributorId":204744,"corporation":false,"usgs":true,"family":"Driedger","given":"Carolyn","email":"","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917564,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043750,"text":"70043750 - 2013 - Evapotranspiration and water balance of an anthropogenic coastal desert wetland: responses to fire, inflows and salinities","interactions":[],"lastModifiedDate":"2013-10-23T10:05:21","indexId":"70043750","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evapotranspiration and water balance of an anthropogenic coastal desert wetland: responses to fire, inflows and salinities","docAbstract":"Evapotranspiration (ET) and other water balance components were estimated for Cienega de Santa Clara, an anthropogenic brackish wetland in the delta of the Colorado River in Mexico. The marsh is in the Biosphere Reserve of the Upper Gulf of California and Delta of the Colorado River, and supports a high abundance and diversity of wildlife. Over 95% of its water supply originates as agricultural drain water from the USA, sent for disposal in Mexico. This study was conducted from 2009 to 2011, before, during and after a trial run of the Yuma Desalting Plant in the USA, which will divert water from the wetland and replace it with brine from the desalting operation. The goal was to estimate the main components in the water budget to be used in creating management scenarios for this marsh. We used a remote sensing algorithm to estimate ET from meteorological data and Enhanced Vegetation Index values from the Moderate Resolution Imaging Spectrometer (MODIS) sensors on the Terra satellite. ET estimates from the MODIS method were then compared to results from a mass balance of water and salt inflows and outflows over the study period. By both methods, mean annual ET estimates ranged from 2.6 to 3.0 mm d<sup>−1</sup>, or 50 to 60% of reference ET (ET<sub>o</sub>). Water entered at a mean salinity of 2.6 g L<sup>−1</sup> TDS and mean salinity in the wetland was 3.73 g L<sup>−1</sup> TDS over the 33 month study period. Over an annual cycle, 54% of inflows supported ET while the rest exited the marsh as outflows; however, in winter when ET was low, up to 90% of the inflows exited the marsh. An analysis of ET estimates over the years 2000–2011 showed that annual ET was proportional to the volume of inflows, but was also markedly stimulated by fires. Spring fires in 2006 and 2011 burned off accumulated thatch, resulting in vigorous growth of new leaves and a 30% increase in peak summer ET compared to non-fire years. Following fires, peak summer ET estimates were equal to ET<sub>o</sub>, while in non-fire years peak ET was equal to only one-half to two-thirds of ET<sub>o</sub>. Over annual cycles, estimated ET was always lower than ET<sub>o</sub>, because T. domingensis is dormant in winter and shades the water surface, reducing direct evaporation. Thus, ET of a Typha marsh is likely to be less than an open water surface under most conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2012.06.043","usgsCitation":"Glenn, E.P., Mexicano, L., Garcia-Hernandez, J., Nagler, P.L., Gomez-Sapiens, M.M., Tang, D., Lomeli, M.A., Ramírez-Hernández, J., and Zamora-Arroyo, F., 2013, Evapotranspiration and water balance of an anthropogenic coastal desert wetland: responses to fire, inflows and salinities: Ecological Engineering, v. 59, p. 176-184, https://doi.org/10.1016/j.ecoleng.2012.06.043.","productDescription":"9 p.","startPage":"176","endPage":"184","ipdsId":"IP-038206","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":272224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272223,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoleng.2012.06.043"}],"volume":"59","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5268efe3e4b0584cbe916856","contributors":{"authors":[{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":474201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mexicano, Lourdes","contributorId":91773,"corporation":false,"usgs":true,"family":"Mexicano","given":"Lourdes","email":"","affiliations":[],"preferred":false,"id":474207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garcia-Hernandez, Jaqueline","contributorId":37627,"corporation":false,"usgs":true,"family":"Garcia-Hernandez","given":"Jaqueline","email":"","affiliations":[],"preferred":false,"id":474203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":474199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gomez-Sapiens, Martha M.","contributorId":58172,"corporation":false,"usgs":true,"family":"Gomez-Sapiens","given":"Martha","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474204,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tang, Dawei","contributorId":17515,"corporation":false,"usgs":true,"family":"Tang","given":"Dawei","email":"","affiliations":[],"preferred":false,"id":474200,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lomeli, Marcelo A.","contributorId":60523,"corporation":false,"usgs":true,"family":"Lomeli","given":"Marcelo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474205,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ramírez-Hernández, Jorge","contributorId":24264,"corporation":false,"usgs":true,"family":"Ramírez-Hernández","given":"Jorge","affiliations":[],"preferred":false,"id":474202,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zamora-Arroyo, Francisco","contributorId":75834,"corporation":false,"usgs":true,"family":"Zamora-Arroyo","given":"Francisco","email":"","affiliations":[],"preferred":false,"id":474206,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70044658,"text":"70044658 - 2013 - Expert assessment of vulnerability of permafrost carbon to climate change","interactions":[],"lastModifiedDate":"2013-06-17T09:30:34","indexId":"70044658","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Expert assessment of vulnerability of permafrost carbon to climate change","docAbstract":"Approximately 1700 Pg of soil carbon (C) are stored in the northern circumpolar permafrost zone, more than twice as much C than in the atmosphere. The overall amount, rate, and form of C released to the atmosphere in a warmer world will influence the strength of the permafrost C feedback to climate change. We used a survey to quantify variability in the perception of the vulnerability of permafrost C to climate change. Experts were asked to provide quantitative estimates of permafrost change in response to four scenarios of warming. For the highest warming scenario (RCP 8.5), experts hypothesized that C release from permafrost zone soils could be 19–45 Pg C by 2040, 162–288 Pg C by 2100, and 381–616 Pg C by 2300 in CO<sub>2</sub> equivalent using 100-year CH<sub>4</sub> global warming potential (GWP). These values become 50 % larger using 20-year CH<sub>4</sub> GWP, with a third to a half of expected climate forcing coming from CH<sub>4</sub> even though CH<sub>4</sub> was only 2.3 % of the expected C release. Experts projected that two-thirds of this release could be avoided under the lowest warming scenario (RCP 2.6). These results highlight the potential risk from permafrost thaw and serve to frame a hypothesis about the magnitude of this feedback to climate change. However, the level of emissions proposed here are unlikely to overshadow the impact of fossil fuel burning, which will continue to be the main source of C emissions and climate