{"pageNumber":"341","pageRowStart":"8500","pageSize":"25","recordCount":41079,"records":[{"id":70203466,"text":"70203466 - 2019 - Jump-starting coastal wetland restoration: A comparison of marsh and mangrove foundation species","interactions":[],"lastModifiedDate":"2020-03-20T13:15:33","indexId":"70203466","displayToPublicDate":"2019-05-06T14:16:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Jump-starting coastal wetland restoration: A comparison of marsh and mangrove foundation species","docAbstract":"During coastal wetland restoration, foundation plant species play a critical role in creating habitat, modulating ecosystem functions, and supporting ecological communities. Following initial hydrologic restoration, foundation plant species can help stabilize sediments and jump-start ecosystem development. Different foundation species, however, have different traits and environmental tolerances. To understand how these traits and tolerances impact restoration trajectories, there is a need for comparative studies among foundation species. In subtropical and tropical climates, coastal wetland restoration practitioners can sometimes choose between salt marsh and/or mangrove foundation species. Here, we compared the early life history traits and environmental tolerances of two foundation species: (1) a salt marsh grass (Spartina alterniflora), and (2) a mangrove tree (Avicennia germinans). In an 18-month study of a recently-restored coastal wetland in southeastern Louisiana (USA), we examined growth and survival along an elevation gradient and compared expansion and recruitment rates. We found that the rapid growth, expansion, and recruitment rates of the salt marsh grass make it a better species for quickly establishing ecological structure at suitable elevations. The slower growth, limited expansion, and lower recruitment of the mangrove species show its limited capacity for immediate structural restoration, especially in areas where it co-occurs with perennial salt marsh foundation species. Our findings suggest that the structural attributes needed in recently-restored areas (e.g., erosion control, vegetation structure) can be achieved more quickly using fast-growing foundation marsh species. Following salt marsh grass establishment, mangroves can then be used to further assist ecosystem development. This work highlights how appropriate foundation species can help jump-start ecosystem development to meet restoration objectives.","language":"English","publisher":"Wiley","doi":"10.1111/rec.12963","usgsCitation":"Yando, E.S., Osland, M., Jones, S., and Hester, M.W., 2019, Jump-starting coastal wetland restoration: A comparison of marsh and mangrove foundation species: Restoration Ecology, v. 27, no. 5, p. 1145-1154, https://doi.org/10.1111/rec.12963.","productDescription":"10 p.","startPage":"1145","endPage":"1154","ipdsId":"IP-102585","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":363909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"5","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yando, Erik S.","contributorId":127788,"corporation":false,"usgs":false,"family":"Yando","given":"Erik","email":"","middleInitial":"S.","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":762784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":215601,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":762783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Scott 0000-0002-1056-3785","orcid":"https://orcid.org/0000-0002-1056-3785","contributorId":215602,"corporation":false,"usgs":true,"family":"Jones","given":"Scott","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hester, Mark W.","contributorId":195572,"corporation":false,"usgs":false,"family":"Hester","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":34316,"text":"University of Louisiana at Lafayette, Lafayette, LA, USA","active":true,"usgs":false}],"preferred":false,"id":762786,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203418,"text":"70203418 - 2019 - Using the beta distribution to analyze plant cover data","interactions":[],"lastModifiedDate":"2023-03-27T22:36:11.861338","indexId":"70203418","displayToPublicDate":"2019-05-06T13:34:46","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":"Using the beta distribution to analyze plant cover data","docAbstract":"<p>Most plant species are spatially aggregated. Local demographic and ecological processes (e.g. vegetative growth and limited seed dispersal) result in a clustered spatial pattern within an environmentally homogenous area. Spatial aggregation should be considered when modelling plant abundance data.</p><p>Commonly, plant abundance is quantified by measuring cover within multiple areal plots or along multiple lines randomly placed within a study area. A common practice for analyzing plant cover is to use statistical methods that rely on the normal distribution for quantifying uncertainty. This is problematic because plant cover data tend to be left‐skewed (J‐shaped), right skewed (L‐shaped) or U‐shaped and, therefore, commonly violate classic statistical assumptions, such as normality.</p><p>We outline statistical analyses that explicitly account for spatial aggregation by assuming that plant cover is beta‐distributed. The beta distribution is a flexible choice because within the open unit interval it can take on a wide range of shapes (L, J, U, or a bell‐shaped). We discuss and introduce extensions to the beta distribution that address common analysis issues encountered in plant cover datasets, such as i) the treatment of zero and one cover values, ii) hierarchical data structures, and iii) observations errors. For heuristic purposes, we focus on single species analyses, but we demonstrate how the outlined methods can be generalized to more species.</p><p>The assumption that plant cover is beta‐distributed allows us to estimate the degree of spatial aggregation, and the ecological significance of this new knowledge is discussed. We provide a summary of available software for analyses (emphasizing standard R packages) and include worked examples and a simulation study comparing analysis options as supplemental information.</p><p><i>Synthesis</i>. Previously, the state of the statistical software made it practically difficult for empirical plant ecologists to analyze their cover data correctly, but new theory and R‐packages have been developed, and this difficulty no longer exists. We recommend that empirical plant ecologists embrace the new statistical possibilities for exploring the exciting ecological features in spatial variation of plant cover.</p>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2745.13200","usgsCitation":"Damgaard, C., and Irvine, K., 2019, Using the beta distribution to analyze plant cover data: Journal of Ecology, v. 107, no. 6, p. 2747-2759, https://doi.org/10.1111/1365-2745.13200.","productDescription":"13 p.","startPage":"2747","endPage":"2759","onlineOnly":"Y","ipdsId":"IP-097332","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467640,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.13200","text":"Publisher Index Page"},{"id":363781,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Damgaard, Christian","contributorId":215533,"corporation":false,"usgs":false,"family":"Damgaard","given":"Christian","email":"","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":762605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":214591,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":762604,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203756,"text":"70203756 - 2019 - Xenon hydrate as an analogue of methane hydrate in geologic systems out of thermodynamic equilibrium","interactions":[],"lastModifiedDate":"2019-06-18T12:24:39","indexId":"70203756","displayToPublicDate":"2019-05-06T09:06:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Xenon hydrate as an analogue of methane hydrate in geologic systems out of thermodynamic equilibrium","docAbstract":"<p><span>Methane hydrate occurs naturally under pressure and temperature conditions that are not straightforward to replicate experimentally. Xenon has emerged as an attractive laboratory alternative to methane for studying hydrate formation and dissociation in multiphase systems, given that it forms hydrates under milder conditions. However, building reliable analogies between the two hydrates requires systematic comparisons, which are currently lacking. We address this gap by developing a theoretical and computational model of gas hydrates under equilibrium and nonequilibrium conditions. We first compare equilibrium phase behaviors of the Xe·H</span><sub>2</sub><span>O and CH</span><sub>4</sub><span>·H</span><sub>2</sub><span>O systems by calculating their isobaric phase diagram, and then study the nonequilibrium kinetics of interfacial hydrate growth using a phase field model. Our results show that Xe·H</span><sub>2</sub><span>O is a good experimental analog to CH</span><sub>4</sub><span>·H</span><sub>2</sub><span>O, but there are key differences to consider. In particular, the aqueous solubility of xenon is altered by the presence of hydrate, similar to what is observed for methane; but xenon is consistently less soluble than methane. Xenon hydrate has a wider nonstoichiometry region, which could lead to a thicker hydrate layer at the gas‐liquid interface when grown under similar kinetic forcing conditions. For both systems, our numerical calculations reveal that hydrate nonstoichiometry coupled with hydrate formation dynamics leads to a compositional gradient across the hydrate layer, where the stoichiometric ratio increases from the gas‐facing side to the liquid‐facing side. Our analysis suggests that accurate composition measurements could be used to infer the kinetic history of hydrate formation in natural settings where gas is abundant.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GC008250","usgsCitation":"Fu, X., Waite, W., Cueto-Felgueroso, L., and Juanes, R., 2019, Xenon hydrate as an analogue of methane hydrate in geologic systems out of thermodynamic equilibrium: Geochemistry, Geophysics, Geosystems, v. 20, no. 5, p. 2462-2472, https://doi.org/10.1029/2019GC008250.","productDescription":"11 p.","startPage":"2462","endPage":"2472","ipdsId":"IP-104816","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":460389,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gc008250","text":"Publisher Index Page"},{"id":364547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Fu, Xiaojing 0000-0001-7120-704X","orcid":"https://orcid.org/0000-0001-7120-704X","contributorId":216142,"corporation":false,"usgs":false,"family":"Fu","given":"Xiaojing","email":"","affiliations":[],"preferred":false,"id":763987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":763988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cueto-Felgueroso, Luis","contributorId":216143,"corporation":false,"usgs":false,"family":"Cueto-Felgueroso","given":"Luis","email":"","affiliations":[],"preferred":false,"id":763989,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Juanes, Ruben","contributorId":216144,"corporation":false,"usgs":false,"family":"Juanes","given":"Ruben","email":"","affiliations":[],"preferred":false,"id":763990,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202241,"text":"fs20193001 - 2019 - The use of national datasets to produce an average annual water budget for the Mississippi Alluvial Plain, 2000–13","interactions":[],"lastModifiedDate":"2019-05-07T10:09:35","indexId":"fs20193001","displayToPublicDate":"2019-05-06T07:01:22","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":"2019-3001","displayTitle":"The Use of National Datasets to Produce an Average Annual Water Budget for the Mississippi Alluvial Plain, 2000–13","title":"The use of national datasets to produce an average annual water budget for the Mississippi Alluvial Plain, 2000–13","docAbstract":"<h1>Overview</h1><p>Water is a critically important resource for the Mississippi Alluvial Plain (MAP) region, supporting a multibillion-dollar agricultural industry. There are concerns that continued withdrawals of groundwater for irrigation may decrease future water supplies. The U.S. Geological Survey has a history of conducting research in the MAP region and recently began an effort to integrate multiple monitoring analyses and modeling to characterize and project water availability for the region. Here, we utilize the data and results from existing national-scale datasets and refine them to create long-term steady state annual water budgets at a regional scale (the MAP) from 2000 to 2013. The water budget is described and mapped as the distribution of available water into three components: (1) evapotranspiration (65 percent); (2) quickflow runoff to streams (27 percent); and (3) groundwater recharge (8 percent). We also present a comparison of long-term recharge rates with groundwater extraction rates. These results will be useful as a starting point for the water budget and evaluations of future water availability in the MAP.