{"pageNumber":"750","pageRowStart":"18725","pageSize":"25","recordCount":184606,"records":[{"id":70216413,"text":"70216413 - 2019 - Using environmental DNA to extend the window of early detection for dreissenid mussels","interactions":[],"lastModifiedDate":"2020-11-17T23:56:50.036478","indexId":"70216413","displayToPublicDate":"2019-04-05T17:51:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Using environmental DNA to extend the window of early detection for dreissenid mussels","docAbstract":"Tools that bolster early detection of invasive species are needed to prevent their spread. In this study, we assessed if environmental DNA (eDNA) can extend the seasonal window for dreissenid mussel early detection beyond that of plankton tows, which are limited to warmer seasons when mussel larvae are present. We focused eDNA sampling efforts at multiple sites in Tiber Reservoir (Montana) where dreissenid mussel abundance is hypothesized to be low. Samples were collected in June and October 2017, when water temperatures were cooler than thermal optima for dreissenid reproduction, and in July 2017 when water temperatures were warmer and conducive for reproduction. We detected dreissenid mussel DNA in June, July and October even though no dreissenid mussels were observed using non-molecular tools in 2017. A subset of positive and negative eDNA samples were analyzed by an independent lab and results were corroborated. We then estimated the effort needed for 95% probability detection of dreissenid DNA at each site within Tiber Reservoir and found that as many as 27, 14, and 34 samples needed to be collected in June, July and October, respectively. To further validate the utility of eDNA, we also present ancillary eDNA results from other waters in the Flathead Reservation (Montana) where dreissenid mussels have never been detected and from waters with established zebra mussel populations in the upper Mississippi River, which were sampled in the spring when water temperatures were cooler than thermal optima for dreissenid reproduction. All Flathead Reservation samples were negative for dreissenid mussel DNA, while all upper Mississippi River samples were positive. This study adds to a growing body of research that demonstrates eDNA is a highly sensitive tool for dreissenid mussel surveillance in newly invaded waters, including colder seasons when non-molecular tools are likely to be less effective or more challenging to employ.","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2019.10.2.09","usgsCitation":"Sepulveda, A.J., Amberg, J., and Hanson, E., 2019, Using environmental DNA to extend the window of early detection for dreissenid mussels: Management of Biological Invasions, v. 10, no. 2, p. 342-358, https://doi.org/10.3391/mbi.2019.10.2.09.","productDescription":"17 p.","startPage":"342","endPage":"358","ipdsId":"IP-100608","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2019.10.2.09","text":"Publisher Index Page"},{"id":380564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Tiber Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.87103271484375,\n              48.22650242109718\n            ],\n            [\n              -110.85479736328125,\n              48.22650242109718\n            ],\n            [\n              -110.85479736328125,\n              48.52024290640028\n            ],\n            [\n              -111.87103271484375,\n              48.52024290640028\n            ],\n            [\n              -111.87103271484375,\n              48.22650242109718\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":804950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":804951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, Erik","contributorId":244983,"corporation":false,"usgs":false,"family":"Hanson","given":"Erik","email":"","affiliations":[],"preferred":false,"id":805070,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202935,"text":"70202935 - 2019 - A stratigraphic approach to inferring depositional ages from detrital geochronology data","interactions":[],"lastModifiedDate":"2019-04-08T15:28:08","indexId":"70202935","displayToPublicDate":"2019-04-05T13:56:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"A stratigraphic approach to inferring depositional ages from detrital geochronology data","docAbstract":"With the increasing use of detrital geochronology data for provenance analyses, we have also developed new constraints on the age of otherwise undateable sedimentary deposits. Because a deposit can be no older than its youngest mineral constituent, the youngest defensible detrital mineral age defines the maximum depositional age of the sampled bed. Defining the youngest `defensible' age in the face of uncertainty (e.g., analytical and geological uncertainty, or sample contamination) is challenging. The current standard practice of finding multiple detrital minerals with indistinguishable ages provides confidence that a given age is not an artifact; however, we show how requiring this overlap reduces the probability of identifying the true youngest component age. Barring unusual complications, the principle of superposition dictates that sedimentary deposits must get younger upsection. This fundamental constraint can be incoporated into the analysis of depositional ages in sedimentary sections through the use of Bayesian statistics, allowing for the inference of bounded estimates of true depositional ages and uncertainties from detrital geochronology so long as some minimum age constraints are present. We present two approaches for constructing a Bayesian model of deposit ages, first solving directly for the ages of deposits with the prior constraint that the ages of units must obey stratigraphic ordering, and second describing the evolution of ages with a curve that represents the sediment accumulation rate.  Using synthetic examples we highlight how this method preforms in less-than-ideal circumstances. In an example from the Magallanes Basin of Patagonia, we demonstrate how introducing other age information from the stratigraphic section (e.g., fossil assemblages or radiometric dates) and formalizing the stratigraphic context of samples provides additional constraints on and information regarding depositional ages or derived quantities (e.g., sediment accumulation rates) compared to isolated analysis of individual samples.","language":"English","publisher":"Frontiers of Earth Science","doi":"10.3389/feart.2019.00057","usgsCitation":"Johnstone, S., Schwartz, T.M., and Holm-Denoma, C.S., 2019, A stratigraphic approach to inferring depositional ages from detrital geochronology data: Frontiers in Earth Science, v. 7, Article 57; 19 p., https://doi.org/10.3389/feart.2019.00057.","productDescription":"Article 57; 19 p.","ipdsId":"IP-102542","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":460413,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2019.00057","text":"Publisher Index Page"},{"id":362843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnstone, Samuel 0000-0002-3945-2499","orcid":"https://orcid.org/0000-0002-3945-2499","contributorId":207545,"corporation":false,"usgs":true,"family":"Johnstone","given":"Samuel","email":"","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":760541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwartz, Theresa M.","contributorId":214678,"corporation":false,"usgs":false,"family":"Schwartz","given":"Theresa","email":"","middleInitial":"M.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":760542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":760543,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228325,"text":"70228325 - 2019 - Native forage mediates influence of irrigated agriculture on migratory behaviour of elk","interactions":[],"lastModifiedDate":"2022-02-09T19:35:40.14067","indexId":"70228325","displayToPublicDate":"2019-04-05T13:25:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Native forage mediates influence of irrigated agriculture on migratory behaviour of elk","docAbstract":"<ol class=\"\"><li>Ungulates migrate to maximize nutritional intake when forage varies seasonally. Populations of ungulates often include both migratory and non-migratory individuals, but the mechanisms driving individual differences in migratory behaviour are not well-understood.</li><li>We quantified associations between hypothesized drivers of partial migration and the likelihood of migration for individual ungulates that experienced a range of environmental conditions and anthropogenic influences.</li><li>We evaluated the effects of forage variation, conspecific density, and human land uses on migratory behaviour of 308 adult female elk in 16 herds across western Montana.</li><li>We found irrigated agriculture on an individual's winter range reduced migratory behaviour, but individuals were more likely to migrate away from irrigated agricultural areas if better forage was available elsewhere or if they experienced high conspecific density on their winter range. When the forage available during the summer growing season varied predictably between years, elk were more likely to migrate regardless of whether they had access to irrigated agriculture.</li><li>Our study shows that predictable availability of beneficial native forage can encourage migration even for ungulates with irrigated agriculture on their winter range. Perturbations that can affect the forage available to ungulates include wildfires, timber harvest, livestock grazing and changing weather patterns. If these or other disturbances negatively affect forage on summer ranges of migrants, or if they cause forage to vary unpredictably across space and time, our results suggest migratory behaviour may decline as a result.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.12991","usgsCitation":"Mitchell, M.S., Barker, K., and Proffitt, K., 2019, Native forage mediates influence of irrigated agriculture on migratory behaviour of elk: Journal of Animal Ecology, v. 88, no. 7, p. 1100-1110, https://doi.org/10.1111/1365-2656.12991.","productDescription":"11 p.","startPage":"1100","endPage":"1110","ipdsId":"IP-097988","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467728,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12991","text":"Publisher Index Page"},{"id":395715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.2578125,\n              44.59046718130883\n            ],\n            [\n              -111.005859375,\n              44.59046718130883\n            ],\n            [\n              -111.005859375,\n              46.86019101567027\n            ],\n            [\n              -114.2578125,\n              46.86019101567027\n            ],\n            [\n              -114.2578125,\n              44.59046718130883\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barker, Kristin J.","contributorId":275166,"corporation":false,"usgs":false,"family":"Barker","given":"Kristin J.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":833761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Proffitt, Kelly M.","contributorId":275167,"corporation":false,"usgs":false,"family":"Proffitt","given":"Kelly M.","affiliations":[{"id":48627,"text":"mtfwp","active":true,"usgs":false}],"preferred":false,"id":833762,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70200964,"text":"fs20183080 - 2019 - Invasive species research—Science for detection, containment, and control","interactions":[{"subject":{"id":70200964,"text":"fs20183080 - 2019 - Invasive species research—Science for detection, containment, and control","indexId":"fs20183080","publicationYear":"2019","noYear":false,"displayTitle":"Invasive Species Research - Science for Detection, Containment, and Control","title":"Invasive species research—Science for detection, containment, and control"},"predicate":"SUPERSEDED_BY","object":{"id":70251617,"text":"fs20243001 - 2024 - Invasive species research—Science for prevention, detection, containment, and control","indexId":"fs20243001","publicationYear":"2024","noYear":false,"title":"Invasive species research—Science for prevention, detection, containment, and control"},"id":1}],"supersededBy":{"id":70251617,"text":"fs20243001 - 2024 - Invasive species research—Science for prevention, detection, containment, and control","indexId":"fs20243001","publicationYear":"2024","noYear":false,"title":"Invasive species research—Science for prevention, detection, containment, and control"},"lastModifiedDate":"2024-02-27T00:51:26.935323","indexId":"fs20183080","displayToPublicDate":"2019-04-05T11:50:00","publicationYear":"2019","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":"2018-3080","displayTitle":"Invasive Species Research - Science for Detection, Containment, and Control","title":"Invasive species research—Science for detection, containment, and control","docAbstract":"<p><span>Invasive species research within the U.S. Geological Survey’s Ecosystems Mission Area focuses on invasive organisms throughout the United States. U.S. Geological Survey scientists work with partners in the Department of the Interior, other Federal, State and Territorial agencies, Tribes, industry, and agriculture to provide the information needed to help solve problems posed by these invaders. Key components of U.S. Geological Survey invasive species science include the development of novel prevention, prediction, early detection, containment, and control tools.