forcing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10584-013-0730-7","usgsCitation":"Schuur, E., Abbott, B., Bowden, W., Brovkin, V., Camill, P., Canadell, J., Chanton, J., Chapin, F.S., Christensen, T., Ciais, P., Crosby, B., Czimczik, C., Grosse, G., Harden, J., Hayes, D., Hugelius, G., Jastrow, J., Jones, J.B., Kleinen, T., Koven, C., Krinner, G., Kuhry, P., Lawrence, D., McGuire, A., Natali, S.M., O'Donnell, J., Ping, C., Riley, W., Rinke, A., Romanovsky, V., Sannel, A.B., Schädel, C., Schaefer, K., Sky, J., Subin, Z., Tarnocai, C., Turetsky, M., Waldrop, M., Anthony, K., Wickland, K., Wilson, C.J., and Zimov, S., 2013, Expert assessment of vulnerability of permafrost carbon to climate change: Climatic Change, v. 119, no. 2, p. 359-374, https://doi.org/10.1007/s10584-013-0730-7.","productDescription":"16 p.","startPage":"359","endPage":"374","ipdsId":"IP-037710","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473827,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-013-0730-7","text":"Publisher Index Page"},{"id":272247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272246,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-013-0730-7"}],"volume":"119","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-03-26","publicationStatus":"PW","scienceBaseUri":"51c02feae4b0ee1529ed3cd4","contributors":{"authors":[{"text":"Schuur, E.A.G.","contributorId":106679,"corporation":false,"usgs":true,"family":"Schuur","given":"E.A.G.","affiliations":[],"preferred":false,"id":476177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abbott, B.W.","contributorId":23416,"corporation":false,"usgs":true,"family":"Abbott","given":"B.W.","email":"","affiliations":[],"preferred":false,"id":476144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowden, W.B.","contributorId":83237,"corporation":false,"usgs":true,"family":"Bowden","given":"W.B.","email":"","affiliations":[],"preferred":false,"id":476168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brovkin, V.","contributorId":94188,"corporation":false,"usgs":false,"family":"Brovkin","given":"V.","affiliations":[],"preferred":false,"id":476173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camill, P.","contributorId":78185,"corporation":false,"usgs":true,"family":"Camill","given":"P.","affiliations":[],"preferred":false,"id":476165,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Canadell, J.G.","contributorId":67319,"corporation":false,"usgs":true,"family":"Canadell","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":476161,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chanton, J. P.","contributorId":7429,"corporation":false,"usgs":false,"family":"Chanton","given":"J. P.","affiliations":[],"preferred":false,"id":476137,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chapin, F. S. 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P. 0000-0003-1829-7140","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":105104,"corporation":false,"usgs":true,"family":"Waldrop","given":"M. P.","affiliations":[],"preferred":false,"id":476176,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Anthony, K.M. Walter","contributorId":77443,"corporation":false,"usgs":true,"family":"Anthony","given":"K.M. Walter","affiliations":[],"preferred":false,"id":476164,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Wickland, K.P. 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":10786,"corporation":false,"usgs":true,"family":"Wickland","given":"K.P.","affiliations":[],"preferred":false,"id":476138,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Wilson, C. J.","contributorId":88242,"corporation":false,"usgs":true,"family":"Wilson","given":"C.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":476171,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Zimov, S.A.","contributorId":88115,"corporation":false,"usgs":true,"family":"Zimov","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":476170,"contributorType":{"id":1,"text":"Authors"},"rank":42}]}}
,{"id":70042353,"text":"70042353 - 2013 - Evaporative losses from soils covered by physical and different types of biological soil crusts","interactions":[],"lastModifiedDate":"2013-05-14T11:23:03","indexId":"70042353","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Evaporative losses from soils covered by physical and different types of biological soil crusts","docAbstract":"Evaporation of soil moisture is one of the most important processes affecting water availability in semiarid ecosystems. Biological soil crusts, which are widely distributed ground cover in these ecosystems, play a recognized role on water processes. Where they roughen surfaces, water residence time and thus infiltration can be greatly enhanced, whereas their ability to clog soil pores or cap the soil surface when wetted can greatly decrease infiltration rate, thus affecting evaporative losses. In this work, we compared evaporation in soils covered by physical crusts, biological crusts in different developmental stages and in the soils underlying the different biological crust types. Our results show that during the time of the highest evaporation (Day 1), there was no difference among any of the crust types or the soils underlying them. On Day 2, when soil moisture was moderately low (11%), evaporation was slightly higher in well-developed biological soil crusts than in physical or poorly developed biological soil crusts. However, crust removal did not cause significant changes in evaporation compared with the respective soil crust type. These results suggest that the small differences we observed in evaporation among crust types could be caused by differences in the properties of the soil underneath the biological crusts. At low soil moisture (<6%), there was no difference in evaporation among crust types or the underlying soils. Water loss for the complete evaporative cycle (from saturation to dry soil) was similar in both crusted and scraped soils. Therefore, we conclude that for the specific crust and soil types tested, the presence or the type of biological soil crust did not greatly modify evaporation with respect to physical crusts or scraped soils.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/hyp.8421","usgsCitation":"Chamizo, S., Canton, Y., Domingo, F., and Belnap, J., 2013, Evaporative losses from soils covered by physical and different types of biological soil crusts: Hydrological Processes, v. 27, no. 3, p. 324-332, https://doi.org/10.1002/hyp.8421.","productDescription":"9 p.","startPage":"324","endPage":"332","ipdsId":"IP-029706","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473824,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/hyp.8421","text":"External Repository"},{"id":272222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272221,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8421"}],"volume":"27","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-03-19","publicationStatus":"PW","scienceBaseUri":"53cd588ae4b0b290850f828e","contributors":{"authors":[{"text":"Chamizo, S.","contributorId":49260,"corporation":false,"usgs":true,"family":"Chamizo","given":"S.","affiliations":[],"preferred":false,"id":471367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Canton, Y.","contributorId":99868,"corporation":false,"usgs":true,"family":"Canton","given":"Y.","email":"","affiliations":[],"preferred":false,"id":471369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Domingo, F.","contributorId":91776,"corporation":false,"usgs":true,"family":"Domingo","given":"F.","email":"","affiliations":[],"preferred":false,"id":471368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, J. 