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193001","usgsCitation":"Reitz, M., and Kress, W.H., The use of national datasets to produce an average annual water budget for the Mississippi Alluvial Plain, 2000–13: U.S. Geological Survey Fact Sheet 2019–3001, 4 p., https://doi.org/10.3133/fs20193001.","productDescription":"Report: 4 p.; Data Release","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-095792","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":363443,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3001/coverthb.jpg"},{"id":363444,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3001/fs20193001.pdf","text":"Report","size":"2.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3001"},{"id":363447,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PN93P0","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Annual estimates of recharge, quick-flow runoff, and ET for the contiguous US using empirical regression equations, 2000–2013"}],"country":"United States","state":"Arkansas, Kentucky, Louisiana, Mississippi, Missouri, Texas","otherGeospatial":"Mississippi Alluvial Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.3173828125,\n              29.075375179558346\n            ],\n            [\n              -87.5830078125,\n              29.075375179558346\n            ],\n            [\n              -87.5830078125,\n              37.38761749978395\n            ],\n            [\n              -95.3173828125,\n              37.38761749978395\n            ],\n            [\n              -95.3173828125,\n              29.075375179558346\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water\" href=\"https://www.usgs.gov/centers/lmg-water\">Lower Mississippi-Gulf Water Science Center</a> <br>U.S. Geological Survey<br>640 Grassmere Park Drive <br>Nashville, TN 37211</p>","tableOfContents":"<ul><li>Overview</li><li>Introduction</li><li>Water Budget Estimates</li><li>Water-Use Data</li><li>Average Water Budgets for 2000–13</li><li>Recharge to Extraction Rate Comparison</li><li>Conclusions and Outlook</li><li>Acknowledgments</li><li>References</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-05-06","noUsgsAuthors":false,"publicationDate":"2019-05-06","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":757451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kress, Wade 0000-0002-6833-028X","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":203539,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757452,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203497,"text":"70203497 - 2019 - Spatial variation in aquatic invertebrate and riparian songbird mercury exposure across a river-reservoir system with a legacy of mercury contamination","interactions":[],"lastModifiedDate":"2023-03-27T22:26:01.232365","indexId":"70203497","displayToPublicDate":"2019-05-05T12:56:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial variation in aquatic invertebrate and riparian songbird mercury exposure across a river-reservoir system with a legacy of mercury contamination","docAbstract":"Mercury (Hg) loading and methylation in aquatic systems causes a variety of deleterious effects for fish and wildlife populations. Relatively little research has focused on Hg movement into riparian food webs and how this is modulated by habitat characteristics. This study characterized differences in Hg exposure in aquatic invertebrates and riparian songbirds across a large portion of the Willamette River system in western Oregon, starting at a Hg-contaminated Superfund site in the headwaters (Black Butte Hg Mine) and including a reservoir known to methylate Hg (Cottage Grove Reservoir), all downstream reaches (Coast Fork and Willamette River) and off-channel wetland complexes (Willamette Valley National Wildlife Refuge Complex). After accounting for year, date, and site differences in a mixed effects model, MeHg concentrations in aquatic invertebrates varied spatially among habitat categories and invertebrate orders. Similarly, THg in songbird blood varied by among habitat categories and bird species. The highest Hg concentrations occurred near the Hg mine, but Hg did not decline linearly with distance from the source of contamination. Birds were consistently elevated in Hg in habitats commonly associated with enhanced MeHg production, such as backwater or wetlands. We found a positive but weak correlation between aquatic invertebrate MeHg concentrations and songbird THg concentrations on a site-specific basis. Our findings suggest that Hg risk to riparian songbirds can extend beyond point-source contaminated areas, highlighting the importance of assessing exposure in surrounding habitats where methylmercury production may be elevated, such as reservoirs and wetlands.","language":"English","publisher":"Springer","doi":"10.1007/s10646-019-02043-z","usgsCitation":"Jackson, A., Eagles-Smith, C.A., and Emery, C., 2019, Spatial variation in aquatic invertebrate and riparian songbird mercury exposure across a river-reservoir system with a legacy of mercury contamination: Ecotoxicology, v. 29, p. 1195-1204, https://doi.org/10.1007/s10646-019-02043-z.","productDescription":"10 p.","startPage":"1195","endPage":"1204","ipdsId":"IP-101795","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":363955,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Center","active":false,"usgs":true}],"preferred":true,"id":762875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Emery, Colleen 0000-0002-1208-3224","orcid":"https://orcid.org/0000-0002-1208-3224","contributorId":215534,"corporation":false,"usgs":true,"family":"Emery","given":"Colleen","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":762877,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203329,"text":"ofr20191052 - 2019 - Preliminary stage and streamflow data at selected U.S. Geological Survey streamgages in New England for the floods of April 2019","interactions":[],"lastModifiedDate":"2019-05-07T10:20:57","indexId":"ofr20191052","displayToPublicDate":"2019-05-03T13:57:08","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":"2019-1052","displayTitle":"Preliminary Stage and Streamflow Data at Selected U.S. Geological Survey Streamgages in New England for the Floods of April 2019","title":"Preliminary stage and streamflow data at selected U.S. Geological Survey streamgages in New England for the floods of April 2019","docAbstract":"<p>The combination of rainfall and snowmelt in northern New England and rainfall in southern New England resulted in minor to major flooding from April 15 to 24, 2019, according to stage and streamflow data collected at 63 selected U.S. Geological Survey (USGS) streamgages. A typical USGS streamgage measures and records stream stage and estimates streamflow based on a relation (rating curve) of discrete measurements of streamflow and the recorded stage. USGS hydrographers were deployed during and after these storms to measure the streamflow of the flooded rivers and confirm streamgage rating curves.</p><p>Preliminary Data Indicate... <br></p><ul><li>The National Weather Service flood stage was reached at 36 USGS streamgages selected for monitoring; the minor flood stage category was reached at 30 streamgages, moderate flood stage category at 5 streamgages, and major flood stage category at 1 streamgage.</li><li>Peak streamflows for the period of record occurred at three streamgages in Maine. Of these, the peak at the St. John River at Ninemile Bridge, Maine streamgage was the highest in its 67-year period of record.</li><li>A total of 30 streamgages—15 streamgages in Maine, 9 in Vermont, 4 in New Hampshire, and 1 each in Connecticut and Massachusetts—recorded peak streamflows within the top 10 for their period of record. Two of these streamgages, the Clyde River at Newport, Vermont and the Saco River at Cornish, Maine, have periods of record greater than 100 years.</li><li>In total, USGS hydrographers made more than 210 streamflow measurements during the April 15–24 floods in New England.<br></li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191052","usgsCitation":"Kiah, R.G, Smith, B.A. and Stasulis, N.W., 2019, Preliminary stage and streamflow data at selected U.S. Geological Survey streamgages in New England for the floods of April 2019: U.S. Geological Survey Open-File Report 2019–1051, 8 p., https://doi.org/10.3133/ofr20191052.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","ipdsId":"IP-107824","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":363510,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1052/coverthb.jpg"},{"id":363511,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1052/ofr20191052.pdf","text":"Report","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1052"}],"country":"United States","state":"Maine, Vermont, New Hampshire, Massachusetts, Rhode Island, 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 \"}}]}","contact":"<p><a data-mce-href=\"mailto:dc_nweng@usgs.gov\" href=\"mailto:dc_nweng@usgs.gov\" target=\"_blank\" rel=\"noopener\">Director</a>,<br><a data-mce-href=\"https://newengland.water.usgs.gov/\" href=\"https://newengland.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\">New England Water Science Center</a><br><a data-mce-href=\"https://usgs.gov/\" href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>331 Commerce Way, Suite 2<br>Pembroke, NH 03275<br></p>","tableOfContents":"<ul style=\"color: #222222; font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;\" data-mce-style=\"color: #222222; font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;\"><li>Preliminary Data Indicate</li><li>Study Area</li><li>Timeline for the Storms</li><li>U.S. Geological Survey Storm-Related Data</li><li>General Weather Conditions</li><li>Methods Used To Collect Streamflow Data</li><li>Floods of April 15–24, 2019</li><li>Summary</li><li><span style=\"font-size: 11pt; line-height: 16.8667px; font-family: Calibri, sans-serif;\" data-mce-style=\"font-size: 11pt; line-height: 16.8667px; font-family: Calibri, sans-serif;\">References Cited</span></li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-05-03","noUsgsAuthors":false,"publicationDate":"2019-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kiah, Richard G. 0000-0001-6236-2507 rkiah@usgs.gov","orcid":"https://orcid.org/0000-0001-6236-2507","contributorId":2637,"corporation":false,"usgs":true,"family":"Kiah","given":"Richard","email":"rkiah@usgs.gov","middleInitial":"G.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Brianna A. 0000-0003-4426-000X","orcid":"https://orcid.org/0000-0003-4426-000X","contributorId":215359,"corporation":false,"usgs":true,"family":"Smith","given":"Brianna","email":"","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stasulis, Nicholas W. 0000-0001-7645-4867 nstasuli@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-4867","contributorId":4520,"corporation":false,"usgs":true,"family":"Stasulis","given":"Nicholas","email":"nstasuli@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762164,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203879,"text":"70203879 - 2019 - Soil physical, hydraulic, and thermal properties in interior Alaska, USA: Implications for hydrologic response to thawing permafrost conditions","interactions":[],"lastModifiedDate":"2019-06-18T14:14:41","indexId":"70203879","displayToPublicDate":"2019-05-02T14:14:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Soil physical, hydraulic, and thermal properties in interior Alaska, USA: Implications for hydrologic response to thawing permafrost conditions","docAbstract":"Boreal forest regions are a focal point for investigations of coupled water and biogeochemical fluxes in response to wildfire disturbances, climate warming, and permafrost thaw. Soil hydraulic, physical, and thermal property measurements for mineral soils in permafrost regions are limited, despite substantial influences on cryohydrogeologic model results. This work expands mineral soil property quantification in cold regions through soil characterization from the discontinuous permafrost zone of interior Alaska, USA. Values extend beyond the range of prior measurement magnitudes in analogous regions, highlighting the importance of this dataset. Rocky and silty upland soil landscape classifications and wildfire disturbance provided guiding frameworks for the sampling and analysis for potential implications for the hydrologic response to thawing permafrost. Bulk density, soil organic matter, soil–particle size distributions (sand, silt, and gravel fractions), and soil hydraulic properties of van Genuchten parameters alpha and N had moderate evidence of differences between silty and rocky classifications. Burned and unburned sites had only moderate evidence of differences for silt fraction. Field-saturated hydraulic conductivity (Kfs) was more variable at burned sites compared to unburned sites, which corresponded to observations of greater rooting depths at burned sites and observations of root paths in soil cores for Kfs measurement. Soil thermal properties suggested that gravel content may reduce the accuracy of commonly used estimation methods for thermal conductivity . This work provides soil parameter constraints necessary for hypothesis testing and site-specific prediction with cryohydrogeologic models to examine controls on active layer and permafrost dynamics in upland boreal forests.