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183080","usgsCitation":"Campbell, E.W., Tam, C.S., and Soileau, S.C., 2019, Invasive species research—Science for detection, containment, and control:  U.S. Geological Survey Fact Sheet 2010–3080, 4 p., https://doi.org/10.3133/fs20183080.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-099579","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":362727,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3080/fs20183080.pdf","text":"Report","size":"4.54 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3080"},{"id":362726,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3080/coverthb-sup.jpg"}],"contact":"<p>Associate Director, Ecosystems, <a href=\"https://www.usgs.gov/mission-areas/ecosystems/\" data-mce-href=\"https://www.usgs.gov/mission-areas/ecosystems/\">Ecosystems Mission Area</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Dr, MS-300<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Invasive Species Facts</li><li>USGS EMA Areas of Emphasis</li><li>Genetics and Invasive Species Detection</li><li>Early Detection and Rapid Response (EDRR) Tool Development</li><li>Nonindigenous Aquatic Species Database</li><li>Zebra and Quagga Mussels</li><li>Asian Carps</li><li>Brown Treesnakes and Pacific Islands Biosecurity Research</li><li>Burmese Pythons</li><li>Cheatgrass</li><li>Salt Cedar (Tamarisk)</li><li>Sea Lamprey</li><li>Black and White Tegu</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2019-04-05","noUsgsAuthors":false,"publicationDate":"2019-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell, Earl 0000-0002-4073-1276","orcid":"https://orcid.org/0000-0002-4073-1276","contributorId":210698,"corporation":false,"usgs":false,"family":"Campbell","given":"Earl","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":true,"id":751464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tam, Cindy Kolar 0000-0001-6634-2343","orcid":"https://orcid.org/0000-0001-6634-2343","contributorId":214652,"corporation":false,"usgs":true,"family":"Tam","given":"Cindy Kolar","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":760491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soileau, Suzanna C. 0000-0002-4331-0098 ssoileau@usgs.gov","orcid":"https://orcid.org/0000-0002-4331-0098","contributorId":198208,"corporation":false,"usgs":true,"family":"Soileau","given":"Suzanna","email":"ssoileau@usgs.gov","middleInitial":"C.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":760477,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202932,"text":"fs20183075 - 2019 - Living with volcano hazards","interactions":[{"subject":{"id":5422,"text":"fs00297 - 1997 - What are volcano hazards?","indexId":"fs00297","publicationYear":"1997","noYear":false,"title":"What are volcano hazards?"},"predicate":"SUPERSEDED_BY","object":{"id":70202932,"text":"fs20183075 - 2019 - Living with volcano hazards","indexId":"fs20183075","publicationYear":"2019","noYear":false,"title":"Living with volcano hazards"},"id":1}],"lastModifiedDate":"2019-05-10T09:18:34","indexId":"fs20183075","displayToPublicDate":"2019-04-05T10:42:48","publicationYear":"2019","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":"2018-3075","displayTitle":"Living With Volcano Hazards","title":"Living with volcano hazards","docAbstract":"<p>Volcanic eruptions are among Earth’s most dramatic and powerful agents of change. Ash, mudflows, and lava flows can devastate communities near volcanoes and cause havoc in areas far downwind, downstream, and downslope. Even when a volcano is quiet, steep volcanic slopes can collapse to become landslides, and large rocks can be hurled by powerful steam blasts. Hazardous volcanic conditions might last for a day or decades, all the while threatening people’s health and safety. Scientists with the U.S. Geological Survey and partner agencies assess hazards and closely monitor activity at the Nation’s volcanoes. They provide volcano updates and warnings of hazardous situations, as well as guidance on actions to take. You can prepare your family and community by familiarizing yourself with the types of hazards at volcanoes near where you live and visit.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183075","usgsCitation":"Stovall, W.K., Driedger, C.L., Westby, E.G., and Faust, L.M., 2019, Living with volcano hazards: U.S. Geological Survey Fact Sheet 2018–3075, 6 p., https://doi.org/10.3133/fs20183075.","productDescription":"Report: 6 p.; Related Work","numberOfPages":"6","ipdsId":"IP-090647","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":363650,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs14400","text":"Fact Sheet 144-00","description":"Fact Sheet 144-00","linkHelpText":" - ¿Cuales son las amenazas o peligros volcanicos?"},{"id":362817,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3075/coverthb.jpg"},{"id":362818,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3075/fs2018-3075.pdf","text":"Report","size":"7.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2018-3075"}],"contact":"<p><a data-mce-href=\"https://volcanoes.usgs.gov/vhp/contact.html\" href=\"https://volcanoes.usgs.gov/vhp/contact.html\" target=\"_blank\" rel=\"noopener\">Contact Information</a><br><a data-mce-href=\"https://volcanoes.usgs.gov/\" href=\"https://volcanoes.usgs.gov/\" target=\"_blank\" rel=\"noopener\">Volcano Science Center</a> - Menlo Park<br><a data-mce-href=\"https://usgs.gov/\" href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>345 Middlefield Road, MS 910<br>Menlo Park, CA 94025</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-04-05","noUsgsAuthors":false,"publicationDate":"2019-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Stovall, Wendy K. 0000-0003-2518-2595","orcid":"https://orcid.org/0000-0003-2518-2595","contributorId":214673,"corporation":false,"usgs":true,"family":"Stovall","given":"Wendy K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":760532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":760533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westby, Elizabeth G. 0000-0003-3494-8353","orcid":"https://orcid.org/0000-0003-3494-8353","contributorId":214674,"corporation":false,"usgs":true,"family":"Westby","given":"Elizabeth","email":"","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":760534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faust, Lisa M. 0000-0001-6175-8999","orcid":"https://orcid.org/0000-0001-6175-8999","contributorId":214675,"corporation":false,"usgs":true,"family":"Faust","given":"Lisa M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":760535,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202923,"text":"70202923 - 2019 - Coral skeleton δ15N as a tracer of historic nutrient loading to a coral reef in Maui, Hawaii","interactions":[],"lastModifiedDate":"2019-04-08T08:39:53","indexId":"70202923","displayToPublicDate":"2019-04-05T09:10:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Coral skeleton δ<sub>15</sub>N as a tracer of historic nutrient loading to a coral reef in Maui, Hawaii","title":"Coral skeleton δ15N as a tracer of historic nutrient loading to a coral reef in Maui, Hawaii","docAbstract":"<p><span>Excess nutrient loading to nearshore environments has been linked to declining water quality and ecosystem health. Macro-algal blooms, eutrophication, and reduction in coral cover have been observed in West Maui, Hawaii, and linked to nutrient inputs from coastal submarine groundwater seeps. Here, we present a forty-year record of nitrogen isotopes (δ</span><sup>15</sup><span>N) of intra-crystalline coral skeletal organic matter in three coral cores collected at this site and evaluate the record in terms of changes in nitrogen sources. Our results show a dramatic increase in coral δ</span><sup>15</sup><span>N values after 1995, corresponding with the implementation of biological nutrient removal at the nearby Lahaina Wastewater Reclamation Facility (LWRF). High δ</span><sup>15</sup><span>N values are known to be strongly indicative of denitrification and sewage effluent, corroborating a previously suggested link between local wastewater injection and degradation of the reef environment. This record demonstrates the power of coral skeletal δ</span><sup>15</sup><span>N as a tool for evaluating nutrient dynamics within coral reef environments.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-019-42013-3","usgsCitation":"Murray, J., Prouty, N.G., Peek, S.E., and Paytan, A., 2019, Coral skeleton δ15N as a tracer of historic nutrient loading to a coral reef in Maui, Hawaii: Scientific Reports, v. 9, p. 1-10, https://doi.org/10.1038/s41598-019-42013-3.","productDescription":"Article number: 5579; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-090774","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-42013-3","text":"Publisher Index Page"},{"id":362815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.69604539871216,\n              20.932923344761708\n            ],\n            [\n              -156.6832995414734,\n              20.932923344761708\n            ],\n            [\n              -156.6832995414734,\n              20.94877529374215\n            ],\n            [\n              -156.69604539871216,\n              20.94877529374215\n            ],\n            [\n              -156.69604539871216,\n              20.932923344761708\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Murray, Joseph","contributorId":214650,"corporation":false,"usgs":false,"family":"Murray","given":"Joseph","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":760487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":760486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peek, Sara E. 0000-0002-9770-6557 speek@usgs.gov","orcid":"https://orcid.org/0000-0002-9770-6557","contributorId":5341,"corporation":false,"usgs":true,"family":"Peek","given":"Sara","email":"speek@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":760488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paytan, Adina","contributorId":140909,"corporation":false,"usgs":false,"family":"Paytan","given":"Adina","affiliations":[{"id":13611,"text":"Institute of Marine Sciences, University of California, Santa Cruz.","active":true,"usgs":false}],"preferred":false,"id":760489,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202926,"text":"70202926 - 2019 - Hydrologic function of rapidly induced biocrusts","interactions":[],"lastModifiedDate":"2019-07-23T13:22:07","indexId":"70202926","displayToPublicDate":"2019-04-05T09:07:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic function of rapidly induced biocrusts","docAbstract":"<p><span>In dryland ecosystems, land degradation and erosion pose severe threats to ecosystem productivity and human wellbeing. Bio‐inoculation of degraded soils with native biological soil crusts ('biocrusts') is a promising yet relatively untested means to improve soil stability and hydrologic function (i.e. increase infiltration and reduce runoff). In a degraded semi‐arid grassland on the Colorado Plateau, we studied the establishment and hydrologic function (via simulated rainfall) of induced biocrusts grown with and without an organic soil stabilizer (psyllium, derived from&nbsp;</span><i>Plantago</i><span>&nbsp;sp.</span><i>)</i><span>, after a period of four months. We found evidence of biocrust establishment, including significantly higher biocrust cover, chlorophyll a, and exopolysaccarides (EPS) in inoculated plots compared to controls. Plots inoculated with biocrust had higher runoff and sediment yields than controls during rainfall simulation. However, this effect was mitigated in plots where stabilizer was added, resulting in greater soil aggregate stability and higher levels of infiltration (reduced total runoff). The time to ponding was significantly greater than control for all inoculated plots, suggesting that induced biocrusts may be most effective at improving infiltration under low‐intensity, smaller precipitation events. Notably, the biocrusts in this study lacked the rough surface microtopography which is common in well‐developed biocrusts regionally and likely instrumental in slowing overland flow and increasing infiltration for larger rain events. These results highlight the temporal lag that may exist between apparent and functional restoration of biocrusts. In addition, the simultaneous additions of stabilizing amendments with biocrust inoculum may work collectively to achieve both short and long‐term restoration targets.