0000-0001-7471-2279","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":23872,"corporation":false,"usgs":true,"family":"Belnap","given":"J.","affiliations":[],"preferred":false,"id":471366,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044991,"text":"70044991 - 2013 - Estimating instream constituent loads using replicate synoptic sampling, Peru Creek, Colorado","interactions":[],"lastModifiedDate":"2017-01-17T10:32:25","indexId":"70044991","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating instream constituent loads using replicate synoptic sampling, Peru Creek, Colorado","docAbstract":"<p id=\"sp0075\">The synoptic mass balance approach is often used to evaluate constituent mass loading in streams affected by mine drainage. Spatial profiles of constituent mass load are used to identify sources of contamination and prioritize sites for remedial action. This paper presents a field scale study in which replicate synoptic sampling campaigns are used to quantify the aggregate uncertainty in constituent load that arises from (1) laboratory analyses of constituent and tracer concentrations, (2) field sampling error, and (3) temporal variation in concentration from diel constituent cycles and/or source variation. Consideration of these factors represents an advance in the application of the synoptic mass balance approach by placing error bars on estimates of constituent load and by allowing all sources of uncertainty to be quantified in aggregate; previous applications of the approach have provided only point estimates of constituent load and considered only a subset of the possible errors. Given estimates of aggregate uncertainty, site specific data and expert judgement may be used to qualitatively assess the contributions of individual factors to uncertainty. This assessment can be used to guide the collection of additional data to reduce uncertainty. Further, error bars provided by the replicate approach can aid the investigator in the interpretation of spatial loading profiles and the subsequent identification of constituent source areas within the watershed.</p><p id=\"sp0080\">The replicate sampling approach is applied to Peru Creek, a stream receiving acidic, metal-rich effluent from the Pennsylvania Mine. Other sources of acidity and metals within the study reach include a wetland area adjacent to the mine and tributary inflow from Cinnamon Gulch. Analysis of data collected under low-flow conditions indicates that concentrations of Al, Cd, Cu, Fe, Mn, Pb, and Zn in Peru Creek exceed aquatic life standards. Constituent loading within the study reach is dominated by effluent from the Pennsylvania Mine, with over 50% of the Cd, Cu, Fe, Mn, and Zn loads attributable to a collapsed adit near the top of the study reach. These estimates of mass load may underestimate the effect of the Pennsylvania Mine as leakage from underground mine workings may contribute to metal loads that are currently attributed to the wetland area. This potential leakage confounds the evaluation of remedial options and additional research is needed to determine the magnitude and location of the leakage.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.02.031","usgsCitation":"Runkel, R.L., Walton-Day, K., Kimball, B.A., Verplanck, P.L., and Nimick, D.A., 2013, Estimating instream constituent loads using replicate synoptic sampling, Peru Creek, Colorado: Journal of Hydrology, v. 489, p. 26-41, https://doi.org/10.1016/j.jhydrol.2013.02.031.","productDescription":"16 p.","startPage":"26","endPage":"41","ipdsId":"IP-044174","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":272199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Peru Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.8287239074707,\n              39.59451160220633\n            ],\n            [\n              -105.8287239074707,\n              39.61144109709137\n            ],\n            [\n              -105.80074310302734,\n              39.61144109709137\n            ],\n            [\n              -105.80074310302734,\n              39.59451160220633\n            ],\n            [\n              -105.8287239074707,\n              39.59451160220633\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"489","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5804e4b0b290850f7d13","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walton-Day, Katherine 0000-0002-9146-6193","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":68339,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","affiliations":[],"preferred":false,"id":476579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nimick, David A. dnimick@usgs.gov","contributorId":421,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":476575,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042681,"text":"70042681 - 2013 - Factors influencing storm-generated suspended-sediment concentrations and loads in four basins of contrasting land use, humid-tropical Puerto Rico","interactions":[],"lastModifiedDate":"2013-05-14T15:28:37","indexId":"70042681","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1198,"text":"Catena","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing storm-generated suspended-sediment concentrations and loads in four basins of contrasting land use, humid-tropical Puerto Rico","docAbstract":"The significant characteristics controlling the variability in storm-generated suspended-sediment loads and concentrations were analyzed for four basins of differing land use (forest, pasture, cropland, and urbanizing) in humid-tropical Puerto Rico. Statistical analysis involved stepwise regression on factor scores. The explanatory variables were attributes of flow, hydrograph peaks, and rainfall, categorized into 5 flow periods: (1) the current storm hydrograph, (2) the flow and rainfall since the previous storm event, (3) the previous storm event, (4) 2nd previous storm event, and (5) the 3rd previous storm event. The response variables (storm generated sediment loads and concentrations) were analyzed for three portions of the storm hydrograph: (1) the entire storm, (2) the rising limb, and (3) the recessional limb. Hysteresis differences in sediment concentration between the rising and falling limb were also analyzed using these explanatory variables.