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018WR023673","usgsCitation":"Ebel, B., Koch, J.C., and Walvoord, M.A., 2019, Soil physical, hydraulic, and thermal properties in interior Alaska, USA: Implications for hydrologic response to thawing permafrost conditions: Water Resources Research, v. 55, p. 4427-4447, https://doi.org/10.1029/2018WR023673.","productDescription":"21 p.","startPage":"4427","endPage":"4447","ipdsId":"IP-101336","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":364791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Interior Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152.5341796875,\n              64.1297836764257\n            ],\n            [\n              -144.580078125,\n              64.1297836764257\n            ],\n            [\n              -144.580078125,\n              69.41124235697256\n            ],\n            [\n              -152.5341796875,\n              69.41124235697256\n            ],\n            [\n              -152.5341796875,\n              64.1297836764257\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":764576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":764577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":764578,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203256,"text":"70203256 - 2019 - In ovo exposure to brominated flame retardants Part II: Assessment of effects of TBBPA-BDBPE and BTBPE on hatching success, morphometric and physiological endpoints in American kestrels","interactions":[],"lastModifiedDate":"2023-03-27T22:43:42.728712","indexId":"70203256","displayToPublicDate":"2019-05-02T07:28:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<i>In ovo</i> exposure to brominated flame retardants Part II: Assessment of effects of TBBPA-BDBPE and BTBPE on hatching success, morphometric and physiological endpoints in American kestrels","title":"In ovo exposure to brominated flame retardants Part II: Assessment of effects of TBBPA-BDBPE and BTBPE on hatching success, morphometric and physiological endpoints in American kestrels","docAbstract":"<p><span>Tetrabromobisphenol A bis(2,3-dibromopropyl ether) (TBBPA-BDBPE) and 1,2-bis(2,4,6-tribromophenoxy)ethane (BTPBE) are both brominated&nbsp;flame retardants&nbsp;(BFRs) that have been detected in birds; however, their potential biological effects are largely unknown. We assessed the effects of embryonic exposure to TBBPA-BDBPE and BTBPE in a model avian predator, the American kestrel (</span><i>Falco sparverius</i><span>). Fertile eggs from a&nbsp;captive population&nbsp;of kestrels were injected on embryonic day 5 (ED5) with a vehicle control or one of three doses within the range of concentrations that have been detected in biota (nominal concentrations of 0, 10, 50 or 100 ng/g egg; measured concentrations 0, 3.0, 13.7 or 33.5 ng TBBPA-BDBPE/g egg and 0, 5.3, 26.8 or 58.1 ng BTBPE/g egg). Eggs were artificially incubated until hatching (ED28), at which point blood and tissues were collected to measure morphological and physiological endpoints, including organ somatic indices, circulating and glandular thyroid hormone concentrations,&nbsp;thyroid gland&nbsp;histology, hepatic deiodinase activity, and markers of&nbsp;oxidative stress. Neither compound had any effects on embryo survival through 90% of the incubation period or on hatching success, body mass, organ size, or oxidative stress of hatchlings. There was evidence of sex-specific effects in the thyroid system responses to the BTBPE exposures, with type 2 deiodinase (D2) activity decreasing at higher doses in female, but not in male hatchlings, suggesting that females may be more sensitive to BTBPE. However, there were no effects of TBBPA-BDBPE on the thyroid system in kestrels. For the BTPBE study, a subset of high-dose eggs was collected throughout the incubation period to measure changes in BTBPE concentrations. There was no decrease in BTBPE over the incubation period, suggesting that BTBPE is slowly metabolized by kestrel embryos throughout their ∼28-d development. These two compounds, therefore, do not appear to be particularly toxic to embryos of the American kestrel.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoenv.2019.04.047","usgsCitation":"Eng, M., Karouna-Renier, N., Henry, P.F., Letcher, R.J., Schultz, S.L., Bean, T.G., Peters, L.E., Palace, V.P., Williams, T.D., Elliott, J., and Fernie, K.J., 2019, In ovo exposure to brominated flame retardants Part II: Assessment of effects of TBBPA-BDBPE and BTBPE on hatching success, morphometric and physiological endpoints in American kestrels: Ecotoxicology and Environmental Safety, v. 179, p. 151-159, https://doi.org/10.1016/j.ecoenv.2019.04.047.","productDescription":"9 p.","startPage":"151","endPage":"159","ipdsId":"IP-105952","costCenters":[{"id":267,"text":"Environmental and Contaminants Research Center","active":false,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467645,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoenv.2019.04.047","text":"Publisher Index Page"},{"id":437475,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P999473N","text":"USGS data release","linkHelpText":"In ovo exposure to brominated flame retardants Part II: Assessment of effects of TBBPA-BDBPE and BTBPE on hatching success, morphometric and physiological endpoints in American kestrels"},{"id":363477,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"179","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eng, Margaret","contributorId":215245,"corporation":false,"usgs":false,"family":"Eng","given":"Margaret","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":761913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":761912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":761914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Letcher, Robert J.","contributorId":176209,"corporation":false,"usgs":false,"family":"Letcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":761915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schultz, Sandra L. 0000-0003-3394-2857 sschultz@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-2857","contributorId":5966,"corporation":false,"usgs":true,"family":"Schultz","given":"Sandra","email":"sschultz@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":761917,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bean, Thomas G. 0000-0002-3577-1994 tbean@usgs.gov","orcid":"https://orcid.org/0000-0002-3577-1994","contributorId":205287,"corporation":false,"usgs":false,"family":"Bean","given":"Thomas","email":"tbean@usgs.gov","middleInitial":"G.","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":761916,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peters, Lisa E.","contributorId":176211,"corporation":false,"usgs":false,"family":"Peters","given":"Lisa","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":761918,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Palace, Vince P.","contributorId":176210,"corporation":false,"usgs":false,"family":"Palace","given":"Vince","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":761919,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams, Tony D.","contributorId":202813,"corporation":false,"usgs":false,"family":"Williams","given":"Tony","email":"","middleInitial":"D.","affiliations":[{"id":29801,"text":"Department of Biological Sciences, Simon Fraser University, Burnaby, BC","active":true,"usgs":false}],"preferred":false,"id":761920,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Elliott, John E.","contributorId":127368,"corporation":false,"usgs":false,"family":"Elliott","given":"John E.","affiliations":[{"id":6779,"text":"Environment Canada, Burlington, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":761921,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fernie, Kim J.","contributorId":211241,"corporation":false,"usgs":false,"family":"Fernie","given":"Kim","email":"","middleInitial":"J.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":761922,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70203258,"text":"70203258 - 2019 - In ovo exposure to brominated flame retardants Part I: Assessment of effects of TBBPA-BDBPE on survival, morphometric and physiological endpoints in zebra finches","interactions":[],"lastModifiedDate":"2019-05-02T07:53:24","indexId":"70203258","displayToPublicDate":"2019-05-02T07:24:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"In ovo exposure to brominated flame retardants Part I: Assessment of effects of TBBPA-BDBPE on survival, morphometric and physiological endpoints in zebra finches","docAbstract":"Tetrabromobisphenol A bis(2,3-dibromopropyl) ether (TBBPA-BDBPE) is an additive flame retardant used in polyolefins and polymers. It has been detected in biota, including in avian eggs, yet little is known of its effects. We assessed the pattern of TBBPA-BDBPE concentrations in songbird eggs over the incubation period, and the effects of embryonic exposure to TBBPA-BDBPE in a model songbird species, the zebra finch (Taeniopygia guttata). To assess concentrations during embryo development, eggs were injected on the day they were laid with the vehicle control (safflower oil) or 100 ng TBBPA-BDBPE/g egg, and whole egg contents were collected throughout embryonic development on day 0 (unincubated), 5, 10 and 13. To evaluate effects of embryonic exposure to TBBPA-BDBPE, eggs were injected at Hamburger-Hamilton stage 18 (~80 hours after initiation of incubation) with safflower oil only, 10, 50 or 100 ng TBBPA-BDBPE/g egg (albumin injection volume 1 µl/g). Eggs were monitored for hatching success, and nestlings were monitored for growth and survival. At 15 days post-hatch, tissues were collected to assess physiological effects. TBBPA-BDBPE was incorporated into the egg as the embryo developed, and concentrations started declining in late incubation, suggesting biotransformation by the embryo. There were no effects on hatching success, nestling survival, growth, organ somatic indices, or thyroid hormone homeostasis; however, there was evidence that body condition declined in a dose-dependent manner towards the end of the rapid nestling growth phase. This decreased body condition could be a delayed effect of early developmental exposure, or it may be the result of increased exposure to biotransformation products of TBBPA-BDBPE produced over the nestling period, which are predicted to be more bioaccumulative and toxic than the parent compound.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoenv.2019.04.048","usgsCitation":"Eng, M., Williams, T.D., Fernie, K.J., Karouna-Renier, N., Henry, P.F., Letcher, R.J., and Elliott, J., 2019, In ovo exposure to brominated flame retardants Part I: Assessment of effects of TBBPA-BDBPE on survival, morphometric and physiological endpoints in zebra finches: Ecotoxicology and Environmental Safety, v. 179, p. 104-110, https://doi.org/10.1016/j.ecoenv.2019.04.048.","productDescription":"7 p.","startPage":"104","endPage":"110","onlineOnly":"Y","ipdsId":"IP-105993","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoenv.2019.04.048","text":"Publisher Index Page"},{"id":363475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"179","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eng, Margaret","contributorId":215245,"corporation":false,"usgs":false,"family":"Eng","given":"Margaret","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":761940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Tony D.","contributorId":202813,"corporation":false,"usgs":false,"family":"Williams","given":"Tony","email":"","middleInitial":"D.","affiliations":[{"id":29801,"text":"Department of Biological Sciences, Simon Fraser University, Burnaby, BC","active":true,"usgs":false}],"preferred":false,"id":761941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fernie, Kim J.","contributorId":211241,"corporation":false,"usgs":false,"family":"Fernie","given":"Kim","email":"","middleInitial":"J.