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/eco.2089","usgsCitation":"Fick, S.E., Barger, N.N., and Duniway, M.C., 2019, Hydrologic function of rapidly induced biocrusts: Ecohydrology, v. 12, no. 4, e2089, https://doi.org/10.1002/eco.2089.","productDescription":"e2089","ipdsId":"IP-102716","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":362814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Fick, Stephen E. 0000-0002-3548-6966","orcid":"https://orcid.org/0000-0002-3548-6966","contributorId":214319,"corporation":false,"usgs":true,"family":"Fick","given":"Stephen","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":760498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barger, Nichole N.","contributorId":193039,"corporation":false,"usgs":false,"family":"Barger","given":"Nichole","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":760499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":760497,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202929,"text":"70202929 - 2019 - Residence time controls on the fate of nitrogen in flow‐through lakebed sediments","interactions":[],"lastModifiedDate":"2019-06-18T11:21:20","indexId":"70202929","displayToPublicDate":"2019-04-05T09:05:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Residence time controls on the fate of nitrogen in flow‐through lakebed sediments","docAbstract":"<p><span>For many glacial lakes with highly permeable sediments, water exchange rates control hydrologic residence times within the sediment‐water interface (SWI) and the removal of reactive compounds such as nitrate, a common pollutant in lakes and groundwater. Here we conducted a series of focused tracer injection experiments in the upper 20&nbsp;cm of the naturally downwelling SWI in a flow‐through lake on Cape Cod, MA. We systematically varied residence time and reactant controls on nitrate processing, using isotopically labeled&nbsp;</span><sup>15</sup><span>N nitrate to monitor the effect of these changes on nitrate removal via denitrification. The addition of acetate, a labile carbon compound, triggered the lake SWI to switch from net production to net removal of nitrate. When acetate was combined with increased residence time created by controlled reductions in water flux, we observed a fivefold increase in nitrate removal, a 26‐fold increase in N</span><sub>2</sub><span>&nbsp;production, and a 42‐fold increase in N</span><sub>2</sub><span>O production. We demonstrate that water residence time is an important control on the fate of nitrate in these lake SWIs and illustrate that seasonal conditions that alter lake exchange rates and variability in lake carbon may predict dynamic nitrate removal across the SWI. Additionally, observed N</span><sub>2</sub><span>O production during the oxic pore water experiments paired with geophysical characterization of the sediment porosity revealed that the lake SWI has less mobile pores occupying upward of 50% of the total porosity volume, which function as reactive microzones for nitrate processing.</span></p>","language":"English","publisher":"Wiley","doi":"10.1029/2018JG004741","usgsCitation":"Hampton, T.B., Zarentske, J.P., Briggs, M.A., Singha, K., Harvey, J.W., Day-Lewis, F.D., Dehkordy, F.M., and Lane, J.W., 2019, Residence time controls on the fate of nitrogen in flow‐through lakebed sediments: Journal of Geophysical Research: Biogeosciences, v. 124, no. 3, p. 689-707, https://doi.org/10.1029/2018JG004741.","productDescription":"19 p.","startPage":"689","endPage":"707","ipdsId":"IP-103407","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467730,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jg004741","text":"Publisher Index Page"},{"id":362813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Hampton, Tyler B.","contributorId":210072,"corporation":false,"usgs":false,"family":"Hampton","given":"Tyler","email":"","middleInitial":"B.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":760510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zarentske, Jay P.","contributorId":214658,"corporation":false,"usgs":false,"family":"Zarentske","given":"Jay","email":"","middleInitial":"P.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":760511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singha, Kamini 0000-0002-0605-3774","orcid":"https://orcid.org/0000-0002-0605-3774","contributorId":191366,"corporation":false,"usgs":false,"family":"Singha","given":"Kamini","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":760512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":760514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":760513,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dehkordy, Farzaneh MahmoodPoor","contributorId":214661,"corporation":false,"usgs":false,"family":"Dehkordy","given":"Farzaneh","email":"","middleInitial":"MahmoodPoor","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":760515,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":760516,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70202930,"text":"70202930 - 2019 - Wetland-scale mapping of preferential fresh groundwater discharge to the Colorado River","interactions":[],"lastModifiedDate":"2019-09-16T11:55:30","indexId":"70202930","displayToPublicDate":"2019-04-05T09:02:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Wetland-scale mapping of preferential fresh groundwater discharge to the Colorado River","docAbstract":"<p><span>Quantitative evaluation of groundwater/surface water exchange dynamics is universally challenging in large river systems, because existing methodology often does not yield spatially‐distributed data and is difficult to apply in deeper water. Here we apply a combined near‐surface geophysical and direct groundwater chemical toolkit to refine fresh groundwater discharge estimates to the Colorado River through a 4‐km</span><sup>2</sup><span>&nbsp;wetland that borders the town of Moab, Utah, USA. Preliminary characterization of raw electromagnetic imaging (EMI) data, collected by kayak and by walking, was used to guide additional direct‐contact electrical measurements and installation of new monitoring wells. Chemical data from the wells strongly supported the EMI spatial characterization of preferential fresh groundwater discharge embedded in natural brine groundwaters and weighted to the southern wetland section. Inversion of the EMI data revealed sub‐meter scale detail regarding bulk electrical conductivity zonation across approximately 15.5&nbsp;km of transects, collected in only 3&nbsp;days. This electrical detail indicates processes such as salinization of the unsaturated zone and direct discharge through the Colorado River sediments and a tributary creek bed. Overall, the study contributed to a substantial reduction in fresh groundwater discharge estimates previously made using sparse existing well data and a simplified assumption of diffuse fresh groundwater discharge below the entire wetland. EMI will likely become a widely used tool in systems with natural electrical contrast as groundwater/surface water hydrogeologists continue to recognize the prevalence of preferential groundwater discharge processes.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12866","usgsCitation":"Briggs, M.A., Nelson, N.C., Gardner, P.M., Solomon, D.K., Terry, N., and Lane, J.W., 2019, Wetland-scale mapping of preferential fresh groundwater discharge to the Colorado River: Groundwater, v. 57, no. 5, p. 737-748, https://doi.org/10.1111/gwat.12866.","productDescription":"12 p.","startPage":"737","endPage":"748","ipdsId":"IP-104118","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":362812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":760517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Nora C. 0000-0001-8248-2004","orcid":"https://orcid.org/0000-0001-8248-2004","contributorId":207229,"corporation":false,"usgs":true,"family":"Nelson","given":"Nora","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Solomon, D. Kip","contributorId":214666,"corporation":false,"usgs":false,"family":"Solomon","given":"D.","email":"","middleInitial":"Kip","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":760520,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":760521,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":760522,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70202931,"text":"70202931 - 2019 - Multi-scale preferential flow processes in an urban streambed under variable hydraulic conditions","interactions":[],"lastModifiedDate":"2019-04-05T12:54:14","indexId":"70202931","displayToPublicDate":"2019-04-05T08:59:04","publicationYear":"2019","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":"Multi-scale preferential flow processes in an urban streambed under variable hydraulic conditions","docAbstract":"<p><span>Spatially preferential flow processes occur at nested scales at the sediment-water interface (SWI), due in part to sediment heterogeneities, which may be enhanced in flashy urban streams with heavy road sand influence. However, several factors, including the flow-rate dependence of preferential hyporheic flow and discrete groundwater discharge zones are commonly overlooked in reach-scale models of groundwater/surface water exchange. Using a series of controlled-head tracer-injection experiments coupled with cm-scale geophysics within the highly reactive upper 30 cm of the hyporheic zone of an urban stream, we quantified the flow dependence of local less-mobile porosity volume, mass-transfer rate coefficient, and the resulting local residence time in the less-mobile pore space at three controlled downward fluid fluxes (0.8, 2, and 3 m/d). Experiments were performed in two adjacent streambed locations, representing different sediment bulk vertical permeability. Less-mobile porosity parameters were generally substantial and similar between the two streambed locations; though a more competent, thin, organic layer at ∼15 cm depth in one location strongly impacted tracer loading, flushing dynamics, and local residence times. Increased downward flux led to (1) a decrease in less-mobile porosity residence time in all experiments, and (2) an increase in less-mobile porosity fraction for most experiments. Additionally, at the larger stream reach-scale, surface electrodes for electrical resistivity measurement were installed along 22 m of the wetted stream channel. These surface electrode measurements were collected during a natural storm flow event, which revealed widespread, short-term, flushing (e.g. &lt;3 h) of the hyporheic zone with stream water, followed by longer-term (e.g. &gt;60 h) flushing of the SWI with riparian zone groundwater. Flow dependence of preferential hyporheic zone flowpaths, like in the controlled tracer experiments, was also observed in these reach-scale electrical resistivity tomography measurements. Our findings reveal that the spatial and temporal dependence of preferential flow processes create highly dynamic SWI conditions that will affect the physical and coupled biogeochemical functions of the SWI in urbanized, sand-impacted streams.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2019.03.022","usgsCitation":"Dehkordy, F.M., Briggs, M.A., Day-Lewis, F.D., Singha, K., Krajnovich, A., Hampton, T.B., Zarnetske, J.P., Scruggs, C.R., and Bagtzoglou, A.C., 2019, Multi-scale preferential flow processes in an urban streambed under variable hydraulic conditions: Journal of Hydrology, v. 573, p. 168-179, https://doi.org/10.1016/j.jhydrol.2019.03.022.","productDescription":"12 p.","startPage":"168","endPage":"179","ipdsId":"IP-104970","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2019.03.022","text":"Publisher Index Page"},{"id":362811,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"573","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dehkordy, Farzaneh MahmoodPoor","contributorId":214661,"corporation":false,"usgs":false,"family":"Dehkordy","given":"Farzaneh","email":"","middleInitial":"MahmoodPoor","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":760524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":760523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":760525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singha, Kamini 0000-0002-0605-3774","orcid":"https://orcid.org/0000-0002-0605-3774","contributorId":191366,"corporation":false,"usgs":false,"family":"Singha","given":"Kamini","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":760526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krajnovich, Ashton","contributorId":214671,"corporation":false,"usgs":false,"family":"Krajnovich","given":"Ashton","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":760527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hampton, Tyler B.","contributorId":210072,"corporation":false,"usgs":false,"family":"Hampton","given":"Tyler","email":"","middleInitial":"B.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":760528,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zarnetske, Jay P.","contributorId":210073,"corporation":false,"usgs":false,"family":"Zarnetske","given":"Jay","email":"","middleInitial":"P.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":760529,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scruggs, Courtney R. 0000-0002-1744-3233 cscruggs@usgs.gov","orcid":"https://orcid.org/0000-0002-1744-3233","contributorId":190406,"corporation":false,"usgs":true,"family":"Scruggs","given":"Courtney","email":"cscruggs@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":760530,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bagtzoglou, Amvrossios C.","contributorId":211518,"corporation":false,"usgs":false,"family":"Bagtzoglou","given":"Amvrossios","email":"","middleInitial":"C.