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Catena","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.catena.2012.10.018","usgsCitation":"Gellis, A., 2013, Factors influencing storm-generated suspended-sediment concentrations and loads in four basins of contrasting land use, humid-tropical Puerto Rico: Catena, v. 104, p. 39-57, https://doi.org/10.1016/j.catena.2012.10.018.","productDescription":"9 p.","startPage":"39","endPage":"57","ipdsId":"IP-032072","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":272268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272267,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.catena.2012.10.018"}],"country":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.95,17.88 ], [ -67.95,18.52 ], [ -65.22,18.52 ], [ -65.22,17.88 ], [ -67.95,17.88 ] ] ] } } ] }","volume":"104","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd58ffe4b0b290850f872a","contributors":{"authors":[{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":1709,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen C.","email":"agellis@usgs.gov","affiliations":[{"id":375,"text":"Maryland, Delaware, and the District of Columbia Water Science Center","active":false,"usgs":true}],"preferred":false,"id":472045,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045131,"text":"70045131 - 2013 - Field measurement of basal forces generated by erosive debris flows","interactions":[],"lastModifiedDate":"2013-07-29T09:25:19","indexId":"70045131","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Field measurement of basal forces generated by erosive debris flows","docAbstract":"It has been proposed that debris flows cut bedrock valleys in steeplands worldwide, but field measurements needed to constrain mechanistic models of this process remain sparse due to the difficulty of instrumenting natural flows. Here we present and analyze measurements made using an automated sensor network, erosion bolts, and a 15.24 cm by 15.24 cm force plate installed in the bedrock channel floor of a steep catchment. These measurements allow us to quantify the distribution of basal forces from natural debris‒flow events that incised bedrock. Over the 4 year monitoring period, 11 debris‒flow events scoured the bedrock channel floor. No clear water flows were observed. Measurements of erosion bolts at the beginning and end of the study indicated that the bedrock channel floor was lowered by 36 to 64 mm. The basal force during these erosive debris‒flow events had a large‒magnitude (up to 21 kN, which was approximately 50 times larger than the concurrent time‒averaged mean force), high‒frequency (greater than 1 Hz) fluctuating component. We interpret these fluctuations as flow particles impacting the bed. The resulting variability in force magnitude increased linearly with the time‒averaged mean basal force. Probability density functions of basal normal forces were consistent with a generalized Pareto distribution, rather than the exponential distribution that is commonly found in experimental and simulated monodispersed granular flows and which has a lower probability of large forces. When the bed sediment thickness covering the force plate was greater than ~ 20 times the median bed sediment grain size, no significant fluctuations about the time‒averaged mean force were measured, indicating that a thin layer of sediment (~ 5 cm in the monitored cases) can effectively shield the subjacent bed from erosive impacts. Coarse‒grained granular surges and water‒rich, intersurge flow had very similar basal force distributions despite differences in appearance and bulk‒flow density. These results demonstrate that debris flows can have strong control on rates of steepland evolution and contribute to a foundation needed for modeling debris‒flow incision stochastically.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrf.20041","usgsCitation":"McCoy, S., Tucker, G., Kean, J., and Coe, J.A., 2013, Field measurement of basal forces generated by erosive debris flows: Journal of Geophysical Research F: Earth Surface, v. 118, no. 2, p. 589-602, https://doi.org/10.1002/jgrf.20041.","productDescription":"14 p.","startPage":"589","endPage":"602","ipdsId":"IP-041443","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473825,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrf.20041","text":"Publisher Index Page"},{"id":272278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272277,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrf.20041"}],"volume":"118","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-05-14","publicationStatus":"PW","scienceBaseUri":"51f78ee6e4b02e26443a9378","contributors":{"authors":[{"text":"McCoy, S.W.","contributorId":74608,"corporation":false,"usgs":true,"family":"McCoy","given":"S.W.","affiliations":[],"preferred":false,"id":476904,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, G.E.","contributorId":102992,"corporation":false,"usgs":true,"family":"Tucker","given":"G.E.","affiliations":[],"preferred":false,"id":476905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, J. W. 0000-0003-3089-0369","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":71679,"corporation":false,"usgs":true,"family":"Kean","given":"J. W.","affiliations":[],"preferred":false,"id":476903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coe, J. A.","contributorId":8867,"corporation":false,"usgs":true,"family":"Coe","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476902,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043361,"text":"70043361 - 2013 - Estimating irrigation water demand using an improved method and optimizing reservoir operation for water supply and hydropower generation: a case study of the Xinfengjiang reservoir in southern China","interactions":[],"lastModifiedDate":"2013-05-14T09:17:57","indexId":"70043361","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":680,"text":"Agricultural Water Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating irrigation water demand using an improved method and optimizing reservoir operation for water supply and hydropower generation: a case study of the Xinfengjiang reservoir in southern China","docAbstract":"The ever-increasing demand for water due to growth of population and socioeconomic development in the past several decades has posed a worldwide threat to water supply security and to the environmental health of rivers. This study aims to derive reservoir operating rules through establishing a multi-objective optimization model for the Xinfengjiang (XFJ) reservoir in the East River Basin in southern China to minimize water supply deficit and maximize hydropower generation. Additionally, to enhance the estimation of irrigation water demand from the downstream agricultural area of the XFJ reservoir, a conventional method for calculating crop water demand is improved using hydrological model simulation results. Although the optimal reservoir operating rules are derived for the XFJ reservoir with three priority scenarios (water supply only, hydropower generation only, and equal priority), the river environmental health is set as the basic demand no matter which scenario is adopted. The results show that the new rules derived under the three scenarios can improve the reservoir operation for both water supply and hydropower generation when comparing to the historical performance. Moreover, these alternative reservoir operating policies provide the flexibility for the reservoir authority to choose the most appropriate one. Although changing the current operating rules may influence its hydropower-oriented functions, the new rules can be significant to cope with the increasingly prominent water shortage and degradation in the aquatic environment. Overall, our results and methods (improved estimation of irrigation water demand and formulation of the reservoir optimization model) can be useful for local watershed managers and valuable for other researchers worldwide.