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":761942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":761939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":761943,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Letcher, Robert J.","contributorId":176209,"corporation":false,"usgs":false,"family":"Letcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":761944,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Elliott, John E.","contributorId":127368,"corporation":false,"usgs":false,"family":"Elliott","given":"John E.","affiliations":[{"id":6779,"text":"Environment Canada, Burlington, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":761945,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204450,"text":"70204450 - 2019 - Spatial and temporal variability of fish assemblages in acidified streams: Implications for long-term monitoring","interactions":[],"lastModifiedDate":"2019-07-25T13:10:27","indexId":"70204450","displayToPublicDate":"2019-05-01T13:09:11","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"Report 19-29","title":"Spatial and temporal variability of fish assemblages in acidified streams: Implications for long-term monitoring","docAbstract":"Numerous studies have established strong linkages between acid deposition, soil and surface-water acidification, and toxicity to aquatic biota. Little is known however, about the effects of acidification on fish assemblages in headwater streams because they are highly variable, and pre-acidification data are often lacking. The primary purpose of this study was to describe spatial and interannual (temporal) variability of fish assemblages in headwater streams affected by acidification so that future recovery targets and monitoring strategies can be established. Fish communities and water chemistry were sampled at 48 headwater streams in the Western Adirondack Mountains of New York during the summers of 2014 to 2016 to characterize the present-day condition of water quality and local fish assemblages. Additionally, data from six Adirondack streams that were sampled annually from 2014-16 were combined with data from seven streams in the Catskill Mountain region sampled annually for three or more years for an analysis of temporal variability. Inorganic monomeric aluminum concentrations (Ali, the toxic form of Al) were less than 1.0 µmol L-1, between 1 and 2 µmol L-1, and greater than 2 µmol L-1 in 79%, 13%, and 8% of the 48 Adirondack streams. Richness, abundance, and biomass of fish assemblages were negatively related to Ali concentrations. In streams with Ali concentrations less than 1.0 µmol L-1, species richness, density, and biomass averaged 2.0 species, 444.2 fish/0.1 ha, and 1924.4 g/0.1 ha, respectively, and the density and biomass of Brook Trout populations averaged 280.8 fish/0.1 ha and 1384.0 g/0.1 ha. These values may provide a reasonable approximation of fish community condition prior to anthropogenic acidification and can be used as targets for assessing future recovery of acidified streams. A power analysis that considered 21 fish metrics indicated a strong negative relationship between interannual metric variability and statistical power for detecting change over time. Large differences were identified in the sample size necessary to achieve adequate power (0.8) depending on the metric utilized. In general, greater statistical power was obtained from metrics based on entire fish communities and from metrics standardized by reach length or sampling effort. Given the variability observed in our dataset, most metrics could detect a change of 30% with moderate effort, suggesting this may be an appropriate goal for future monitoring. Together, knowledge of biological recovery targets and the statistical power obtained from various fish metrics can be used to develop the most effective strategies for monitoring and assessing biological recovery in New York streams.","language":"English","publisher":"New York State Energy Research and Development Authority","collaboration":"NYSERDA","usgsCitation":"George, S.D., Baldigo, B.P., and Lawrence, G.B., 2019, Spatial and temporal variability of fish assemblages in acidified streams: Implications for long-term monitoring, 28 p.","productDescription":"28 p.","ipdsId":"IP-105913","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":365954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365908,"type":{"id":15,"text":"Index 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York\",\"nation\":\"USA  \"}}]}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766962,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204435,"text":"70204435 - 2019 - Spatially-structured statistical network models for landscape genetics","interactions":[],"lastModifiedDate":"2020-02-19T13:38:01","indexId":"70204435","displayToPublicDate":"2019-05-01T12:38:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Spatially-structured statistical network models for landscape genetics","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>A basic understanding of how the landscape impedes, or creates resistance to, the dispersal of organisms and hence gene flow is paramount for successful conservation science and management. Spatially structured ecological networks are often used to represent spatial landscape‐genetic relationships, where nodes represent individuals or populations and resistance to movement is represented using non‐binary edge weights. Weights are typically assigned or estimated by the user, rather than observed, and validating such weights is challenging. We provide a synthesis of current methods used to estimate edge weights and an overview of common model types, stressing the advantages and disadvantages of each approach and their ability to model landscape‐genetic data. We further explore a set of spatial‐statistical methods that provide ecologists with alternative approaches for modeling spatially explicit processes that may affect genetic structure. This includes an overview of spatial autoregressive models, with a particular focus on how correlation and partial correlation are used to represent neighborhood structure with the inverse of the covariance matrix (i.e., precision matrix). We then demonstrate how to model resistance by specifying an appropriate statistical model on the nodes, conditioned on the edge weights, through the precision matrix. This integration of network ecology and spatial statistics provides a practical analytical framework for landscape‐genetic studies. The results can be used to make statistical inferences about the relative importance of individual landscape characteristics, such as the vegetative cover, hillslope, or the presence of roads or rivers, on gene flow. In addition, the R code we include allows readers to explore landscape‐genetic structure in their own datasets, which will potentially provide new insights into the evolutionary processes that generated ecological networks, as well as valuable information about the optimal characteristics of conservation corridors.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ecm.1355","usgsCitation":"Hooten, M., 2019, Spatially-structured statistical network models for landscape genetics: Ecological Monographs, v. 89, no. 2, e01355, 14 p., https://doi.org/10.1002/ecm.1355.","productDescription":"e01355, 14 p.","ipdsId":"IP-082869","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467647,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecm.1355","text":"External Repository"},{"id":365946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":766901,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203424,"text":"70203424 - 2019 - Success of lake restoration depends on spatial aspects of nutrient loading and hydrology","interactions":[],"lastModifiedDate":"2019-05-14T12:24:37","indexId":"70203424","displayToPublicDate":"2019-05-01T12:24:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Success of lake restoration depends on spatial aspects of nutrient loading and hydrology","docAbstract":"Many aquatic ecosystems have deteriorated due to human activities and their restoration is often troublesome. It is proposed here that the restoration success of deteriorated lakes critically depends on hitherto largely neglected spatial heterogeneity in nutrient loading and hydrology. A modelling approach is used to study this hypothesis by considering four lake types with contrasting nutrient loading (point versus diffuse) and hydrology (seepage versus drainage). By comparing the longterm effect of common restoration measures (nutrient load reduction, lake flushing or biomanipulation) in these four lake types, we found that restoration through reduction of nutrient loading is effective in all cases. In contrast, biomanipulation only works in seepage lakes with diffuse nutrient inputs, while lake flushing will even be counterproductive in lakes with nutrient point sources. The main conclusion of the presented analysis is that a priori assessment of spatial heterogeneity caused by nutrient loading and hydrology is essential for successful restoration of lake ecosystems.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.04.443","usgsCitation":"Janssen, A.B., van Wijk, D., van Gerven, L.P., Bakker, E.S., Brederveld, R.J., DeAngelis, D.L., Janse, J.H., and Mooij, W.M., 2019, Success of lake restoration depends on spatial aspects of nutrient loading and hydrology: Science of the Total Environment, v. 679, p. 248-259, https://doi.org/10.1016/j.scitotenv.2019.04.443.","productDescription":"10 p.","startPage":"248","endPage":"259","ipdsId":"IP-074807","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467648,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.04.443","text":"Publisher Index Page"},{"id":363774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"679","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Janssen, Annette B. G.","contributorId":215552,"corporation":false,"usgs":false,"family":"Janssen","given":"Annette","email":"","middleInitial":"B. G.","affiliations":[{"id":39277,"text":"Dept. of Aquatic Ecology, Netherlands Institute of Ecology, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":762646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Wijk, Dianneke","contributorId":215557,"corporation":false,"usgs":false,"family":"van Wijk","given":"Dianneke","email":"","affiliations":[{"id":39277,"text":"Dept. of Aquatic Ecology, Netherlands Institute of Ecology, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":762651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Gerven, Luuk P.A.","contributorId":215553,"corporation":false,"usgs":false,"family":"van Gerven","given":"Luuk","email":"","middleInitial":"P.A.","affiliations":[{"id":39277,"text":"Dept. of Aquatic Ecology, Netherlands Institute of Ecology, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":762647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bakker, Elisabeth S.","contributorId":210388,"corporation":false,"usgs":false,"family":"Bakker","given":"Elisabeth","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":762652,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brederveld, Robert J.","contributorId":215554,"corporation":false,"usgs":false,"family":"Brederveld","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":39278,"text":"Witteveen+Bos, Consulting Engineers, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":762648,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":762645,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Janse, Jan H.","contributorId":215555,"corporation":false,"usgs":false,"family":"Janse","given":"Jan","email":"","middleInitial":"H.","affiliations":[{"id":39277,"text":"Dept. of Aquatic Ecology, Netherlands Institute of Ecology, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":762649,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mooij, Wolf M.","contributorId":215556,"corporation":false,"usgs":false,"family":"Mooij","given":"Wolf","email":"","middleInitial":"M.","affiliations":[{"id":39277,"text":"Dept. of Aquatic Ecology, Netherlands Institute of Ecology, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":762650,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70203152,"text":"ofr20191044 - 2019 - Effectiveness of fish screens in protecting lamprey (Entosphenus and Lampetra spp.) ammocoetes—Pilot testing of variable screen angle","interactions":[],"lastModifiedDate":"2019-05-02T07:37:17","indexId":"ofr20191044","displayToPublicDate":"2019-05-01T11:20:51","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":"2019-1044","displayTitle":"Effectiveness of Fish Screens in Protecting Lamprey (<em>Entosphenus</em> and <em>Lampetra</em> spp.) Ammocoetes— Pilot Testing of Variable Screen Angle","title":"Effectiveness of fish screens in protecting lamprey (Entosphenus and Lampetra spp.) ammocoetes—Pilot testing of variable screen angle","docAbstract":"<p class=\"p1\">Thousands of screened water diversions throughout the Columbia River Basin of the Pacific Northwest are sources of entrainment (unintended diversion into an unsafe passage route), injury, and mortality for a range of fish species and screening criteria have been developed to reduce and mitigate these effects. Large knowledge gaps exist concerning the potential effects of these screens on juvenile and larval lampreys <i>(</i><span class=\"s1\"><i>Entosphenus </i>and <i>Lampetra </i>spp.