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":760531,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70223370,"text":"70223370 - 2019 - Nearshore survey and cleanup of benthic marine debris using citizen science divers along the Mediterranean coast of Israel","interactions":[],"lastModifiedDate":"2021-08-25T13:19:09.265085","indexId":"70223370","displayToPublicDate":"2019-04-05T08:14:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2926,"text":"Ocean and Coastal Management","active":true,"publicationSubtype":{"id":10}},"title":"Nearshore survey and cleanup of benthic marine debris using citizen science divers along the Mediterranean coast of Israel","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>Information on marine debris along the Mediterranean coast of Israel, especially on the seafloor, is limited. Many recreational divers are enthusiasts of marine conservation and can thus contribute to data collection which does not require highly specialized training. The Society for the Protection of Nature in Israel together with The Israeli Diving Federation established the diver volunteer program “Sea Guard” (“Mishmar Hayam” in Hebrew), which supports marine conservation through citizen science. The divers were trained in&nbsp;marine ecology&nbsp;and survey methods to conduct independent surveys and lead underwater cleanups. For the first time, we have described the patterns of benthic debris density and composition in the&nbsp;</span>nearshore environment<span>&nbsp;of the southeastern part of the Mediterranean Sea. We found that benthic marine debris in the nearshore along the Israeli Mediterranean coast is primarily plastic, likely originating from the use of local beaches. Fishing, boating and domestic activities also play an important role as sources for marine debris. The currents' regime prevented the debris from accumulating on the seafloor in the nearshore environment, with the exception of several “debris traps”. Our findings will be useful for the development of programs to improve coastal&nbsp;waste management.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocecoaman.2019.03.016","usgsCitation":"Pasternak, G., Ribic, C., Spanier, E., Ariel, A., Mayzel, B., Ohayon, S., and Zviely, D., 2019, Nearshore survey and cleanup of benthic marine debris using citizen science divers along the Mediterranean coast of Israel: Ocean and Coastal Management, v. 175, p. 17-32, https://doi.org/10.1016/j.ocecoaman.2019.03.016.","productDescription":"16 p.","startPage":"17","endPage":"32","ipdsId":"IP-102638","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":388478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Israel","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              34.44213867187499,\n              31.49426181553272\n            ],\n            [\n              35.079345703125,\n              31.5504526754715\n            ],\n            [\n              35.22216796875,\n              32.287132632616384\n            ],\n            [\n              35.430908203125,\n              33.02708758002874\n            ],\n            [\n              35.123291015625,\n              33.119150226768866\n            ],\n            [\n              34.73876953125,\n              32.95336814579932\n            ],\n            [\n              34.365234375,\n              31.62532121329918\n            ],\n            [\n              34.44213867187499,\n              31.49426181553272\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"175","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pasternak, Galia","contributorId":264704,"corporation":false,"usgs":false,"family":"Pasternak","given":"Galia","affiliations":[{"id":38278,"text":"University of Haifa","active":true,"usgs":false}],"preferred":false,"id":821878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":821877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spanier, Ehud","contributorId":264707,"corporation":false,"usgs":false,"family":"Spanier","given":"Ehud","affiliations":[{"id":38278,"text":"University of Haifa","active":true,"usgs":false}],"preferred":false,"id":821880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ariel, Asaf","contributorId":264708,"corporation":false,"usgs":false,"family":"Ariel","given":"Asaf","affiliations":[{"id":54541,"text":"EcoOcean","active":true,"usgs":false}],"preferred":false,"id":821881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mayzel, Boaz","contributorId":264709,"corporation":false,"usgs":false,"family":"Mayzel","given":"Boaz","email":"","affiliations":[{"id":54542,"text":"Israeli Diving Federation","active":true,"usgs":false}],"preferred":false,"id":821882,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ohayon, Sarah","contributorId":264711,"corporation":false,"usgs":false,"family":"Ohayon","given":"Sarah","email":"","affiliations":[{"id":54543,"text":"The Socienty for the Portection of Nature in Isreal","active":true,"usgs":false}],"preferred":false,"id":821883,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zviely, Dov","contributorId":264706,"corporation":false,"usgs":false,"family":"Zviely","given":"Dov","affiliations":[{"id":54539,"text":"Ruppin Academic Center","active":true,"usgs":false}],"preferred":false,"id":821879,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70252905,"text":"70252905 - 2019 - Factors affecting 1,2,3-trichloropropane contamination in groundwater in California","interactions":[],"lastModifiedDate":"2025-01-28T15:31:22.559551","indexId":"70252905","displayToPublicDate":"2019-04-05T07:08:51","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17043,"text":"Science of the Total Envionrment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Factors Affecting 1,2,3-trichloropropane Contamination in Groundwater in California","title":"Factors affecting 1,2,3-trichloropropane contamination in groundwater in California","docAbstract":"<p>1,2,3-Trichloropropane (1,2,3-TCP) is a volatile organic chemical of eminent concern due to its carcinogenic, mutagenic, and reproductive effects, and its frequent occurrence at concentrations of concern worldwide. In California, 1,2,3-TCP was detected in 6.5% of 1237 wells sampled by the U. S. Geological Survey (USGS). About 8% of domestic wells had a detection of 1,2,3-TCP, compared to 5% of public-supply wells. 1,2,3-TCP was detected in 5.5% of most recent samples from 7787 public-supply well sources of the California State Water Resources Control Board Division of Drinking Water (DDW). Concentrations ranged from &lt;0.005 to 2.7 μg/L. The California maximum contaminant level (MCL) is 0.005 μg/L. Most of the detections occurred in the San Joaquin Valley, where 1,2,3-TCP was detected above the MCL in 16% of USGS sampled wells and 18% of DDW wells. 1,2,3-TCP occurrence and concentrations are related to legacy fumigant use and hydrogeologic factors. Understanding factors affecting 1,2,3-TCP will aid in determining vulnerability and long term persistence in the San Joaquin Valley, which can help focus efforts to manage drinking water resources on the most vulnerable areas and also inform efforts in other areas of the state and worldwide. Widespread occurrence of 1,2,3-TCP is related to nonpoint source agricultural contaminant inputs. High concentrations of 1,2,3-TCP are in young, shallow, oxic groundwater beneath primarily orchard/vineyard crops. These areas are in coarse-grained sediments that promote rapid recharge, related to proximal alluvial fan sediments deposited by large streams that drain glaciated watersheds of the Sierra Nevada. 1,2,3-TCP co-occurs with 1,2-dibromo-3-chloropropane (DBCP) and 1,2-dichloropropane (1,2-DCP) throughout modern age groundwater, indicating its long term persistence with little degradation. The highest concentrations of 1,2,3-TCP were observed at point source cleanup sites in urban areas; depending on the age and source of groundwater to nearby public-supply wells, these areas may see increasing concentrations of 1,2,3-TCP.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.03.420","usgsCitation":"Burow, K.R., Floyd, W.D., and Landon, M.K., 2019, Factors affecting 1,2,3-trichloropropane contamination in groundwater in California: Science of the Total Envionrment, v. 672, no. 1 July 2019, p. 324-334, https://doi.org/10.1016/j.scitotenv.2019.03.420.","productDescription":"11 p.","startPage":"324","endPage":"334","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":487474,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.03.420","text":"Publisher Index 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 \"}}]}","volume":"672","issue":"1 July 2019","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burow, Karen R. 0000-0001-6006-6667 krburow@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-6667","contributorId":1504,"corporation":false,"usgs":true,"family":"Burow","given":"Karen","email":"krburow@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":898681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Floyd, Walter D.","contributorId":335551,"corporation":false,"usgs":false,"family":"Floyd","given":"Walter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":898682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":898683,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204198,"text":"70204198 - 2019 - Seasonal, tidal, and geomorphic controls on sediment export to Amazon River tidal floodplains","interactions":[],"lastModifiedDate":"2019-07-11T14:52:31","indexId":"70204198","displayToPublicDate":"2019-04-04T14:43:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal, tidal, and geomorphic controls on sediment export to Amazon River tidal floodplains","docAbstract":"Mainstem–floodplain material exchange in the tidal freshwater reach of ma jor rivers may lead to significant sequestration of riverine sediment, but this zone remains understudied compared to adjacent fluvial and marine environ ments. This knowledge gap prompts investigation of floodplain-incising tidalchannels found along the banks of tidal rivers and their role in facilitating water and suspended-sediment fluxes between mainstem and floodplain. To evaluate this role, and how it evolves along the tidal river and with time, we measured water level, flow velocity, temperature, and suspended-sediment concentration (SSC) in four tidal channels along the tidal Amazon River, Brazil. Eleven deployments were made during low, rising, high, and falling seasonal Amazon discharge. Generally, channels export high-SSC water from the mainstem to the tidal floodplain on flood tides and transfer low-SSC water back to the mainstem on ebbs. Along the length of the tidal river, the interaction between tidal and seasonal water-level variations and channel–floodplain morphology is a primary control on tidal-channel sediment dynamics. Close to the river mouth, where tides are large, this interaction produces transient flow features and current induced sediment resuspension, but the importance of these processes decreases with distance upstream. Although the magnitude of the exchange of water and sediment between mainstem and floodplain via tidal channels is a small percentage of the total mainstem discharge in this large tidal-river system, tidal channels are important conduits for material flux between these two environments. This flux is critical to resisting floodplain submergence during times of\nrising sea level.","language":"English","publisher":"Wiley","doi":"10.1002/esp.4616","usgsCitation":"Nowacki, D.J., Ogston, A.S., Nittrouer, C.A., Fricke, A., Asp, N., and Souza Filho, P.W., 2019, Seasonal, tidal, and geomorphic controls on sediment export to Amazon River tidal floodplains: Journal of Geophysical Research: Earth Surface, v. 44, no. 9, p. 1659-1878, https://doi.org/10.1002/esp.4616.","productDescription":"220 p.","startPage":"1659","endPage":"1878","ipdsId":"IP-075881","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":365485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Amazon River","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-57.62513,-30.21629],[-56.2909,-28.85276],[-55.16229,-27.88192],[-54.49073,-27.47476],[-53.64874,-26.92347],[-53.62835,-26.12487],[-54.13005,-25.54764],[-54.62529,-25.73926],[-54.42895,-25.16218],[-54.29348,-24.5708],[-54.29296,-24.02101],[-54.65283,-23.83958],[-55.0279,-24.00127],[-55.40075,-23.95694],[-55.51764,-23.572],[-55.61068,-22.65562],[-55.79796,-22.35693],[-56.47332,-22.0863],[-56.88151,-22.28215],[-57.93716,-22.09018],[-57.87067,-20.73269],[-58.16639,-20.1767],[-57.8538,-19.97],[-57.95,-19.4],[-57.67601,-18.96184],[-57.49837,-18.17419],[-57.73456,-17.55247],[-58.2808,-17.27171],[-58.38806,-16.87711],[-58.24122,-16.29957],[-60.15839,-16.25828],[-60.54297,-15.09391],[-60.25115,-15.07722],[-60.26433,-14.64598],[-60.4592,-14.35401],[-60.5033,-13.77595],[-61.08412,-13.47938],[-61.7132,-13.4892],[-62.12708,-13.19878],[-62.80306,-13.00065],[-63.1965,-12.62703],[-64.31635,-12.46198],[-65.40228,-11.56627],[-65.3219,-10.89587],[-65.44484,-10.51145],[-65.33844,-9.76199],[-66.64691,-9.93133],[-67.1738,-10.30681],[-68.04819,-10.71206],[-68.27125,-11.01452],[-68.78616,-11.03638],[-69.52968,-10.95173],[-70.09375,-11.12397],[-70.54869,-11.00915],[-70.48189,-9.49012],[-71.30241,-10.07944],[-72.18489,-10.0536],[-72.56303,-9.52019],[-73.22671,-9.46221],[-73.01538,-9.03283],[-73.57106,-8.42445],[-73.98724,-7.52383],[-73.7234,-7.341],[-73.72449,-6.9186],[-73.12003,-6.62993],[-73.21971,-6.08919],[-72.96451,-5.74125],[-72.89193,-5.27456],[-71.74841,-4.59398],[-70.92884,-4.40159],[-70.79477,-4.25126],[-69.89364,-4.29819],[-69.4441,-1.55629],[-69.42049,-1.12262],[-69.57707,-0.54999],[-70.02066,-0.18516],[-70.01557,0.54141],[-69.4524,0.70616],[-69.25243,0.60265],[-69.21864,0.98568],[-69.8046,1.08908],[-69.81697,1.71481],[-67.86857,1.69246],[-67.53781,2.03716],[-67.26,1.72],[-67.06505,1.13011],[-66.87633,1.25336],[-66.32577,0.72445],[-65.54827,0.78925],[-65.35471,1.09528],[-64.61101,1.32873],[-64.19931,1.49285],[-64.08309,1.91637],[-63.36879,2.2009],[-63.42287,2.41107],[-64.27,2.49701],[-64.40883,3.12679],[-64.36849,3.79721],[-64.81606,4.05645],[-64.62866,4.14848],[-63.88834,4.02053],[-63.0932,3.77057],[-62.80453,4.00697],[-62.08543,4.16212],[-60.96689,4.53647],[-60.60118,4.9181],[-60.73357,5.20028],