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Agricultural Water Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.agwat.2012.10.016","usgsCitation":"Wu, Y., and Chen, J., 2013, Estimating irrigation water demand using an improved method and optimizing reservoir operation for water supply and hydropower generation: a case study of the Xinfengjiang reservoir in southern China: Agricultural Water Management, v. 116, p. 110-121, https://doi.org/10.1016/j.agwat.2012.10.016.","productDescription":"12 p.","startPage":"110","endPage":"121","ipdsId":"IP-041608","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":272201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272200,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.agwat.2012.10.016"}],"country":"China","otherGeospatial":"Xinfengjiang Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 114.3728,23.7144 ], [ 114.3728,24.1164 ], [ 114.7686,24.1164 ], [ 114.7686,23.7144 ], [ 114.3728,23.7144 ] ] ] } } ] }","volume":"116","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5804e4b0b290850f7d16","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Ji","contributorId":101960,"corporation":false,"usgs":true,"family":"Chen","given":"Ji","email":"","affiliations":[],"preferred":false,"id":473462,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045330,"text":"70045330 - 2013 - Fall diel diet composition of American eel (Anguilla rostrata) in a tributary of the Hudson River, New York, USA","interactions":[],"lastModifiedDate":"2013-05-14T15:52:30","indexId":"70045330","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fall diel diet composition of American eel (Anguilla rostrata) in a tributary of the Hudson River, New York, USA","docAbstract":"American eel (Anguilla rostrata), a once common species, is now in decline throughout much of its native range in North America. There is little information on the role of American eel in river food webs. A better understanding of the diet and ecological role of American eel will help in the conservation of this important species. During autumn 2009, eel and aquatic invertebrate samples were collected from Hannacroix Creek, a tributary of the Hudson River, in Albany and Greene counties, New York, USA. Eel diet was analyzed by the eel size and time period (day or night). A high proportion of eel stomachs were empty (73%). Eel diets varied among size classes and day and night feeding periods (p = 0.001). Diet overlap was significant between small and medium eels caught both during the day (α = 0.71) and at night (α = 0.84). Nocturnal diet and nocturnal invertebrate samples were similar (α = 0.65), indicating a preference for bottom feeding during the night. Mayfly nymphs were the major prey consumed in each period by all size classes. Among eels that fed, night-feeding eels had the greatest stomach weight (as a percent of total body weight). The swim-bladder parasite, Anguillicoloides crassus, was also observed in eels of all size classes with nearly 50% afflicted.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Freshwater Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2012.706755","usgsCitation":"Waldt, E.M., Abbett, R., Johnson, J.H., Dittman, D.E., and McKenna, J., 2013, Fall diel diet composition of American eel (Anguilla rostrata) in a tributary of the Hudson River, New York, USA: Journal of Freshwater Ecology, v. 28, no. 1, p. 91-98, https://doi.org/10.1080/02705060.2012.706755.","productDescription":"8 p.","startPage":"91","endPage":"98","ipdsId":"IP-038764","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473828,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2012.706755","text":"Publisher Index Page"},{"id":272272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272271,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02705060.2012.706755"}],"country":"United States","state":"New York","otherGeospatial":"Hudson River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.8,40.5 ], [ -79.8,45.0 ], [ -72.0,45.0 ], [ -72.0,40.5 ], [ -79.8,40.5 ] ] ] } } ] }","volume":"28","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5905e4b0b290850f8771","contributors":{"authors":[{"text":"Waldt, Emily M. ewaldt@usgs.gov","contributorId":4358,"corporation":false,"usgs":true,"family":"Waldt","given":"Emily","email":"ewaldt@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":477239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abbett, Ross 0000-0001-6276-5541 rabbett@usgs.gov","orcid":"https://orcid.org/0000-0001-6276-5541","contributorId":4359,"corporation":false,"usgs":true,"family":"Abbett","given":"Ross","email":"rabbett@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":477240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":477237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dittman, Dawn E. 0000-0002-0711-3732 ddittman@usgs.gov","orcid":"https://orcid.org/0000-0002-0711-3732","contributorId":2762,"corporation":false,"usgs":true,"family":"Dittman","given":"Dawn","email":"ddittman@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":477238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenna, James E.","contributorId":9217,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","affiliations":[],"preferred":false,"id":477241,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045817,"text":"70045817 - 2013 - Newly documented host fishes for the eastern elliptio mussel (Elliptio complanata)","interactions":[],"lastModifiedDate":"2020-09-23T13:19:07.809685","indexId":"70045817","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","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}},"displayTitle":"Newly documented host fishes for the eastern elliptio mussel (<i>Elliptio complanata</i>)","title":"Newly documented host fishes for the eastern elliptio mussel (Elliptio complanata)","docAbstract":"<p><span>The eastern elliptio&nbsp;</span><i>Elliptio complanata</i><span>&nbsp;is a common, abundant, and ecologically important freshwater mussel that occurs throughout the Atlantic Slope drainage in the United States and Canada. Previous research has shown&nbsp;</span><i>E. complanata</i><span>&nbsp;glochidia to be host fish generalists, parasitizing yellow perch&nbsp;</span><i>Perca flavescens</i><span>, banded killifish&nbsp;</span><i>Fundulus diaphanus</i><span>, banded sculpin&nbsp;</span><i>Cottus carolinae</i><span>, and seven centrarchid species. Past laboratory studies have been conducted in the Midwest; however, glochidia used in these studies were obtained from adult mussels in the Great Lakes or St. Lawrence River basins, or glochidia sources were not reported. The objective of this study was to identify host fishes for&nbsp;</span><i>E. complanata</i><span>&nbsp;from streams in the Mid-Atlantic region. We used artificial laboratory infections to test host suitability of 38 fish and 2 amphibian species with&nbsp;</span><i>E. complanata</i><span>&nbsp;glochidia from the Chesapeake Bay drainage. Glochidia successfully metamorphosed into juvenile mussels on five fish species: American eel&nbsp;</span><i>Anguilla rostrata</i><span>, brook trout&nbsp;</span><i>Salvelinus fontinalis</i><span>, lake trout&nbsp;</span><i>Salvelinus namaycush</i><span>, mottled sculpin&nbsp;</span><i>Cottus bairdii</i><span>, and slimy sculpin&nbsp;</span><i>Cottus cognatus</i><span>. American eel was the most effective host, yielding the highest overall metamorphosis success (percentage of attached glochidia that transformed into juvenile mussels; ≥0.90) and producing 13.2 juveniles per fish overall. No juvenile&nbsp;</span><i>E. complanata</i><span>&nbsp;metamorphosed on other fish or amphibian species tested, including many previously identified host fishes that appear in the literature. Reasons for discrepancies in published host fish could include geographic variation in host use across the species' range, differences in host use between lentic and lotic populations, or poorly resolved taxonomy within the genus&nbsp;</span><i>Elliptio</i><span>.