<i>) </i>that may </span>be particularly vulnerable to screening effects owing to their small size, unique morphology, and poor swimming performance. The few studies that have evaluated screen impacts for lampreys have compared common screen materials in a laboratory setting using a large, recirculating flume, and have reported that screen size and material influence the risk of entrainment. We compared entrainment rate, impingement rate and duration, injury rate, and delayed (24-hour) mortality of larval lamprey (ammocoetes) exposed to two screen angles. A 20-degree screen was tested because it is a common configuration, and a 12-degree screen was selected to represent a screen more parallel to flow than the 20-degree screen. We included juvenile rainbow trout (<i>Oncorhynchus mykiss</i>) in tests for both screen angles so that any screen interaction improvements observed for lamprey could be considered in light of their effect on salmonids (<span class=\"s1\"><i>Oncorhynchus </i>spp.<i>). </i></span>Study fish were released singly into the flume at two locations: near-screen (SCR) releases at about 30 centimeters upstream of the screen and mid-channel (MID) releases at about 1.4 meters upstream of the screen. We completed 120 screen trials with ammocoetes and 117 screen trials with juvenile tout during April–May 2018. Ammocoetes had short mean trial durations (less than 30 seconds) and were most frequently bypassed. Over one-half of the ammocoetes briefly (for less than 1 second) contacted the screen. Rates of screen contact were similar between the two screen angles, but higher for SCR releases (about 83–90 percent) than for MID releases (about 28–44 percent). Screen impingements were not common (8.3 percent of ammocoetes) and did not result in significant injury or delayed mortality. The final logistic regression model showed that screen angle and release location did not significantly affect whether ammocoetes were bypassed. The size of the lamprey, expressed as mass or length, was the only significant predictor of fate. We noted an estimated 4.7-percent increase in the odds of&nbsp;being bypassed for every 1-milligram increase in ammocoete mass and a 49-percent increase in the odds of being bypassed for every 1-millimeter increase in length. Trout did not experience negative effects with the 12-degree screen; they had short mean trial durations (less than 40 seconds) and limited contact with the screens (11.1 percent of trout), were most commonly bypassed, and none were entrained. Screen angle and release location were not significant drivers of fate for trout. The 12-degree and 20-degree screens performed comparably for both lamprey and trout and effectively bypassed these fishes. Some metrics showed advantages for the 12-degree screen, suggesting that screens installed more parallel to flow might warrant further testing.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191044","collaboration":"Prepared in cooperation with the Washington Department of Fish and Wildlife, McNary Fisheries Compensation Committee, and Yakama Nation Fisheries","usgsCitation":"Liedtke, T.L., Didricksen, D.J., Weiland, L.K., Rogala, J.A., and Lampman, R., 2019, Effectiveness of fish screens in protecting lamprey (Entosphenus and Lampetra spp.) ammocoetes—Pilot testing of variable screen angle: U.S. Geological Survey Open-File Report 2019-1044, 21 p., https://doi.org/10.3133/ofr20191044.","productDescription":"iv, 21 p.","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-105978","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":363436,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1044/coverthb2.jpg"},{"id":363437,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1044/ofr20191044.pdf","text":"Report","size":"882 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1044"}],"country":"United States","otherGeospatial":"Columbia River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -127.57324218750001,\n              41.96765920367816\n            ],\n            [\n              -112.763671875,\n              41.96765920367816\n            ],\n            [\n              -112.763671875,\n              50.90303283111257\n            ],\n            [\n              -127.57324218750001,\n              50.90303283111257\n            ],\n            [\n              -127.57324218750001,\n              41.96765920367816\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wfrc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wfrc\">Western Fisheries Research Center</a><br>U.S. Geological Survey<br>6505 NE 65th Street<br>Seattle, Washington 98115-5016</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-05-01","noUsgsAuthors":false,"publicationDate":"2019-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":761409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Didricksen, Daniel J.","contributorId":215007,"corporation":false,"usgs":false,"family":"Didricksen","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":761410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weiland, Lisa K. 0000-0002-9729-4062 lweiland@usgs.gov","orcid":"https://orcid.org/0000-0002-9729-4062","contributorId":3565,"corporation":false,"usgs":true,"family":"Weiland","given":"Lisa","email":"lweiland@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":761411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ragala, Joshua A.","contributorId":215009,"corporation":false,"usgs":false,"family":"Ragala","given":"Joshua","email":"","middleInitial":"A.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":761412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lampman, Ralph","contributorId":215233,"corporation":false,"usgs":false,"family":"Lampman","given":"Ralph","email":"","affiliations":[],"preferred":true,"id":761413,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202724,"text":"70202724 - 2019 - The USGS National crustal model for seismic hazard studies: 2019 update","interactions":[],"lastModifiedDate":"2019-06-26T10:46:25","indexId":"70202724","displayToPublicDate":"2019-05-01T10:41:31","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The USGS National crustal model for seismic hazard studies: 2019 update","docAbstract":"The United States Geological Survey (USGS) National Crustal Model (NCM) is being developed to assist in the modeling of seismic hazards across the conterminous United States, specifically by improving estimates of site response. The NCM is composed of geophysical profiles, extending from the Earth’s surface into the upper mantle, constructed from 5 primary elements: 1) depth to bedrock and basement; 2) 3D geologic framework; 3) petrologic and mineral physics database; 4) 3D temperature model; and 5) calibration of a porosity and attenuation model. Parameters needed to estimate site response for existing ground motion models (GMMs), including the time-averaged velocity in the upper 30 meters (VS30) and the depths to 1.0 and 2.5 km/s shear-wave velocity (Z1.0 and Z2.5), can be extracted from the NCM. As GMMs develop, other metrics could also be extracted or derived from the NCM such as fundamental frequency, a fully frequency-dependent site response function, or 3D geophysical volumes for wavefield simulations. Application of the NCM may also benefit other aspects of seismic hazard analysis including better accounting for path-dependent attenuation and geometric spreading and more accurate estimation of earthquake source properties such as hypocentral location and stress drop.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic Mapping Forum 2019 Abstracts","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Geologic Mapping Forum","conferenceDate":"April 10-12, 2019","conferenceLocation":"Minneapolils, MN","language":"English","publisher":"Minnesota Geological Survey","usgsCitation":"Boyd, O.S., 2019, The USGS National crustal model for seismic hazard studies: 2019 update, <i>in</i> Geologic Mapping Forum 2019 Abstracts, Minneapolils, MN, April 10-12, 2019, p. 10-11.","productDescription":"2 p.","startPage":"10","endPage":"11","ipdsId":"IP-106529","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":365060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365059,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.mngs.umn.edu/GMF2019.html"}],"country":"United States","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":759654,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203225,"text":"70203225 - 2019 - Historical changes in New York State streamflow: Attribution of temporal shifts and spatial patterns from 1961 to 2016","interactions":[],"lastModifiedDate":"2019-05-01T07:51:43","indexId":"70203225","displayToPublicDate":"2019-05-01T07:50:50","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":"Historical changes in New York State streamflow: Attribution of temporal shifts and spatial patterns from 1961 to 2016","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">To better understand the effects of climate change on streamflow, the hydrologic response to both temperature and precipitation needs to be examined at the mesoscale. New York State provides a hydrologically diverse mesoscale region, where sub-regional clusters of watersheds may respond differently to changes in temperature and in seasonal precipitation rates. Connections between streamflow and climate were examined for 97 gaging stations across the state and surrounding areas, for a historical period of 56 years of daily average streamflow. Gages were grouped into clusters if their mean annual discharge rates were strongly correlated to one another. Within each cluster, sharp temporal changes in discharge, or change points, were identified. These change points clustered both spatially and by flow regime, with low, medium, and high flows increasing around 1970 for much of the state consistent with other studies in the region. A step increase in Catskill low flows in 2003 coincides with increases in summer precipitation, and is consistent with a positive correlation between summer precipitation and annual low flows. Our results support previous studies that have shown that streamflow at this mesoscale is strongly tied to precipitation, and the strength of that connection is modulated by land cover, geographic position, and seasonal moisture conditions. Across the state, the winter-spring center of volume date has moved earlier along with increasing January streamflow rates, the result of warmer winter temperatures and an increased proportion of precipitation as rain. The transition to a post-1970s pluvial period also coincided with more frequent peak over threshold flows statewide, and this wetter period has continued to the present day.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2019.04.060","usgsCitation":"Glas, R., Burns, D., and Lautz, L.K., 2019, Historical changes in New York State streamflow: Attribution of temporal shifts and spatial patterns from 1961 to 2016: Journal of Hydrology, v. 574, p. 308-323, https://doi.org/10.1016/j.jhydrol.2019.04.060.","productDescription":"16 p.","startPage":"308","endPage":"323","ipdsId":"IP-100780","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":467652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1636018","text":"Publisher Index 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,{"id":70203231,"text":"70203231 - 2019 - Temporal variability in stream fish assemblage metrics and implications for long-term monitoring","interactions":[],"lastModifiedDate":"2019-05-01T07:41:56","indexId":"70203231","displayToPublicDate":"2019-05-01T07:40:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variability in stream fish assemblage metrics and implications for long-term monitoring","docAbstract":"<p><span>High natural variability in the condition of fish communities in headwater streams complicates detection of long-term responses to changes in water quality. As a result, little is known about the impacts and recovery of fishes from acid deposition in streams of New York. Twenty-one fish metrics from annual electrofishing surveys at 13 streams sites in the Catskill and Adirondack mountains were assessed to quantify temporal variability and identify effective monitoring strategies for detecting change in headwater stream fish assemblages. Metrics included the density and biomass of Brook Trout populations and entire fish communities using length-, area-, and effort-based standardization techniques. Linear mixed models were used to estimate changes in coefficients of variation (CV) for different classes of metrics and standardization techniques, and a simulation-based power analysis was conducted to assess differences in statistical power for each metric with various sampling designs. Metric CV varied significantly as a result of standardization technique and whether metrics were calculated for the entire community or Brook Trout only. The sampling effort necessary to detect a 30% change with power of 0.80 was strongly correlated with CV (R</span><sup>2</sup><span> = 0.77). The number of sampling events at the 13 sites needed to detect this change ranged from 1 to &gt;60, suggesting metric selection can strongly affect statistical power and the resources necessary to detect change. Thus, metric selection is a complex decision that must consider study objectives and biological relevance, in addition to natural variability and statistical power. However, adequate statistical power was achieved at relatively small sample sizes using certain metrics, indicating that fish communities in headwater streams can be a valuable component of long-term assessments of acidification impacts and recovery.