[-60.21368,5.24449],[-59.98096,5.01406],[-60.111,4.57497],[-59.76741,4.4235],[-59.53804,3.9588],[-59.81541,3.6065],[-59.97452,2.75523],[-59.71855,2.24963],[-59.64604,1.78689],[-59.03086,1.3177],[-58.54001,1.26809],[-58.42948,1.46394],[-58.11345,1.5072],[-57.66097,1.68258],[-57.33582,1.94854],[-56.7827,1.86371],[-56.53939,1.89952],[-55.9957,1.81767],[-55.9056,2.022],[-56.07334,2.22079],[-55.97332,2.51036],[-55.56976,2.42151],[-55.09759,2.52375],[-54.52475,2.31185],[-54.08806,2.10556],[-53.77852,2.3767],[-53.55484,2.3349],[-53.41847,2.05339],[-52.93966,2.12486],[-52.55642,2.50471],[-52.24934,3.24109],[-51.6578,4.15623],[-51.31715,4.20349],[-51.06977,3.6504],[-50.50888,1.90156],[-49.97408,1.73648],[-49.9471,1.04619],[-50.69925,0.22298],[-50.38821,-0.07844],[-48.62057,-0.23549],[-48.5845,-1.23781],[-47.82496,-0.58162],[-46.56658,-0.94103],[-44.9057,-1.55174],[-44.41762,-2.13775],[-44.58159,-2.69131],[-43.41879,-2.38311],[-41.47266,-2.91202],[-39.97867,-2.87305],[-38.50038,-3.70065],[-37.22325,-4.82095],[-36.45294,-5.1094],[-35.5978,-5.1495],[-35.23539,-5.46494],[-34.89603,-6.73819],[-34.72999,-7.34322],[-35.12821,-8.9964],[-35.63697,-9.64928],[-37.04652,-11.04072],[-37.68361,-12.17119],[-38.42388,-13.03812],[-38.67389,-13.05765],[-38.95328,-13.79337],[-38.8823,-15.66705],[-39.16109,-17.20841],[-39.26734,-17.86775],[-39.58352,-18.2623],[-39.76082,-19.59911],[-40.77474,-20.90451],[-40.94476,-21.93732],[-41.75416,-22.37068],[-41.98828,-22.97007],[-43.0747,-22.96769],[-44.64781,-23.35196],[-45.35214,-23.79684],[-46.47209,-24.08897],[-47.64897,-24.8852],[-48.49546,-25.87702],[-48.641,-26.6237],[-48.47474,-27.17591],[-48.66152,-28.18613],[-48.88846,-28.67412],[-49.58733,-29.22447],[-50.69687,-30.98447],[-51.57623,-31.7777],[-52.25608,-32.24537],[-52.7121,-33.19658],[-53.37366,-33.76838],[-53.65054,-33.202],[-53.20959,-32.72767],[-53.78795,-32.04724],[-54.57245,-31.49451],[-55.60151,-30.85388],[-55.97324,-30.88308],[-56.97603,-30.10969],[-57.62513,-30.21629]]]},\"properties\":{\"name\":\"Brazil\"}}]}","volume":"44","issue":"9","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Nowacki, Daniel J. 0000-0002-7015-3710 dnowacki@usgs.gov","orcid":"https://orcid.org/0000-0002-7015-3710","contributorId":174586,"corporation":false,"usgs":true,"family":"Nowacki","given":"Daniel","email":"dnowacki@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":766011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ogston, Andrea S.","contributorId":12119,"corporation":false,"usgs":true,"family":"Ogston","given":"Andrea","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":766012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nittrouer, Charles A.","contributorId":51218,"corporation":false,"usgs":false,"family":"Nittrouer","given":"Charles","email":"","middleInitial":"A.","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":766013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fricke, Aaron","contributorId":216893,"corporation":false,"usgs":false,"family":"Fricke","given":"Aaron","affiliations":[],"preferred":false,"id":766014,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Asp, Nils","contributorId":216894,"corporation":false,"usgs":false,"family":"Asp","given":"Nils","affiliations":[],"preferred":false,"id":766015,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Souza Filho, Pedro Walfir M.","contributorId":216895,"corporation":false,"usgs":false,"family":"Souza Filho","given":"Pedro","email":"","middleInitial":"Walfir M.","affiliations":[],"preferred":false,"id":766016,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70202842,"text":"sim3431 - 2019 - Bathymetric contour map, surface area and capacity table, and bathymetric change map for Sugar Creek Lake near Moberly, Missouri, 2018","interactions":[],"lastModifiedDate":"2019-04-08T08:50:44","indexId":"sim3431","displayToPublicDate":"2019-04-04T11:06:09","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3431","displayTitle":"Bathymetric Contour Map, Surface Area and Capacity Table, and Bathymetric Change Map for Sugar Creek Lake near Moberly, Missouri, 2018","title":"Bathymetric contour map, surface area and capacity table, and bathymetric change map for Sugar Creek Lake near Moberly, Missouri, 2018","docAbstract":"<div class=\"gmail_default\">Managers of water-supply lakes need an accurate estimate of the lake capacity to ensure that enough water is available for uses such as: providing consistent recreation pool levels, preserving downstream aquatic habitat, flood abatement, water supply, and power generation. Lake capacity is particularly important for managers of water-supply lakes during periods of drought, unexpected population growth, or exceptionally high water use in the area supplied by the lake. Sedimentation, primarily from runoff into the lake, will cause a loss of storage capacity as a lake ages; as a result, the capacity table for the lake (if one exists) will overestimate the actual capacity. Lake bathymetric changes can be demonstrated through periodic surveying, and rates of sediment accumulation can be calculated so that managers can better regulate the water supply.</div><div class=\"gmail_default\"><br data-mce-bogus=\"1\"></div><div class=\"gmail_default\">The U. S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, completed a bathymetric survey of Sugar Creek Lake in December 2003.&nbsp; Sugar Creek Lake, constructed in 1922, is about 4 miles northwest of Moberly, Missouri, in Randolph County and has a surface area of about 330 acres at the spillway elevation of 746.8 feet. The lake primarily is used for recreation and drinking-water supply for the town of Moberly,&nbsp; Missouri.</div><div class=\"gmail_default\"><br data-mce-bogus=\"1\"></div><div class=\"gmail_default\">In September 2018, the&nbsp; U. S. Geological Survey, in cooperation with the Missouri Department of Natural Resources and the City of Moberly,&nbsp; Missouri, surveyed the bathymetry of Sugar Creek Lake to prepare an updated bathymetric map and a surface area and capacity table. The 2003 survey was compared with the 2018 survey to document the changes in the bathymetric surface. The comparison found that in the 14.7 years between the two surveys the lake had lost 230 acre-feet of capacity and had an average sediment accumulation of 0.96 feet.</div>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3431","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources and the City of Moberly, Missouri","usgsCitation":"Richards, J.M., Huizinga, R.J., and Ellis, J.T., 2019, Bathymetric contour map, surface area and capacity table, and bathymetric change map for Sugar Creek Lake near Moberly, Missouri, 2018: U.S. Geological Survey Scientific Investigations Map 3431, 1 sheet, https://doi.org/10.3133/sim3431.","productDescription":"Sheet: 36.0 x 36.0 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-105640","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":362660,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XDVRMT","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Bathymetric and supporting data for Sugar Creek Lake near Moberly, Missouri, 2018"},{"id":362659,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3431/sim3431.pdf","text":"Report","size":"2.21 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3431"},{"id":362658,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3431/coverthb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Sugar Creek Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.481629322,\n              39.4730636\n            ],\n            [\n              -92.452012855,\n              39.4730636\n            ],\n            [\n              -92.452012855,\n              39.494466638\n            ],\n            [\n              -92.481629322,\n              39.494466638\n            ],\n            [\n              -92.481629322,\n              39.4730636\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/cm-water\" href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>1400 Independence Road<br>Rolla, MO 65401<br></p>","tableOfContents":"<ul><li>Introduction</li><li>Methods</li><li>Bathymetric Data Collection Quality Assurance</li><li>Bathymetric Surface, Contour, and Bathymetric Change Quality Assurance</li><li>Bathymetry, Capacity, and Bathymetric Change</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-04-04","noUsgsAuthors":false,"publicationDate":"2019-04-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Richards, Joseph M. 0000-0002-9822-2706","orcid":"https://orcid.org/0000-0002-9822-2706","contributorId":202877,"corporation":false,"usgs":true,"family":"Richards","given":"Joseph M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Jarrett T. 0000-0001-9928-1030","orcid":"https://orcid.org/0000-0001-9928-1030","contributorId":210378,"corporation":false,"usgs":true,"family":"Ellis","given":"Jarrett","email":"","middleInitial":"T.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760229,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205249,"text":"70205249 - 2019 - Detecting the undetectable: Characterization, optimization, and validation of an eDNA detection assay for the federally endangered dwarf wedgemussel, Alasmidonta heterodon (Bivalvia: Unionoida)","interactions":[],"lastModifiedDate":"2019-09-10T09:47:24","indexId":"70205249","displayToPublicDate":"2019-04-04T09:45:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Detecting the undetectable: Characterization, optimization, and validation of an eDNA detection assay for the federally endangered dwarf wedgemussel, <i>Alasmidonta heterodon</i> (Bivalvia: Unionoida)","title":"Detecting the undetectable: Characterization, optimization, and validation of an eDNA detection assay for the federally endangered dwarf wedgemussel, Alasmidonta heterodon (Bivalvia: Unionoida)","docAbstract":"Environmental (e)DNA assays are valuable tools for monitoring presence and distribution of cryptic species. Like many freshwater mussels, the dwarf wedgemussel, Alasmidonta heterodon numbers have dwindled and its range has diminished.  As of its listing in 1993, only 10 to 20 locations were known to persist of the 70 Atlantic slope locations known historically. A qPCR assay to detect the presence of A. heterodon was developed that uses two probes to accommodate a single nucleotide polymorphism (SNP) in the probe binding site within the cytochrome oxidase I (COI) gene.  This SNP defines northern and southern major phylogenetic lineages. The primers match exactly the previously determined cytochrome oxidase I sequences of twenty dwarf wedgemussel individuals representing Atlantic slope populations from North Carolina, Virginia, Maryland, New York, and New Hampshire. Other than for the qPCR assay described here these primers can be used for sequencing and/or metabarcoding to further delineate dwarf wedgemussel populations phylogenetically. A simple eDNA preparation method is introduced using flocculation to concentrate free DNA in solution as well as cellular material (including shed animal cells, bacteria, virus, and dissolved DNA).  In addition to the specific application described here, the methodological approaches used in this study are widely applicable to the study of conservation issues including, but not limited to general aquatic biodiversity, phylogenetic studies, and detection of pathogenic microbes.","language":"English","publisher":"Wiley","doi":"10.1002/aqc.3069","usgsCitation":"Schill, W., and Galbraith, H.S., 2019, Detecting the undetectable: Characterization, optimization, and validation of an eDNA detection assay for the federally endangered dwarf wedgemussel, Alasmidonta heterodon (Bivalvia: Unionoida): Aquatic Conservation: Marine and Freshwater Ecosystems, v. 29, no. 4, p. 603-611, https://doi.org/10.1002/aqc.3069.","productDescription":"9 p.","startPage":"603","endPage":"611","ipdsId":"IP-097742","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":367304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367303,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1002/aqc.3069"}],"country":"United States","state":"North Carolina, Virginia, Maryland, New York, New 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Bane 0000-0002-9217-984X","orcid":"https://orcid.org/0000-0002-9217-984X","contributorId":213903,"corporation":false,"usgs":true,"family":"Schill","given":"W. Bane","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":770527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galbraith, Heather S. 0000-0003-3704-3517","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":204518,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":770528,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203038,"text":"70203038 - 2019 - Estimating quick-flow runoff at the monthly timescale for the conterminous United States","interactions":[],"lastModifiedDate":"2019-06-18T11:29:24","indexId":"70203038","displayToPublicDate":"2019-04-04T09:43:45","publicationYear":"2019","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 quick-flow runoff at the monthly timescale for the conterminous United States","docAbstract":"The quantitative estimation of the quick-flow runoff component of streamflow is required for many hydrologic applications. Estimation at the monthly timescale and national spatial scale would be particularly useful for national water availability modeling. This paper reviews a sample of commonly used equations for quick-flow runoff, including several currently in use in continental-scale models. The review shows the wide range of equation forms or heuristics currently in use to predict quick-flow runoff, the limited spatial scale over which these equations are often developed or calibrated, and the scarcity of well-tested equations available for quick-flow runoff at the monthly timescale. Data were gathered from a set of 1301 gaged watersheds across the United States to test a range of equations from the literature, along with several alternative equations, to assess and compare their performance in predicting quick-flow runoff at the monthly timescale. The highest-performing equation was selected for application to monthly maps of explanatory variables to produce monthly quick-flow runoff water budget contribution maps. This equation is a regression against precipitation, soil saturated hydraulic conductivity, surficial geology type, and slope data. Its application indicates that average quick-flow runoff across the conterminous United States in the winter exceeds that in the summer by up to a factor of three.  