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/102012-JFWM-094","usgsCitation":"Lellis, W.A., St. John White, B., Cole, J.C., Johnson, C.S., Devers, J.L., van Snik-Gray, E., and Galbraith, H.S., 2013, Newly documented host fishes for the eastern elliptio mussel (Elliptio complanata): Journal of Fish and Wildlife Management, v. 4, no. 1, p. 75-85, https://doi.org/10.3996/102012-JFWM-094.","productDescription":"11 p.","startPage":"75","endPage":"85","ipdsId":"IP-044908","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/102012-jfwm-094","text":"Publisher Index Page"},{"id":272264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02ff3e4b0ee1529ed3d30","contributors":{"authors":[{"text":"Lellis, William A. 0000-0001-7806-2904 wlellis@usgs.gov","orcid":"https://orcid.org/0000-0001-7806-2904","contributorId":2369,"corporation":false,"usgs":true,"family":"Lellis","given":"William","email":"wlellis@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":799448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"St. John White, Barbara 0000-0001-8131-0534 bwhite@usgs.gov","orcid":"https://orcid.org/0000-0001-8131-0534","contributorId":141183,"corporation":false,"usgs":false,"family":"St. John White","given":"Barbara","email":"bwhite@usgs.gov","affiliations":[],"preferred":false,"id":799447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, Jeffrey C. 0000-0002-2477-7231 jccole@usgs.gov","orcid":"https://orcid.org/0000-0002-2477-7231","contributorId":5585,"corporation":false,"usgs":true,"family":"Cole","given":"Jeffrey","email":"jccole@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":799449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Connie S.","contributorId":241063,"corporation":false,"usgs":false,"family":"Johnson","given":"Connie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":799450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Devers, Julie L.","contributorId":218866,"corporation":false,"usgs":false,"family":"Devers","given":"Julie","email":"","middleInitial":"L.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":799451,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Snik-Gray, Ellen","contributorId":241064,"corporation":false,"usgs":false,"family":"van Snik-Gray","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":799452,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":478386,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70045946,"text":"70045946 - 2013 - Optimizing stream water mercury sampling for calculation of fish bioaccumulation factors","interactions":[],"lastModifiedDate":"2013-06-17T09:35:00","indexId":"70045946","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing stream water mercury sampling for calculation of fish bioaccumulation factors","docAbstract":"Mercury (Hg) bioaccumulation factors (BAFs) for game fishes are widely employed for monitoring, assessment, and regulatory purposes. Mercury BAFs are calculated as the fish Hg concentration (Hg<sub>fish</sub>) divided by the water Hg concentration (Hg<sub>water</sub>) and, consequently, are sensitive to sampling and analysis artifacts for fish and water. We evaluated the influence of water sample timing, filtration, and mercury species on the modeled relation between game fish and water mercury concentrations across 11 streams and rivers in five states in order to identify optimum Hg<sub>water</sub> sampling approaches. Each model included fish trophic position, to account for a wide range of species collected among sites, and flow-weighted Hg<sub>water</sub> estimates. Models were evaluated for parsimony, using Akaike’s Information Criterion. Better models included filtered water methylmercury (FMeHg) or unfiltered water methylmercury (UMeHg), whereas filtered total mercury did not meet parsimony requirements. Models including mean annual FMeHg were superior to those with mean FMeHg calculated over shorter time periods throughout the year. FMeHg models including metrics of high concentrations (80th percentile and above) observed during the year performed better, in general. These higher concentrations occurred most often during the growing season at all sites. Streamflow was significantly related to the probability of achieving higher concentrations during the growing season at six sites, but the direction of influence varied among sites. These findings indicate that streamwater Hg collection can be optimized by evaluating site-specific FMeHg - UMeHg relations, intra-annual temporal variation in their concentrations, and streamflow-Hg dynamics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/es303758e","usgsCitation":"Riva-Murray, K., Bradley, P.M., Journey, C.A., Brigham, M.E., Scudder Eikenberry, B.C., Knightes, C., and Button, D.T., 2013, Optimizing stream water mercury sampling for calculation of fish bioaccumulation factors: Environmental Science & Technology, v. 47, no. 11, p. 5904-5912, https://doi.org/10.1021/es303758e.","productDescription":"9 p.","startPage":"5904","endPage":"5912","ipdsId":"IP-041712","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":473826,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es303758e","text":"Publisher Index Page"},{"id":272251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273767,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es303758e"}],"volume":"47","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-05-13","publicationStatus":"PW","scienceBaseUri":"51c02ff3e4b0ee1529ed3d38","chorus":{"doi":"10.1021/es303758e","url":"http://dx.doi.org/10.1021/es303758e","publisher":"American Chemical Society (ACS)","authors":"Riva-Murray Karen, Bradley Paul M., Scudder Eikenberry Barbara C., Knightes Christopher D., Journey Celeste A., Brigham Mark E., Button Daniel T.","journalName":"Environmental Science & Technology","publicationDate":"6/4/2013","auditedOn":"3/4/2016","publiclyAccessibleDate":"1/1/1999"},"contributors":{"authors":[{"text":"Riva-Murray, Karen","contributorId":85650,"corporation":false,"usgs":true,"family":"Riva-Murray","given":"Karen","affiliations":[],"preferred":false,"id":478589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478586,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brigham, Mark E. 0000-0001-7412-6800 mbrigham@usgs.gov","orcid":"https://orcid.org/0000-0001-7412-6800","contributorId":1840,"corporation":false,"usgs":true,"family":"Brigham","given":"Mark","email":"mbrigham@usgs.gov","middleInitial":"E.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scudder Eikenberry, Barbara C.","contributorId":63771,"corporation":false,"usgs":true,"family":"Scudder Eikenberry","given":"Barbara","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":478588,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knightes, Christopher","contributorId":52476,"corporation":false,"usgs":true,"family":"Knightes","given":"Christopher","affiliations":[],"preferred":false,"id":478587,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Button, Daniel T. 0000-0002-7479-884X dtbutton@usgs.gov","orcid":"https://orcid.org/0000-0002-7479-884X","contributorId":2084,"corporation":false,"usgs":true,"family":"Button","given":"Daniel","email":"dtbutton@usgs.gov","middleInitial":"T.