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2019.01.055","usgsCitation":"George, S.D., Baldigo, B.P., and Stich, D.S., 2019, Temporal variability in stream fish assemblage metrics and implications for long-term monitoring: Ecological Indicators, v. 101, p. 661-669, https://doi.org/10.1016/j.ecolind.2019.01.055.","productDescription":"9 p.","startPage":"661","endPage":"669","ipdsId":"IP-097687","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":467653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2019.01.055","text":"Publisher Index 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,{"id":70208521,"text":"70208521 - 2019 - A federal-state partnership for mapping Florida's coast and seafloor ","interactions":[],"lastModifiedDate":"2020-02-14T06:54:01","indexId":"70208521","displayToPublicDate":"2019-05-01T06:52:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3891,"text":"Coastal Sediments","active":true,"publicationSubtype":{"id":10}},"title":"A federal-state partnership for mapping Florida's coast and seafloor ","docAbstract":"The Florida Coastal Mapping Program, a partnership of state and federal agencies, has a goal of having modern, consistent, high- resolution sea-floor data for all of Florida’s coastal zone in the next decade to support a myriad of coastal zone science and management applications. One of the early steps in the implementation process is to prioritize and justify mapping needs. This is accomplished by holding six regional workshops across the state during which stakeholders and partners are introduced to a newly developed geospatial prioritization tool. Users independently utilize the tool to populate grid cells for a given region, and the result is a cumulative perspective on sea floor mapping priorities to inform future mapping initiatives. The tool also allows participants to indicate their primary use of sea floor mapping data and types of additional data required for their science or management need.","language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0184","usgsCitation":"Hapke, C.J., Druyor, R., Baumstark, R.D., Kramer, P., Fitos, E., Fredericks, X., and Fetherston-Resch, E.H., 2019, A federal-state partnership for mapping Florida's coast and seafloor : Coastal Sediments, p. 2150-2158, https://doi.org/10.1142/9789811204487_0184.","productDescription":"9 p.","startPage":"2150","endPage":"2158","ipdsId":"IP-105639","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":372337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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D.","contributorId":213975,"corporation":false,"usgs":false,"family":"Baumstark","given":"Rene","email":"","middleInitial":"D.","affiliations":[{"id":38947,"text":"FWRI","active":true,"usgs":false}],"preferred":false,"id":782274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kramer, Philip","contributorId":35911,"corporation":false,"usgs":false,"family":"Kramer","given":"Philip","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":782275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitos, Ekaterina","contributorId":213977,"corporation":false,"usgs":false,"family":"Fitos","given":"Ekaterina","email":"","affiliations":[{"id":38948,"text":"FDEP","active":true,"usgs":false}],"preferred":false,"id":782277,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fredericks, Xan 0000-0001-7186-6555 afredericks@usgs.gov","orcid":"https://orcid.org/0000-0001-7186-6555","contributorId":2972,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","email":"afredericks@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":782276,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fetherston-Resch, Elizabeth H.","contributorId":213974,"corporation":false,"usgs":false,"family":"Fetherston-Resch","given":"Elizabeth","email":"","middleInitial":"H.","affiliations":[{"id":38946,"text":"FIO","active":true,"usgs":false}],"preferred":false,"id":782278,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70202916,"text":"70202916 - 2019 - Revisiting Herto: New evidence of Homo sapiens from Ethiopia","interactions":[],"lastModifiedDate":"2019-12-04T18:01:01","indexId":"70202916","displayToPublicDate":"2019-04-30T18:00:37","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Revisiting Herto: New evidence of Homo sapiens from Ethiopia","docAbstract":"Localities in the radiometrically dated Upper Herto Member of Ethiopia’s Bouri Formation continue to produce new data that complement and extend initial reports of fossils and artifacts published in 2003. Results of these revisits are reported here and include the in situ recovery of artifacts from the same sediments containing hominid fossils. We evaluate the absolute and relative temporal placement of the Herto discoveries in light of new field observations and in the context of new data from the Omo Kibish Formation of southern Ethiopia. The Upper Herto Member stone tool assemblage includes artifacts normally typologically attributed to both Acheulean and Middle Stone Age industries or technocomplexes. These discoveries and other aspects of continuing Herto research help to elucidate the timing and patterns of technological, behavioral, and anatomical change in Africa during the evolution of our species.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Modern Human Origins and Dispersal","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Kerns Verlag","isbn":"9783935751308","usgsCitation":"Sahle, Y., Beyene, Y., Defleur, A., Asfaw, B., WoldeGabriel, G., Hart, W.K., Morgan, L.E., Renne, P.R., Carlson, J., and White, T., 2019, Revisiting Herto: New evidence of Homo sapiens from Ethiopia, chap. 3 <i>of</i> Modern Human Origins and Dispersal, p. 73-104.","productDescription":"32 p.","startPage":"73","endPage":"104","ipdsId":"IP-102180","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":369938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362677,"type":{"id":15,"text":"Index Page"},"url":"https://kernsverlag.com/en/modern-human-origins-and-dispersal"}],"country":"Ethiopia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[37.90607,14.95943],[38.51295,14.50547],[39.0994,14.74064],[39.34061,14.53155],[40.02625,14.51959],[40.8966,14.11864],[41.1552,13.77333],[41.59856,13.45209],[42.00975,12.86582],[42.35156,12.54223],[42,12.1],[41.66176,11.6312],[41.73959,11.35511],[41.75557,11.05091],[42.31414,11.0342],[42.55493,11.10511],[42.77685,10.92688],[42.55876,10.57258],[42.92812,10.02194],[43.29699,9.54048],[43.67875,9.18358],[46.94834,7.99688],[47.78942,8.003],[44.9636,5.00162],[43.66087,4.95755],[42.76967,4.25259],[42.12861,4.23413],[41.85508,3.91891],[41.1718,3.91909],[40.76848,4.25702],[39.85494,3.83879],[39.55938,3.42206],[38.89251,3.50074],[38.67114,3.61607],[38.43697,3.58851],[38.12092,3.59861],[36.85509,4.44786],[36.15908,4.44786],[35.81745,4.77697],[35.81745,5.33823],[35.29801,5.506],[34.70702,6.59422],[34.25032,6.82607],[34.0751,7.22595],[33.56829,7.71334],[32.95418,7.78497],[33.2948,8.35458],[33.8255,8.37916],[33.97498,8.68456],[33.96162,9.58358],[34.25745,10.63009],[34.73115,10.91017],[34.83163,11.31896],[35.26049,12.08286],[35.86363,12.57828],[36.27022,13.56333],[36.42951,14.42211],[37.59377,14.2131],[37.90607,14.95943]]]},\"properties\":{\"name\":\"Ethiopia\"}}]}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sahle, Yonatan","contributorId":214635,"corporation":false,"usgs":false,"family":"Sahle","given":"Yonatan","email":"","affiliations":[{"id":39092,"text":"1DFG Center for Advanced Studies: Words, Bones, Genes, Tools. University of Tübingen, Germany","active":true,"usgs":false}],"preferred":false,"id":760452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beyene, Yonas","contributorId":214636,"corporation":false,"usgs":false,"family":"Beyene","given":"Yonas","email":"","affiliations":[{"id":39093,"text":"2French Center for Ethiopian Studies, Addis Ababa, Ethiopia","active":true,"usgs":false}],"preferred":false,"id":760453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Defleur, Alban","contributorId":214637,"corporation":false,"usgs":false,"family":"Defleur","given":"Alban","email":"","affiliations":[{"id":39094,"text":"3CNRS UMR 5276 - Lyon Geology Laboratory, France","active":true,"usgs":false}],"preferred":false,"id":760454,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Asfaw, Berhane","contributorId":214638,"corporation":false,"usgs":false,"family":"Asfaw","given":"Berhane","email":"","affiliations":[{"id":39095,"text":"4Rift Valley Research Service, Addis Ababa, Ethiopia","active":true,"usgs":false}],"preferred":false,"id":760455,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"WoldeGabriel, Giday","contributorId":214639,"corporation":false,"usgs":false,"family":"WoldeGabriel","given":"Giday","email":"","affiliations":[{"id":39096,"text":"5Los Alamos National Laboratory, Los Alamos, NM, USA","active":true,"usgs":false}],"preferred":false,"id":760456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hart, William K","contributorId":214640,"corporation":false,"usgs":false,"family":"Hart","given":"William","email":"","middleInitial":"K","affiliations":[{"id":39097,"text":"6Department of Geology and Environmental Earth Science, Miami University, Oxford, OH, USA","active":true,"usgs":false}],"preferred":false,"id":760457,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":760451,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Renne, Paul R.","contributorId":214641,"corporation":false,"usgs":false,"family":"Renne","given":"Paul","email":"","middleInitial":"R.","affiliations":[{"id":39098,"text":"8Berkeley Geochronology Center, Berkeley; Department of Earth & Planetary Science, University of California, Berkeley, CA, USA","active":true,"usgs":false}],"preferred":false,"id":760458,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carlson, Joshua","contributorId":214642,"corporation":false,"usgs":false,"family":"Carlson","given":"Joshua","email":"","affiliations":[{"id":39099,"text":"9Human Evolution Research Center, and Department of Integrative Biology, The University of California, Berkeley, CA, USA","active":true,"usgs":false}],"preferred":false,"id":760459,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"White, Tim D","contributorId":214643,"corporation":false,"usgs":false,"family":"White","given":"Tim D","affiliations":[{"id":39099,"text":"9Human Evolution Research Center, and Department of Integrative Biology, The University of California, Berkeley, CA, USA","active":true,"usgs":false}],"preferred":false,"id":760460,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70203313,"text":"70203313 - 2019 - Evaluation of ground motion models for USGS seismic hazard forecasts: Induced and tectonic earthquakes in the Central and Eastern U.S.","interactions":[],"lastModifiedDate":"2019-05-02T15:52:52","indexId":"70203313","displayToPublicDate":"2019-04-30T15:42:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of ground motion models for USGS seismic hazard forecasts: Induced and tectonic earthquakes in the Central and Eastern U.S.","docAbstract":"Ground motion model (GMM) selection and weighting introduces a significant source of uncertainty in United States Geological Survey (USGS) seismic hazard models. The increase in moderate moment magnitude induced earthquakes (Mw 4 to 5.8)  in Oklahoma and Kansas since 2009, due to increased wastewater injection related to oil and gas production (Keranen et al., 2013; 2014; Weingarten et al., 2015; McNamara et al., 2015a), provides useful near-source (< 40 km) instrumental ground-motion observations for comparisons between central and eastern US (CEUS)  induced (Rennolet et al., 2017) and tectonic (Goulet et al., 2014) earthquakes. In this study, we evaluate over 50 GMMs using two well-established probabilistic scoring methods: log likelihood (LLH) (Scherbaum et al., 2004; 2009) and multivariate LLH (MLLH) (Mak et al., 2017). The LLH approach compares the mean and standard deviation (σ)  of the observed and modeled ground motions. The MLLH approach advances the LLH method by considering the variability (φ,τ) of multiple correlated variables namely intra- (within) and inter- (between) event residuals.