The monthly maps were explored and evaluated for the timespan of 2000-2015. The comparison of equation forms and produced monthly maps will be useful for a variety of hydrologic modeling and monitoring applications.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2019.04.010","usgsCitation":"Reitz, M., and Sanford, W.E., 2019, Estimating quick-flow runoff at the monthly timescale for the conterminous United States: Journal of Hydrology, v. 573, p. 841-854, https://doi.org/10.1016/j.jhydrol.2019.04.010.","productDescription":"14 p.","startPage":"841","endPage":"854","ipdsId":"IP-102672","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":467732,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2019.04.010","text":"Publisher Index Page"},{"id":437509,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Y1RP02","text":"USGS data release","linkHelpText":"Monthly timescale quick-flow runoff maps for 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         -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"573","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Reitz, Meredith 0000-0001-9519-6103 mreitz@usgs.gov","orcid":"https://orcid.org/0000-0001-9519-6103","contributorId":196694,"corporation":false,"usgs":true,"family":"Reitz","given":"Meredith","email":"mreitz@usgs.gov","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":760903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":760904,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203006,"text":"70203006 - 2019 - The influence of shelf bathymetry and beach topography on extreme total water levels: Linking large-scale changes of the wave climate to local coastal hazards","interactions":[],"lastModifiedDate":"2019-07-23T13:24:17","indexId":"70203006","displayToPublicDate":"2019-04-04T09:08:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"The influence of shelf bathymetry and beach topography on extreme total water levels: Linking large-scale changes of the wave climate to local coastal hazards","docAbstract":"Total water levels (TWLs) at the coast are driven by a combination of deterministic (e.g.,\ntides) and stochastic (e.g., waves, storm surge, and sea level anomalies) processes. The contribution of each process to TWLs varies depending on regional differences in climate and\nframework geology, as well as local-scale variations in beach morphology, coastal orientation,\nand shelf bathymetry. Large-scale changes to the climate altering the frequency, direction,\nand intensity of storms, may therefore propagate to the nearshore differently, amplifying or\nsuppressing local coastal hazards and changing the exposure of coastal communities to extreme\nTWLs. This study investigates the hydrodynamic and geomorphologic factors controlling\nlocal TWLs along high-energy United States coastlines where wave-influences dominate\nTWLs. Three study sites in the states of Washington, Oregon, and California are chosen\nto explore how regional and local differences in beach topography and wave transformation\nover shelf bathymetry drives variations in the magnitude and impacts of extreme TWLs. Results\nindicate that TWLs are most influenced by wave transformation processes in locations\nwith steep beach slopes (which drive larger relative contributions of wave runup) and complex\noffshore bathymetry, while beach topography influences the severity of coastal impacts.\nOnce the relative morphologic controls on TWLs are better understood, hypothetical future\nclimate scenarios are explored to assess how changes to the average deepwater wave climate\n(height, period, and direction) may alter local TWLs when compared to estimates of likely\nsea level rise and future coastal management strategies. Changes to the wave climate are\nfound to be as detrimental to the coastline as sea level rise in some locations, where small\nvariations of the TWL drive large, nonlinear changes in hours of impact to the backshore\nbeach. Overall, this study develops an approach for quantifying the range of hydrodynamic\nand morphologic controls on the magnitude of TWLs which will ultimately better prepare\ncoastal communities for uncertain changes to the global climate.","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2019.03.012","usgsCitation":"Katherine A. Serafin, Peter Ruggiero, Barnard, P., and Stockdon, H.F., 2019, The influence of shelf bathymetry and beach topography on extreme total water levels: Linking large-scale changes of the wave climate to local coastal hazards: Coastal Engineering, v. 150, p. 1-17, https://doi.org/10.1016/j.coastaleng.2019.03.012.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-097537","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467733,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2019.03.012","text":"Publisher Index Page"},{"id":362905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","volume":"150","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Katherine A. Serafin","contributorId":214777,"corporation":false,"usgs":false,"family":"Katherine A. Serafin","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":766355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peter Ruggiero","contributorId":147151,"corporation":false,"usgs":false,"family":"Peter Ruggiero","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":760755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":760753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":760756,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203784,"text":"70203784 - 2019 - Lewis River Bull Trout synthesis of known information","interactions":[],"lastModifiedDate":"2021-08-19T13:17:11.808892","indexId":"70203784","displayToPublicDate":"2019-04-04T09:05:17","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Lewis River Bull Trout synthesis of known information","docAbstract":"This document comprises a synthesis of bull trout information collected in the Lewis River for over two decades, and is the first such compilation of information in the subbasin since Graves (1982).  We have summarized the information on demographic characteristics, vital rates, spatial distribution, movement patterns and genetic diversity in an effort to identify data gaps and research and monitoring needs for the future.  This information will initially inform the development of a bull trout management plan for the Lewis River core area and will be a living document to capture additional information as it becomes available.","language":"English","publisher":"U.S. Fish and Wildlife Service","collaboration":"Washington Department of Fish and Wildlife, U.S. Fish and Wildlife Service, USDA Forest Service, PacifiCorp","usgsCitation":"Hudson, J.M., Doyle, J., Lamperth, J., Al-Chokhachy, R., Robertson, G.A., and Wadsworth, T., 2019, Lewis River Bull Trout synthesis of known information, 53 p.","productDescription":"53 p.","ipdsId":"IP-105874","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":364630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364605,"type":{"id":11,"text":"Document"},"url":"https://www.fws.gov/crfwco/publications/Hudson_2019_Lewis%20River%20Bull%20Trout%20Synthesis_Final.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Lewis River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.73651123046874,\n              45.882360730184025\n            ],\n            [\n              -122.27783203125,\n              45.882360730184025\n            ],\n            [\n              -122.27783203125,\n              46.040829158935196\n            ],\n            [\n              -122.73651123046874,\n              46.040829158935196\n            ],\n            [\n              -122.73651123046874,\n              45.882360730184025\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hudson, J. Michael","contributorId":200426,"corporation":false,"usgs":false,"family":"Hudson","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":764121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doyle, Jeremiah","contributorId":214617,"corporation":false,"usgs":false,"family":"Doyle","given":"Jeremiah","email":"","affiliations":[{"id":39086,"text":"PacifiCorp","active":true,"usgs":false}],"preferred":false,"id":764122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamperth, Jamie","contributorId":216188,"corporation":false,"usgs":false,"family":"Lamperth","given":"Jamie","email":"","affiliations":[{"id":39375,"text":"Washington Departement of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":764123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":216187,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":764120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robertson, Gregory A.","contributorId":264496,"corporation":false,"usgs":false,"family":"Robertson","given":"Gregory","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":764124,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wadsworth, Tom","contributorId":216189,"corporation":false,"usgs":false,"family":"Wadsworth","given":"Tom","email":"","affiliations":[{"id":39375,"text":"Washington Departement of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":764125,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203336,"text":"70203336 - 2019 - Pathways to strategic communication for biodiversity conservation: Response to “Hearing ourselves (and acting in consequence): A commentary on Bekessy et al. from a bird-handling environmental education perspective”","interactions":[],"lastModifiedDate":"2019-06-18T11:53:00","indexId":"70203336","displayToPublicDate":"2019-04-04T08:54:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Pathways to strategic communication for biodiversity conservation: Response to “Hearing ourselves (and acting in consequence): A commentary on Bekessy et al. from a bird-handling environmental education perspective”","docAbstract":"Central to discussions about the merits of ecosystem services as a communication strategy is the degree to which it represents a strategic and effective approach to advance biodiversity conservation. There is increasing recognition that many conservation communication efforts can be more strategic (e.g. Kusmanoff et al. 2016).","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.03.038","usgsCitation":"Kusmanoff, A., Runge, M.C., Keith, D.A., Wintle, B.A., and Bekessy, S.A., 2019, Pathways to strategic communication for biodiversity conservation: Response to “Hearing ourselves (and acting in consequence): A commentary on Bekessy et al. from a bird-handling environmental education perspective”: Biological Conservation, v. 233, p. 330-331, https://doi.org/10.1016/j.biocon.2019.03.038.","productDescription":"2 p.","startPage":"330","endPage":"331","ipdsId":"IP-106523","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":363522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363521,"rank":1,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.1016/j.biocon.2019.03.036"}],"volume":"233","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kusmanoff, Alex","contributorId":205452,"corporation":false,"usgs":false,"family":"Kusmanoff","given":"Alex","email":"","affiliations":[{"id":37109,"text":"RMIT University","active":true,"usgs":false}],"preferred":false,"id":762190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":762189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keith, David A.","contributorId":174879,"corporation":false,"usgs":false,"family":"Keith","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":762191,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wintle, Brendan A.","contributorId":205453,"corporation":false,"usgs":false,"family":"Wintle","given":"Brendan","email":"","middleInitial":"A.","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":762192,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bekessy, Sarah A.","contributorId":205451,"corporation":false,"usgs":false,"family":"Bekessy","given":"Sarah","email":"","middleInitial":"A.","affiliations":[{"id":37109,"text":"RMIT University","active":true,"usgs":false}],"preferred":false,"id":762193,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206860,"text":"70206860 - 2019 - Effects of historic wildfire and prescribed fire on site occupancy of bats in Shenandoah National Park, Virginia, USA","interactions":[],"lastModifiedDate":"2020-07-09T14:20:18.016417","indexId":"70206860","displayToPublicDate":"2019-04-04T07:09:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2298,"text":"Journal of Forestry Research","active":true,"publicationSubtype":{"id":10}},"title":"Effects of historic wildfire and prescribed fire on site occupancy of bats in Shenandoah National Park, Virginia, USA","docAbstract":"Given high likelihood of regional extirpation of several once-common bat species in eastern North America from White-nose Syndrome, it is critical that impacts of forest management activities such as prescribed fire are known to minimize potentially additive negative effects on bat populations. Historic wildfires may offer a suitable surrogate to assess long-term burn impacts on bats for planning, implementing and assessing burning programs going forward.  