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478585,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70045953,"text":"ofr20131110 - 2013 - Capture of white sturgeon larvae downstream of The Dalles Dam, Columbia River, Oregon and Washington, 2012","interactions":[],"lastModifiedDate":"2016-05-17T09:05:40","indexId":"ofr20131110","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1110","title":"Capture of white sturgeon larvae downstream of The Dalles Dam, Columbia River, Oregon and Washington, 2012","docAbstract":"<p><span>Wild-spawned white sturgeon (</span><i>Acipenser transmontanus</i><span>) larvae captured and reared in aquaculture facilities and subsequently released, are increasingly being used in sturgeon restoration programs in the Columbia River Basin. A reconnaissance study was conducted to determine where to deploy nets to capture white sturgeon larvae downstream of a known white sturgeon spawning area. As a result of the study, 103 white sturgeon larvae and 5 newly hatched free-swimming embryos were captured at 3 of 5 reconnaissance netting sites. The netting, conducted downstream of The Dalles Dam on the Columbia River during June 25&ndash;29, 2012, provided information for potentially implementing full-scale collection efforts of large numbers of larvae for rearing in aquaculture facilities and for subsequent release at a larger size in white sturgeon restoration programs.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131110","collaboration":"Prepared in cooperation with the Chelan County Public Utility District","usgsCitation":"Parsley, M.J., and Kofoot, E., 2013, Capture of white sturgeon larvae downstream of The Dalles Dam, Columbia River, Oregon and Washington, 2012: U.S. Geological Survey Open-File Report 2013-1110, iv, 14 p., https://doi.org/10.3133/ofr20131110.","productDescription":"iv, 14 p.","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":272262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131110.jpg"},{"id":272260,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1110/"},{"id":272261,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1110/pdf/ofr20131110.pdf","text":"Report","size":"700 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River, Dalles Dam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.08,46.13 ], [ -124.08,46.34 ], [ -123.48,46.34 ], [ -123.48,46.13 ], [ -124.08,46.13 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5026e4b0b290850f3296","contributors":{"authors":[{"text":"Parsley, Michael J. 0000-0003-0097-6364 mparsley@usgs.gov","orcid":"https://orcid.org/0000-0003-0097-6364","contributorId":2608,"corporation":false,"usgs":true,"family":"Parsley","given":"Michael","email":"mparsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":478596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kofoot, Eric","contributorId":9939,"corporation":false,"usgs":true,"family":"Kofoot","given":"Eric","affiliations":[],"preferred":false,"id":478597,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045516,"text":"70045516 - 2013 - Fat or lean: adjustment of endogenous energy stores to predictable and unpredictable changes in allostatic load","interactions":[],"lastModifiedDate":"2013-05-14T16:15:51","indexId":"70045516","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fat or lean: adjustment of endogenous energy stores to predictable and unpredictable changes in allostatic load","docAbstract":"1. The ability to store energy endogenously is an important ecological mechanism that allows animals to buffer predictable and unpredictable variation in allostatic load. The secretion of glucocorticoids, which reflects changes in allostatic load, is suggested to play a major role in the adjustment of endogenous stores to these varying conditions.\n2. Although crucially important, the relationship between allostatic load and energy stores remains largely unexplored. Two contrasting hypotheses describe how stores may be adjusted: animals may use low allostatic loads to increase stores to a maximum possible (‘fat and fit’), or they can attain a lean physique due to fitness advantages of a low body mass (‘lean and fit’).\n3. We compiled observational and experimental data available for a long-lived seabird to examine the relationship between glucocorticoids and stored energy at two life history stages (incubation and chick-rearing). Data were collected across multiple years and colonies in the North Pacific, thereby reflecting the wide range of environmental conditions birds' encounter in the marine environment. During experimental manipulations, allostatic load was minimized by supplementing food to free-living birds.\n4. We found that the relationship between allostatic load and energy stores was clearly curvilinear at both life history stages. Observational data suggested that energy stores remained relatively stable under low allostatic load and decreased under high loads. Experimental data showed that birds did not maximize energy stores under favourable conditions but maintained energy stores below a physiologically attainable level.\n5. Energy stores remained consistently lower during chick-rearing compared to incubation across the wide range of variations in allostatic load suggesting that stage-specific trade-offs limit the accumulation of energy during favourable environmental conditions. Secretion of glucocorticoids did not appear to mediate this shift in energy stores between the life history stages.\n6. Overall, results of this study support the ‘lean and fit’ hypothesis. We conclude that increased energy stores may not necessarily reflect better environmental conditions experienced by individuals or predict their higher fitness. A major advantage of adopting a lean physique when environmental conditions allow may be the avoidance of additional energetic costs for moving a heavy body. In breeding seabirds, this advantage may be more important during chick-rearing. In the focal species, the secretion of glucocorticoids might be involved in regulation of energy stores within a life history stage but does not appear to mediate an adaptive shift in energy stores between the incubating and chick-rearing stages of reproduction.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Functional Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2435.2012.02058.x","usgsCitation":"Schultner, J., Kitaysky, A.S., Welcker, J., and Hatch, S., 2013, Fat or lean: adjustment of endogenous energy stores to predictable and unpredictable changes in allostatic load: Functional Ecology, v. 27, no. 1, p. 45-55, https://doi.org/10.1111/j.1365-2435.2012.02058.x.","productDescription":"11 p.","startPage":"45","endPage":"55","ipdsId":"IP-042338","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":499925,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/fat-or-lean-adjustment-of-endogenous-energy-stores-to-predictable","text":"External Repository"},{"id":272276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272275,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2435.2012.02058.x"}],"volume":"27","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-10-08","publicationStatus":"PW","scienceBaseUri":"53cd590de4b0b290850f87c3","contributors":{"authors":[{"text":"Schultner, Jannik","contributorId":77028,"corporation":false,"usgs":true,"family":"Schultner","given":"Jannik","email":"","affiliations":[],"preferred":false,"id":477704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kitaysky, Alexander