\n \nFor the probabilistic scoring GMM evaluation methods (LLH, MLLH), we compute horizontal component peak ground acceleration (PGA) and 1s period pseudo spectral acceleration (PSA1.0) total residuals using GMM software (nshmp-haz) recently implemented by the USGS National Seismic Hazard Model Project (NSHMP). We observe from LLH and MLLH scores that: 1) newer GMMs with lower standard deviations (σ,φ,τ) score better than older GMMs with higher published uncertainty; 2) 2014 CEUS GMMs score better for CEUS tectonic earthquakes than induced earthquakes; 3)   NGA-West2, G17 and A15 GMMs score well for CEUS induced earthquake ground motions; and 4) NGA-East GMMs score well for CEUS tectonic earthquake ground motions. We also use the LLH and MLLH scores to evaluate GMM weights applied in past USGS seismic hazard forecasts and to inform weighting of GMMs in future seismic hazard forecasts.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180106","usgsCitation":"McNamara, D.E., Petersen, M.D., Thompson, E.M., Powers, P.M., Shumway, A., Hoover, S.M., Moschetti, M.P., and Wolin, E., 2019, Evaluation of ground motion models for USGS seismic hazard forecasts: Induced and tectonic earthquakes in the Central and Eastern U.S.: Bulletin of the Seismological Society of America, v. 109, no. 1, p. 322-335, https://doi.org/10.1785/0120180106.","productDescription":"14 p.","startPage":"322","endPage":"335","ipdsId":"IP-103404","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":363496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"109","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":762095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":146592,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":762096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powers, Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shumway, Allison M. 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoover, Susan M. 0000-0002-8682-6668 shoover@usgs.gov","orcid":"https://orcid.org/0000-0002-8682-6668","contributorId":5715,"corporation":false,"usgs":true,"family":"Hoover","given":"Susan","email":"shoover@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762099,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762100,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wolin, Emily 0000-0003-1610-1191 ewolin@usgs.gov","orcid":"https://orcid.org/0000-0003-1610-1191","contributorId":198778,"corporation":false,"usgs":true,"family":"Wolin","given":"Emily","email":"ewolin@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762101,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70203992,"text":"70203992 - 2019 - Kinetic study on clogging of a geothermal pumping well triggered by mixing-induced biogeochemical reactions","interactions":[],"lastModifiedDate":"2019-06-26T13:18:43","indexId":"70203992","displayToPublicDate":"2019-04-30T13:13:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Kinetic study on clogging of a geothermal pumping well triggered by mixing-induced biogeochemical reactions","docAbstract":"<p><span>The sustainability of ground-source geothermal systems can be severely impacted by microbially mediated clogging processes. Biofouling of water wells by hydrous ferric oxide is a widespread problem. Although the mechanisms and critical environmental factors associated with clogging development are widely recognized, effects of mixing processes within the wells and time scales for clogging processes are not well characterized. Here we report insights from a joint hydrological, geochemical, and metagenomics characterization of a geothermal doublet in which hydrous ferric oxide and hydrous manganese oxide deposits had formed as a consequence of mixing shallow groundwater containing dissolved oxygen and nitrate with deeper, anoxic groundwater containing dissolved iron (Fe</span><sup>II</sup><span>) and manganese (Mn</span><sup>II</sup><span>). Metagenomics identify distinct bacteria consortia in the pumping well oxic and anoxic zones, including autotrophic iron-oxidizing bacteria. Batch mixing experiments and geochemical kinetics modeling of the associated reactions indicate that Fe</span><sup>II</sup><span>&nbsp;and Mn</span><sup>II</sup><span>&nbsp;oxidation are slow compared to the residence time of water in the pumping well; however, adsorption of Fe</span><sup>II</sup><span>&nbsp;and Mn</span><sup>II</sup><span>&nbsp;by accumulated hydrous ferric oxide and hydrous manganese oxide in the well bore and pump riser provides “infinite” time for surface-catalyzed oxidation and a convenient source of energy for iron-oxidizing bacteria, which colonize the surfaces and also catalyze oxidation. Thus, rapid clogging is caused by mixing-induced redox reactions and is exacerbated by microbial activity on accumulated hydrous oxide surfaces.</span></p>","language":"English","publisher":"American Chemical Society Publications","doi":"10.1021/acs.est.9b00453","usgsCitation":"Burte, L., Cravotta, C.A., Bethencourt, L., Farasin, J., Pedrot, M., Dufresne, A., Gerard, M., Baranger, C., Le Borgne, T., and Aquilina, L., 2019, Kinetic study on clogging of a geothermal pumping well triggered by mixing-induced biogeochemical reactions: Environmental Science & Technology, v. 53, no. 10, p. 5848-5857, https://doi.org/10.1021/acs.est.9b00453.","productDescription":"10 p.","startPage":"5848","endPage":"5857","ipdsId":"IP-104719","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":467656,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://insu.hal.science/insu-02123861","text":"External Repository"},{"id":365077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France","city":"Orleans","volume":"53","issue":"10","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Burte, Luc","contributorId":216592,"corporation":false,"usgs":false,"family":"Burte","given":"Luc","email":"","affiliations":[{"id":39481,"text":"OSUR-UMR6118 Géosciences Rennes, Université de Rennes 1 and Centre National de la Recherche Scientifique, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":765125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":216591,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III","email":"","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bethencourt, Lorine","contributorId":216593,"corporation":false,"usgs":false,"family":"Bethencourt","given":"Lorine","email":"","affiliations":[{"id":39481,"text":"OSUR-UMR6118 Géosciences Rennes, Université de Rennes 1 and Centre National de la Recherche Scientifique, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":765126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farasin, Julien","contributorId":216594,"corporation":false,"usgs":false,"family":"Farasin","given":"Julien","email":"","affiliations":[{"id":39481,"text":"OSUR-UMR6118 Géosciences Rennes, Université de Rennes 1 and Centre National de la Recherche Scientifique, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":765127,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pedrot, Mathieu","contributorId":216595,"corporation":false,"usgs":false,"family":"Pedrot","given":"Mathieu","email":"","affiliations":[{"id":39481,"text":"OSUR-UMR6118 Géosciences Rennes, Université de Rennes 1 and Centre National de la Recherche Scientifique, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":765128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dufresne, Alexis","contributorId":216596,"corporation":false,"usgs":false,"family":"Dufresne","given":"Alexis","email":"","affiliations":[{"id":39482,"text":"Ecobio-UMR 6553, Université de Rennes 1 and Centre National de la Recherche Scientifique, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":765129,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gerard, Marie-Francoise","contributorId":216597,"corporation":false,"usgs":false,"family":"Gerard","given":"Marie-Francoise","email":"","affiliations":[{"id":39481,"text":"OSUR-UMR6118 Géosciences Rennes, Université de Rennes 1 and Centre National de la Recherche Scientifique, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":765130,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baranger, Catherine","contributorId":216598,"corporation":false,"usgs":false,"family":"Baranger","given":"Catherine","email":"","affiliations":[{"id":39483,"text":"Antea Group, ZAC du Moulin 803 boulevard Duhamel du Monceau, Olivet, France","active":true,"usgs":false}],"preferred":false,"id":765131,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Le Borgne, Tanguy","contributorId":216599,"corporation":false,"usgs":false,"family":"Le Borgne","given":"Tanguy","email":"","affiliations":[{"id":39481,"text":"OSUR-UMR6118 Géosciences Rennes, Université de Rennes 1 and Centre National de la Recherche Scientifique, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":765132,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Aquilina, Luc 0000-0001-9875-6436","orcid":"https://orcid.org/0000-0001-9875-6436","contributorId":215171,"corporation":false,"usgs":false,"family":"Aquilina","given":"Luc","email":"","affiliations":[{"id":39190,"text":"Université de Rennes","active":true,"usgs":false}],"preferred":false,"id":765133,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70204709,"text":"70204709 - 2019 - Permafrost collapse is accelerating carbon release","interactions":[],"lastModifiedDate":"2019-08-12T10:49:42","indexId":"70204709","displayToPublicDate":"2019-04-30T10:48:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Permafrost collapse is accelerating carbon release","docAbstract":"<p>This much is clear: the Arctic is warming fast, and frozen soils are starting to thaw, often for the first time in thousands of years. But how this happens is as murky as the mud that oozes from permafrost when ice melts.</p><p>As the temperature of the ground rises above freezing, microorganisms break down organic matter in the soil. Greenhouse gases — including carbon dioxide, methane and nitrous oxide — are released into the atmosphere, accelerating global warming. Soils in the permafrost region hold twice as much carbon as the atmosphere does — almost 1,600 billion tonnes<sup><a href=\"https://www.nature.com/articles/d41586-019-01313-4#ref-CR1\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\" data-mce-href=\"https://www.nature.com/articles/d41586-019-01313-4#ref-CR1\">1</a></sup>.</p><p>What fraction of that will decompose? Will it be released suddenly, or seep out slowly? We need to find out.</p><p>Current models of greenhouse-gas release and climate assume that permafrost thaws gradually from the surface downwards. Deeper layers of organic matter are exposed over decades or even centuries, and some models are beginning to track these slow changes.</p><p>But models are ignoring an even more troubling problem. Frozen soil doesn’t just lock up carbon — it physically holds the landscape together. Across the Arctic and Boreal regions, permafrost is collapsing suddenly as pockets of ice within it melt. Instead of a few centimetres of soil thawing each year, several metres of soil can become destabilized within days or weeks. The land can sink and be inundated by swelling lakes and wetlands.</p><p>Abrupt thawing of permafrost is dramatic to watch. Returning to field sites in Alaska, for example, we often find that lands that were forested a year ago are now covered with lakes<sup><a href=\"https://www.nature.com/articles/d41586-019-01313-4#ref-CR2\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\" data-mce-href=\"https://www.nature.com/articles/d41586-019-01313-4#ref-CR2\">2</a></sup>. Rivers that once ran clear are thick with sediment.<span>&nbsp;</span>Hillsides can liquefy, sometimes taking sensitive scientific equipment with them.</p><p>This type of thawing is a serious problem for communities living around the Arctic (see ‘Arctic permafrost’). Roads buckle, houses become unstable. Access to traditional foods is changing, because it is becoming dangerous to travel across the land to hunt. Families cannot reach lines of game traps that have supported them for generations.</p>","language":"English","publisher":"Nature","doi":"10.1038/d41586-019-01313-4","usgsCitation":"Turetsky, M.R., Abbott, B., Jones, M., Walter Anthony, K., Olefeldt, D., Schuur, E.A., Koven, C., McGuire, A., Grosse, G., Kuhry, P., Gustaf Hugelius, Lawrence, D.M., Gibson, C., and Sannel, A.B., 2019, Permafrost collapse is accelerating carbon release: Nature, v. 569, p. 32-34, https://doi.org/10.1038/d41586-019-01313-4.","productDescription":"3 p.","startPage":"32","endPage":"34","ipdsId":"IP-105217","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":467658,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/d41586-019-01313-4","text":"Publisher Index Page"},{"id":366474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic","volume":"569","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":768155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abbott, Benjamin W.","contributorId":218049,"corporation":false,"usgs":false,"family":"Abbott","given":"Benjamin W.