To examine effects of historic fire on bats, we sampled bat activity at 24 transect locations in burned and unburned forest stands in the central Appalachian Mountains of Shenandoah National Park (SNP), Virginia, USA, 2015. We found limited evidence positive fire effects over time on hoary bats (Lasiurus cinereus) and big brown bats (Eptesicus fuscus) occupancy. Overall, we found few or mostly equivocal relationships of bat occupancy relative to burn condition or time since fire at SNP across species using a false-positive occupancy approach. Our results suggest that fire does not strongly affect bat site occupancy at short or long-term time scales in the central Appalachians.","language":"English","publisher":"Springer","doi":"10.1007/s11676-019-00923-y","usgsCitation":"Ford, W., Austin, L.V., Alexander Silvis, and Powers, K.E., 2019, Effects of historic wildfire and prescribed fire on site occupancy of bats in Shenandoah National Park, Virginia, USA: Journal of Forestry Research, v. 31, p. 1255-1270, https://doi.org/10.1007/s11676-019-00923-y.","productDescription":"16 p.","startPage":"1255","endPage":"1270","ipdsId":"IP-090024","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467734,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/102431","text":"External Repository"},{"id":369610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.4696044921875,\n              37.35269280367274\n            ],\n            [\n              -77.069091796875,\n              37.35269280367274\n            ],\n            [\n              -77.069091796875,\n              39.18969082109678\n            ],\n            [\n              -79.4696044921875,\n              39.18969082109678\n            ],\n            [\n              -79.4696044921875,\n              37.35269280367274\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":776087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Austin, Lauren V.","contributorId":204944,"corporation":false,"usgs":false,"family":"Austin","given":"Lauren","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":776161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander Silvis","contributorId":199527,"corporation":false,"usgs":false,"family":"Alexander Silvis","affiliations":[],"preferred":false,"id":776089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powers, Karen E.","contributorId":171456,"corporation":false,"usgs":false,"family":"Powers","given":"Karen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":776162,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202719,"text":"ofr20191025 - 2019 - Annual wastewater nutrient data preparation and load estimation using the Point Source Load Estimation Tool (PSLoadEsT)","interactions":[],"lastModifiedDate":"2019-04-08T08:53:56","indexId":"ofr20191025","displayToPublicDate":"2019-04-04T07:00:28","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1025","displayTitle":"Annual Wastewater Nutrient Data Preparation and Load Estimation Using the Point-Source Load Estimation Tool (PSLoadEsT)","title":"Annual wastewater nutrient data preparation and load estimation using the Point Source Load Estimation Tool (PSLoadEsT)","docAbstract":"<p>The Point-Source Load Estimation Tool (PSLoadEsT) provides a user-friendly interface for generating reproducible load calculations for point source dischargers while managing common data challenges including duplicates, incompatible input tables, and incomplete or missing nutrient concentration or effluent flow data. Maintaining a consistent method across an entire study area is important when estimating loads to be used as calibration data for regional water-quality models. PSLoadEsT is written using the open-source programming language R and has an easy-to-use interface written in Visual Basic for Applications® within a Microsoft Access® database file that guides the user through the necessary steps to estimate point source loads. The purpose of this report is to provide a detailed user guide for PSLoadEsT.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191025","collaboration":"National Water Quality Assessment Program","usgsCitation":"Gorman Sanisaca, L.E., Skinner, K.D., and Maupin, M.A., 2019, Annual wastewater nutrient data preparation and load estimation using the Point Source Load Estimation Tool (PSLoadEsT): U.S. Geological Survey Open-File Report 2019-1025, 48 p., https://doi.org/10.3133/ofr20191025.","productDescription":"Report: vi, 48 p.; Additional Report Piece","onlineOnly":"Y","ipdsId":"IP-099356","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":437510,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QWVZ4L","text":"USGS data release","linkHelpText":"Point-Source Load Estimation Tool (PSLoadEsT)"},{"id":362728,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1025/coverthb.jpg"},{"id":362733,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.5066/P9QWVZ4L","text":"PSLoadEsT Software release","description":"PSLoadEsT Software release"},{"id":362729,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1025/ofr20191025.pdf","text":"Report","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1025"},{"id":362732,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ds1101","text":"Data Series 1101","description":"Data Series 1101","linkHelpText":"Point-Source Nutrient Loads to Streams of the Conterminous United States, 2012"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/md-de-dc-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/md-de-dc-water\">MD-DE-DC Water Science Center</a><br>U.S. Geological Survey<br>5522 Research Park Drive<br>Catonsville, MD 21228</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Loading PSLoadEsT.</li><li>Input Data Preparation and Formatting for PSLoadEsT</li><li>Navigating PSLoadEsT</li><li>Executing PSLoadEsT</li><li>Summary</li><li>References Cited</li><li>Appendixes 1–4</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-04-04","noUsgsAuthors":false,"publicationDate":"2019-04-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Gorman Sanisaca, Lillian E. 0000-0003-1711-3864 lgormansanisaca@usgs.gov","orcid":"https://orcid.org/0000-0003-1711-3864","contributorId":172247,"corporation":false,"usgs":true,"family":"Gorman Sanisaca","given":"Lillian E.","email":"lgormansanisaca@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":759643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skinner, Kenneth D. 0000-0003-1774-6565 kskinner@usgs.gov","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":138820,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","email":"kskinner@usgs.gov","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":759644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maupin, Molly A. 0000-0002-2695-5505 mamaupin@usgs.gov","orcid":"https://orcid.org/0000-0002-2695-5505","contributorId":951,"corporation":false,"usgs":true,"family":"Maupin","given":"Molly","email":"mamaupin@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759645,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70200838,"text":"ds1101 - 2019 - Point-source nutrient loads to streams of the conterminous United States, 2012","interactions":[],"lastModifiedDate":"2019-04-05T15:03:49","indexId":"ds1101","displayToPublicDate":"2019-04-04T07:00:02","publicationYear":"2019","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":"1101","displayTitle":"Point-Source Nutrient Loads to Streams of the Conterminous United States, 2012","title":"Point-source nutrient loads to streams of the conterminous United States, 2012","docAbstract":"<p class=\"p1\">Total nitrogen and phosphorous loads were estimated for 5,430 major point-source facilities (all types) and 11,537 minor wastewater treatment facilities discharging to streams in the conterminous United States during 2012. Facilities classified as a major discharger are typically a facility that discharges greater than one million gallons of water per day however some industrial facilities are classified as a major based on specific criteria developed by the U.S. Environmental Protection Agency (EPA) and the National Pollutant Discharge Elimination System state program. Data documenting discharge information from point sources were obtained from the EPA’s Integrated Compliance Information System (ICIS) and Permit Compliance System (PCS). When available, actual nutrient concentration measurements were used to calculate point-source loads. In the many cases in which concentration data were not available in either the ICIS or PCS databases, typical pollutant concentrations (TPCs) were developed using data from similar facilities. A new method for calculating TPCs was implemented that allows varying amounts of nutrient concentration data and (or) varying numbers of facilities to determine TPCs. This new method minimized the effect that any single facility discharging extremely large nutrient concentrations had on resultant TPC values. Because of the smaller TPC values from this new TPC method, the total nutrient load for many states was reduced compared to previous TPC methods.</p><p class=\"p1\">Major wastewater treatment facilities are the largest contributor of nutrient loads to streams even though there are almost three times as many minor wastewater treatment facilities. Specifically, 4,218 major wastewater treatment facilities account for 94 percent of the total nitrogen load for the conterminous United States, whereas 11,397 minor wastewater treatment facilities contribute 6 percent of the total nitrogen load. Total phosphorous loads are similarly divided among major (93 percent) and minor (7 percent) wastewater treatment facilities. Total nitrogen loads, including all facility types, primarily are from wastewater treatment facilities and some petroleum refining facilities. Total phosphorous loads also are primarily from wastewater treatment facilities, but several manufacturing facilities such as corn milling, pulp and paper mills, and industrial chemical facilities also contribute to total phosphorous loads.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1101","usgsCitation":"Skinner, K.D., and Maupin, M.A., 2019, Point-source nutrient loads to streams of the conterminous United States, 2012: U.S. Geological Survey Data Series 1101, 13 p., https://doi.org/10.3133/ds1101.","productDescription":"Report: vi, 13 p.; Data Release","numberOfPages":"24","onlineOnly":"Y","ipdsId":"IP-080332","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":362734,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20191025","text":"OFR 2019-1025","description":"OFR 2019-1025","linkHelpText":"Annual Wastewater Nutrient Data 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         34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                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  ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/id-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Rd<br>Boise, Idaho 83702-4520</p>","tableOfContents":"<ul><li>Foreword</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Point-Source Nutrient Loads</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-04-04","noUsgsAuthors":false,"publicationDate":"2019-04-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Skinner, Kenneth D. 0000-0003-1774-6565 kskinner@usgs.gov","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":1836,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","email":"kskinner@usgs.gov","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":750842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maupin, Molly A. 0000-0002-2695-5505 mamaupin@usgs.gov","orcid":"https://orcid.org/0000-0002-2695-5505","contributorId":951,"corporation":false,"usgs":true,"family":"Maupin","given":"Molly","email":"mamaupin@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":750843,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204208,"text":"70204208 - 2019 - Effect of light intensity and substrate type on siscowet lake trout (Salvelinus namaycush siscowet) predation on deepwater sculpin (Myoxocephalus thompsonii)","interactions":[],"lastModifiedDate":"2019-07-12T09:03:21","indexId":"70204208","displayToPublicDate":"2019-04-03T15:00:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effect of light intensity and substrate type on siscowet lake trout (<i>Salvelinus namaycush siscowet</i>) predation on deepwater sculpin (<i>Myoxocephalus thompsonii</i>)","title":"Effect of light intensity and substrate type on siscowet lake trout (Salvelinus namaycush siscowet) predation on deepwater sculpin (Myoxocephalus thompsonii)","docAbstract":"<p><span>Foraging characteristics of siscowet lake trout (</span><i class=\"EmphasisTypeItalic \">Salvelinus namaycush siscowet</i><span>) on deepwater sculpin (</span><i class=\"EmphasisTypeItalic \">Myoxocephalus thompsonii</i><span>) were studied under ecologically relevant downwelling light intensities (9.0 × 10</span><sup>8</sup><span>&nbsp;to 1.62 × 10</span><sup>11</sup><span>&nbsp;photons&nbsp;m</span><sup>−2</sup><span>&nbsp;s</span><sup>−1</sup><span>) and emission spectrum (500–510&nbsp;nm) on varying substrates (gravel, sand, and black fabric). Siscowet reaction distance within our trials increased with light intensity up to 6.0 × 10</span><sup>9</sup><span>&nbsp;photons m</span><sup>−2</sup><span>&nbsp;s</span><sup>−1</sup><span>, after which reaction distance remained constant with additional increases in light intensity following the Michaelis–Menten saturation function. Reaction distances were not affected by substrate type under any light intensity. The number of prey captures also increased with increasing light intensity, with most orientations toward prey occurring within the siscowet’s forward sector (± 0°–60°, where 0° represents the tip of the siscowet rostrum). Finally, the overall probability of prey capture was positively related to reaction distance at each light intensity. Results suggest that siscowet can visually forage on benthic prey at great depth in Lake Superior, and reaction distance (≤ 27&nbsp;cm) to sculpin may not diminish until depths exceed 200&nbsp;m (6.00 × 10</span><sup>9</sup><span>&nbsp;photons m</span><sup>−2</sup><span>&nbsp;s</span><sup>−1</sup><span>).