S.","contributorId":13884,"corporation":false,"usgs":true,"family":"Kitaysky","given":"Alexander","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":477701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welcker, Jorg","contributorId":25441,"corporation":false,"usgs":true,"family":"Welcker","given":"Jorg","email":"","affiliations":[],"preferred":false,"id":477703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatch, Scott","contributorId":16268,"corporation":false,"usgs":true,"family":"Hatch","given":"Scott","affiliations":[],"preferred":false,"id":477702,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045952,"text":"fs20133018 - 2013 - Integrated synoptic surveys using an autonomous underwater vehicle and manned boats","interactions":[],"lastModifiedDate":"2016-08-10T10:37:22","indexId":"fs20133018","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3018","title":"Integrated synoptic surveys using an autonomous underwater vehicle and manned boats","docAbstract":"<p>Traditional surface-water surveys are being combined with autonomous technology to produce integrated surveys of bathymetry, water quality, and velocity in inland lakes and reservoirs. This new technology provides valuable, high-resolution, integrated data that allow a systems-based approach to understanding common environmental problems. This fact sheet presents several example applications of integrated surveys within inland lakes and coastal Lake Michigan and Lake Erie.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133018","usgsCitation":"Jackson, P., 2013, Integrated synoptic surveys using an autonomous underwater vehicle and manned boats: U.S. Geological Survey Fact Sheet 2013-3018, 4 p., https://doi.org/10.3133/fs20133018.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":272259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133018.gif"},{"id":272258,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3018/pdf/FS2013-3018.pdf","text":"Report","size":"9.91 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":272257,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3018/"}],"country":"United States","otherGeospatial":"Lake Erie, Lake Michigan","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd62b1e4b0b290850fe5ab","contributors":{"authors":[{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","affiliations":[],"preferred":false,"id":478595,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045677,"text":"70045677 - 2013 - Evaluation of a new model of aeolian transport in the presence of vegetation","interactions":[],"lastModifiedDate":"2013-05-14T11:05:21","indexId":"70045677","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a new model of aeolian transport in the presence of vegetation","docAbstract":"Aeolian transport is an important characteristic of many arid and semiarid regions worldwide that affects dust emission and ecosystem processes. The purpose of this paper is to evaluate a recent model of aeolian transport in the presence of vegetation. This approach differs from previous models by accounting for how vegetation affects the distribution of shear velocity on the surface rather than merely calculating the average effect of vegetation on surface shear velocity or simply using empirical relationships. Vegetation, soil, and meteorological data at 65 field sites with measurements of horizontal aeolian flux were collected from the Western United States. Measured fluxes were tested against modeled values to evaluate model performance, to obtain a set of optimum model parameters, and to estimate the uncertainty in these parameters. The same field data were used to model horizontal aeolian flux using three other schemes. Our results show that the model can predict horizontal aeolian flux with an approximate relative error of 2.1 and that further empirical corrections can reduce the approximate relative error to 1.0. The level of error is within what would be expected given uncertainties in threshold shear velocity and wind speed at our sites. The model outperforms the alternative schemes both in terms of approximate relative error and the number of sites at which threshold shear velocity was exceeded. These results lend support to an understanding of the physics of aeolian transport in which (1) vegetation's impact on transport is dependent upon the distribution of vegetation rather than merely its average lateral cover and (2) vegetation impacts surface shear stress locally by depressing it in the immediate lee of plants rather than by changing the bulk surface's threshold shear velocity. Our results also suggest that threshold shear velocity is exceeded more than might be estimated by single measurements of threshold shear stress and roughness length commonly associated with vegetated surfaces, highlighting the variation of threshold shear velocity with space and time in real landscapes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1002/jgrf.20040","usgsCitation":"Li, J., Okin, G.S., Herrick, J.E., Belnap, J., Miller, M.E., Vest, K., and Draut, A.E., 2013, Evaluation of a new model of aeolian transport in the presence of vegetation: Journal of Geophysical Research F: Earth Surface, v. 118, no. 1, p. 288-306, https://doi.org/10.1002/jgrf.20040.","productDescription":"9 p.","startPage":"288","endPage":"306","ipdsId":"IP-025701","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473829,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrf.20040","text":"Publisher Index Page"},{"id":272217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272215,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrf.20040"}],"volume":"118","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-03-26","publicationStatus":"PW","scienceBaseUri":"53cd584ee4b0b290850f802d","chorus":{"doi":"10.1002/jgrf.20040","url":"http://dx.doi.org/10.1002/jgrf.20040","publisher":"Wiley-Blackwell","authors":"Li Junran, Okin Gregory S., Herrick Jeffrey E., Belnap Jayne, Miller Mark E., Vest Kimberly, Draut Amy E.","journalName":"Journal of Geophysical Research: Earth Surface","publicationDate":"3/2013","auditedOn":"3/7/2016"},"contributors":{"authors":[{"text":"Li, Junran","contributorId":23418,"corporation":false,"usgs":true,"family":"Li","given":"Junran","affiliations":[],"preferred":false,"id":478037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Okin, Gregory S.","contributorId":50025,"corporation":false,"usgs":true,"family":"Okin","given":"Gregory","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":478039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":478038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":478036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Mark E.","contributorId":91580,"corporation":false,"usgs":false,"family":"Miller","given":"Mark","email":"","middleInitial":"E.","affiliations":[{"id":6959,"text":"National Park Service Southeast Utah Group","active":true,"usgs":false}],"preferred":false,"id":478041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vest, Kimberly","contributorId":83818,"corporation":false,"usgs":true,"family":"Vest","given":"Kimberly","email":"","affiliations":[],"preferred":false,"id":478040,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":478042,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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