</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10750-019-3944-5","usgsCitation":"Keyler, T.D., Hrabik, T.R., Mensinger, A.F., Rogers, L.S., and Gorman, O., 2019, Effect of light intensity and substrate type on siscowet lake trout (Salvelinus namaycush siscowet) predation on deepwater sculpin (Myoxocephalus thompsonii): Hydrobiologia, p. 1-12, https://doi.org/10.1007/s10750-019-3944-5.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-103443","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":490063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10750-019-3944-5","text":"Publisher Index Page"},{"id":365487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365479,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1007/s10750-019-3944-5"}],"country":"United States, Canada","otherGeospatial":"Lake  Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.74658203125,\n              46.483264729155586\n            ],\n            [\n              -84.00146484374999,\n              46.483264729155586\n            ],\n            [\n              -84.00146484374999,\n              49.13859653703879\n            ],\n            [\n              -92.74658203125,\n              49.13859653703879\n            ],\n            [\n              -92.74658203125,\n              46.483264729155586\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Keyler, Trevor D.","contributorId":150850,"corporation":false,"usgs":false,"family":"Keyler","given":"Trevor","email":"","middleInitial":"D.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":765999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hrabik, Thomas R.","contributorId":35614,"corporation":false,"usgs":false,"family":"Hrabik","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":766000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mensinger, Allen F.","contributorId":150852,"corporation":false,"usgs":false,"family":"Mensinger","given":"Allen","email":"","middleInitial":"F.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":766001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rogers, Loranzie S","contributorId":216890,"corporation":false,"usgs":false,"family":"Rogers","given":"Loranzie","email":"","middleInitial":"S","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":766002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gorman, Owen 0000-0003-0451-110X","orcid":"https://orcid.org/0000-0003-0451-110X","contributorId":216889,"corporation":false,"usgs":true,"family":"Gorman","given":"Owen","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":765998,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211903,"text":"70211903 - 2019 - The current unlikely earthquake hiatus at California’s transform boundary paleoseismic sites","interactions":[],"lastModifiedDate":"2020-08-11T19:12:01.84462","indexId":"70211903","displayToPublicDate":"2019-04-03T14:05:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The current unlikely earthquake hiatus at California’s transform boundary paleoseismic sites","docAbstract":"<p><span>Paleoseismic and historical earthquake records used to quantify earthquake recurrence rates can also be used to test the likelihood of seismically quiescent periods. At principal paleoseismic sites in California on the San Andreas, San Jacinto, Elsinore, and Hayward faults, no ground‐rupturing earthquake has occurred in the last 100&nbsp;yr, yet this interval is about three times the average interearthquake period for the ensemble of sites. We examine long paleoseismic records from these faults, as they carry most of the transform fault slip on the plate boundary, to see if the current hiatus has any precedent in the last 1000&nbsp;yr. The selection of sites is designed to sample fault sections unlikely to have ruptured together, so their conditional probabilities of a hiatus can be combined as independent events. We find a 100‐yr hiatus is not predicted by common time‐dependent or time‐independent recurrence models. Paleoearthquake dating uncertainties can allow long open intervals at individual sites or subsets of sites, but do not explain the observed gap in the ensemble. After approximately removing redundancies in the full paleoearthquake record, the time‐independent probability of the current 100‐yr gap is of order 0.3%. This raises several questions. Do we live in a statistically exceptional time? Or does some wide‐scale effect modulate earthquake occurrence among sites over longer timescales? Finally, how should we understand seismic hazard estimates in California if the recurrence models on which they rely seem, at minimum, incomplete? Whether due to a statistical anomaly, some longer‐term modulation of earthquake occurrence, or another cause, our results emphasize that the hiatus of the last century has been exceptional.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220180244","usgsCitation":"Biasi, G., and Scharer, K., 2019, The current unlikely earthquake hiatus at California’s transform boundary paleoseismic sites: Seismological Research Letters, v. 90, no. 3, p. 1168-1176, https://doi.org/10.1785/0220180244.","productDescription":"9 p.","startPage":"1168","endPage":"1176","ipdsId":"IP-099541","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":377371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Elsinore Fault, Hayward Fault, San Andreas Fault, San Jacinto Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.20214843749999,\n              32.509761735919426\n            ],\n            [\n              -115.20263671874999,\n              32.65787573695528\n            ],\n            [\n              -114.67529296874999,\n              32.80574473290688\n            ],\n            [\n              -115.09277343749999,\n              34.19817309627726\n            ],\n            [\n              -118.7841796875,\n              37.68382032669382\n            ],\n            [\n              -120.9375,\n              39.774769485295465\n            ],\n            [\n              -121.6845703125,\n              40.83043687764923\n            ],\n            [\n              -124.5849609375,\n              40.51379915504413\n            ],\n            [\n              -123.99169921875,\n              38.92522904714054\n            ],\n            [\n              -122.78320312499999,\n              36.932330061503144\n            ],\n            [\n              -121.33300781249999,\n              35.08395557927643\n            ],\n            [\n              -120.234375,\n              33.87041555094183\n            ],\n            [\n              -117.20214843749999,\n              32.509761735919426\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"90","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-04-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Biasi, Glenn 0000-0003-0940-5488 gbiasi@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-5488","contributorId":195946,"corporation":false,"usgs":true,"family":"Biasi","given":"Glenn","email":"gbiasi@usgs.gov","affiliations":[],"preferred":true,"id":795730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scharer, Katherine M. 0000-0003-2811-2496","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":217361,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":795731,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70202939,"text":"70202939 - 2019 - Which trees die during drought?  The key role of insect host-tree selection","interactions":[],"lastModifiedDate":"2019-08-29T11:36:00","indexId":"70202939","displayToPublicDate":"2019-04-03T12:31:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Which trees die during drought?  The key role of insect host-tree selection","docAbstract":"1.  During drought, the tree subpopulations (such as size or vigor classes) that suffer disproportionate mortality can be conceptually arrayed along a continuum defined by the actions of biotic agents, particularly insects.  At one extreme, stress dominates:  insects are absent or simply kill the most physiologically stressed trees.  At the opposite extreme, host selection dominates:  outbreaking insects kill trees independently of their stress, instead selecting trees based on size or other traits.  Intermediate responses are also possible.  Yet for mixed-species forests, we lack a broad understanding of the relative importance of insects in determining exactly which subpopulations of trees suffer disproportionate mortality during drought, and whether these subpopulations differ among co-occurring tree species.\n2.  During an extreme drought, we documented the roles of native bark beetles in the mortality of five tree species in California’s Sierra Nevada.  We analyzed patterns and agents of tree mortality in 12 permanent plots, and patterns of mortality in 89 temporary plots.\n3.  Most tree mortality was associated with bark beetles.  But the growth rates (an indicator of chronic stress) and sizes of trees that suffered greatest bark-beetle-related mortality differed sharply among tree taxa, variously conforming with domination by stress (Abies concolor), domination by host selection (Pinus lambertiana and P. ponderosa), or a mix of the two (Calocedrus decurrens).  Quercus kelloggii mortality remained relatively low.  Thus, even during extreme drought substantial proportions of stressed trees survived because they were of sizes that mostly avoided fatal insect attack.  Conversely, substantial proportions of comparatively unstressed trees died because they were of sizes that were selectively killed by outbreaking insects.\n4.  Synthesis.  Native bark beetles were primarily responsible for determining which subpopulations of trees suffered greatest mortality during drought.  However, idiosyncratic host-tree selection by the different bark beetle taxa meant that the tree subpopulations suffering greatest mortality differed strikingly among tree taxa – for example, high mortality of small trees of one species, but of large trees of another.  If idiosyncratic host-tree selection by biotic mortality agents proves to be a generally common phenomenon, it could help explain weak broad-scale correlations between tree traits and tree mortality during drought.","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13176","usgsCitation":"Stephenson, N.L., Das, A., Ampersee, N.J., Bulaon, B.M., and Yee, J.L., 2019, Which trees die during drought?  The key role of insect host-tree selection: Journal of Ecology, v. 107, no. 5, p. 2383-2401, https://doi.org/10.1111/1365-2745.13176.","productDescription":"19 p.","startPage":"2383","endPage":"2401","ipdsId":"IP-106398","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467735,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.13176","text":"Publisher Index Page"},{"id":437511,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99RNGXH","text":"USGS data release","linkHelpText":"Tree mortality in Sequoia National Park from 2004 to 2007 and during severe drought in 2014 to 2017"},{"id":362836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"5","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":760556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":760557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ampersee, Nicholas J. 0000-0002-3950-3110 nampersee@usgs.gov","orcid":"https://orcid.org/0000-0002-3950-3110","contributorId":200203,"corporation":false,"usgs":true,"family":"Ampersee","given":"Nicholas","email":"nampersee@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":760558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bulaon, Beverly M","contributorId":214684,"corporation":false,"usgs":false,"family":"Bulaon","given":"Beverly","email":"","middleInitial":"M","affiliations":[{"id":39106,"text":"USDA Forest Service Forest Health Protection, South Sierra Shared Service Area, Stanislaus National Forest","active":true,"usgs":false}],"preferred":false,"id":760559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":760560,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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