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":768154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Miriam 0000-0002-6650-7619","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":201994,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":768153,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walter Anthony, Katey","contributorId":192911,"corporation":false,"usgs":false,"family":"Walter Anthony","given":"Katey","affiliations":[],"preferred":false,"id":768156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olefeldt, David","contributorId":169408,"corporation":false,"usgs":false,"family":"Olefeldt","given":"David","affiliations":[{"id":32365,"text":"Department of Renewable Resources, University of Alberta","active":true,"usgs":false}],"preferred":false,"id":768157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schuur, Edward A.","contributorId":218050,"corporation":false,"usgs":false,"family":"Schuur","given":"Edward","email":"","middleInitial":"A.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":768158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koven, Charles","contributorId":218051,"corporation":false,"usgs":false,"family":"Koven","given":"Charles","affiliations":[{"id":39617,"text":"Lawrence Berkeley National Lab","active":true,"usgs":false}],"preferred":false,"id":768159,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGuire, A.D.","contributorId":199633,"corporation":false,"usgs":false,"family":"McGuire","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":768160,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":768183,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kuhry, Peter","contributorId":9513,"corporation":false,"usgs":true,"family":"Kuhry","given":"Peter","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":768184,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gustaf Hugelius","contributorId":199595,"corporation":false,"usgs":false,"family":"Gustaf Hugelius","affiliations":[],"preferred":false,"id":768185,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lawrence, David M.","contributorId":105206,"corporation":false,"usgs":false,"family":"Lawrence","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":7166,"text":"Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":768186,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gibson, Carolyn","contributorId":218061,"corporation":false,"usgs":false,"family":"Gibson","given":"Carolyn","email":"","affiliations":[],"preferred":false,"id":768187,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sannel, A. B. K.","contributorId":38450,"corporation":false,"usgs":false,"family":"Sannel","given":"A.","email":"","middleInitial":"B. K.","affiliations":[],"preferred":false,"id":768188,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70203503,"text":"70203503 - 2019 - Overview of future USGS Gulf of Mexico buoyant storage assessment project","interactions":[],"lastModifiedDate":"2019-05-21T08:59:22","indexId":"70203503","displayToPublicDate":"2019-04-28T08:51:59","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Overview of future USGS Gulf of Mexico buoyant storage assessment project","docAbstract":"<div class=\"abstract-text\"><p>The United States Geological Survey (USGS) is a member of a U.S. Department of Energy-funded partnership headed by the University of Texas Bureau of Economic Geology that is working to assess the feasibility of offshore geologic carbon dioxide (CO2) storage in the Gulf of Mexico. The role of the USGS is to assess the buoyant geologic CO2 storage resource of the western half of the offshore Gulf of Mexico (GoM). Buoyant CO2 storage is the CO2 held in place by a top and lateral seal (either a sealing formation or a sealing fault), that creates a column of CO2 in communication across pore space in a geologic reservoir. This assessment will be similar to the USGS assessment of onshore buoyant geologic CO2 storage [1] and will employ a modified version of existing USGS methodology [2] to assess the buoyant CO2 storage capacity in the GoM.</p></div>","conferenceTitle":"14th Greenhouse Gas Control Technologies Conference ","conferenceDate":"October 21-26, 2018","conferenceLocation":"Melbourne, Australia","language":"English","publisher":"SSRN","usgsCitation":"Brennan, S.T., 2019, Overview of future USGS Gulf of Mexico buoyant storage assessment project, 14th Greenhouse Gas Control Technologies Conference , Melbourne, Australia, October 21-26, 2018, 5 p.","productDescription":"5 p.","ipdsId":"IP-101191","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":364026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364024,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3365595"}],"country":"Mexico, United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.546875,\n              18.312810846425442\n            ],\n            [\n              -79.453125,\n              18.312810846425442\n            ],\n            [\n              -79.453125,\n              30.44867367928756\n            ],\n            [\n              -100.546875,\n              30.44867367928756\n            ],\n            [\n              -100.546875,\n              18.312810846425442\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brennan, Sean T. 0000-0002-9381-6863 sbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-9381-6863","contributorId":205926,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean","email":"sbrennan@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":762912,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70209634,"text":"70209634 - 2019 - Denitrification in the river network of a mixed land use watershed: Unpacking the complexities","interactions":[],"lastModifiedDate":"2020-05-04T17:25:53.684335","indexId":"70209634","displayToPublicDate":"2019-04-27T14:03:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Denitrification in the river network of a mixed land use watershed: Unpacking the complexities","docAbstract":"<p><span>River networks have the potential to permanently remove nitrogen through denitrification. Few studies have measured denitrification rates within an entire river network or assessed how land use affect rates at larger spatial scales. We sampled 108 sites throughout the network of the Fox River watershed, Wisconsin, to determine if land use influence sediment denitrification rates, and to identify zones of elevated sediment denitrification rates (hot spots) within the river network. Partial least squares regression models identified variables from four levels of organization (river bed sediment, water column, riparian zone, and watershed) that best predicted denitrification rates throughout the river network. Nitrate availability was the most important predictor of denitrification rates, while land cover was not always a good predictor of local-scale nitrate concentrations. Thus, land cover and denitrification rate were not strongly related across the Fox River watershed. A direct relationship between denitrification rate and watershed land cover occurred only in the Wolf River sub-watershed, the least anthropogenically disturbed of the sub-watersheds. Denitrification hot spots were located throughout the river network, regardless of watershed land use, with hot spot location being determined primarily by nitrate availability. In the Fox River watershed, when nitrate was abundant, river bed sediment character influenced denitrification rate, with higher denitrification rates at sites with fine, organic sediments. These findings suggest that&nbsp;denitrification occurring throughout an entire river network, from headwater streams to larger rivers, can help reduce nitrogen loads&nbsp;to downstream water bodies.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-019-00565-6","usgsCitation":"Kreiling, R., Richardson, W.B., Bartsch, L., Thoms, M.C., and Christensen, V.G., 2019, Denitrification in the river network of a mixed land use watershed: Unpacking the complexities: Biogeochemistry, v. 143, p. 327-346, https://doi.org/10.1007/s10533-019-00565-6.","productDescription":"20 p.","startPage":"327","endPage":"346","numberOfPages":"20","ipdsId":"IP-096829","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":437480,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93RTNVY","text":"USGS data release","linkHelpText":"Great Lakes Restoration Initiative Project 49 Fox River Basin 2016 and 2017 Data"},{"id":374060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Fox River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.8736572265625,\n              43.45690646829029\n            ],\n            [\n              -87.6873779296875,\n              43.45690646829029\n            ],\n            [\n              -87.6873779296875,\n              45.79816953017265\n            ],\n            [\n              -89.8736572265625,\n              45.79816953017265\n            ],\n            [\n              -89.8736572265625,\n              43.45690646829029\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"143","noUsgsAuthors":false,"publicationDate":"2019-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiling, Rebecca 0000-0002-9295-4156 rkreiling@usgs.gov","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":147679,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","email":"rkreiling@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":787291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":787292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":787293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thoms, Martin C. 0000-0002-8074-0476","orcid":"https://orcid.org/0000-0002-8074-0476","contributorId":145710,"corporation":false,"usgs":false,"family":"Thoms","given":"Martin","email":"","middleInitial":"C.","affiliations":[{"id":16205,"text":"Riverine Landscapes Research Laboratory, University of New England, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":787294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":787295,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215492,"text":"70215492 - 2019 - Pleistocene hydrothermal activity on Brokeoff volcano and in the Maidu volcanic center, Lassen Peak area, northeast California: Evolution of magmatic-hydrothermal systems on stratovolcanoes","interactions":[],"lastModifiedDate":"2020-10-21T15:55:55.367862","indexId":"70215492","displayToPublicDate":"2019-04-26T10:52:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7166,"text":"Geopshere","active":true,"publicationSubtype":{"id":10}},"title":"Pleistocene hydrothermal activity on Brokeoff volcano and in the Maidu volcanic center, Lassen Peak area, northeast California: Evolution of magmatic-hydrothermal systems on stratovolcanoes","docAbstract":"<p>Partially eroded stratovolcanoes worldwide, notably Mounts Rainier and Adams in the Cascades and several volcanoes in Japan, record episodic periods of eruption and geothermal activity that produce zones of hydrothermal alteration. The partly eroded core of late Pleistocene Brokeoff volcano on the south side of Lassen Peak exposes the upper 1 km of multiple ancient (ca. 410–300 ka) magmatic-hydrothermal alteration zones in a 3.5 by 5 km area that allows characterization of the three-dimensional hydrothermal evolution of the volcano. Both acid- and neutral-pH hydrothermal solutions produced distinctive alteration mineral assemblages in close proximity. Early hydrothermal activity is characterized by alunite-rich alteration that is temporally and spatially related to shallow intrusions in the center of the volcano. Younger acid alteration and a large area of neutral-pH alteration formed along the volcano’s flanks. The neutral-pH alteration is vertically zoned over 1000 m from shallow zeolite ± adularia through intermediate argillic (smectite-pyrite ± illite) to deep propylitic (chlorite-calcite-albite-illite) alteration. Pleistocene alteration is partly overprinted by surficial, steam-heated alteration related to Lassen’s modern hydrothermal activity. A large (∼3.5 km<sup>2</sup>), shallow (≤300 m), ca. 1.5 Ma alunite-rich magmatic-hydrothermal alteration zone is exposed on the northeast flank of the nearby Maidu volcanic center.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02049.1","usgsCitation":"John, D.A., Lee, R.G., Breit, G.N., Dilles, J.H., Calvert, A.T., Muffler, L.P., and Clynne, M.A., 2019, Pleistocene hydrothermal activity on Brokeoff volcano and in the Maidu volcanic center, Lassen Peak area, northeast California: Evolution of magmatic-hydrothermal systems on stratovolcanoes: Geopshere, v. 15, no. 3, p. 946-982, https://doi.org/10.1130/GES02049.1.","productDescription":"37 p.","startPage":"946","endPage":"982","ipdsId":"IP-100523","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467668,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02049.1","text":"Publisher Index Page"},{"id":437481,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PZQGJG","text":"USGS data release","linkHelpText":"Geochemical and Geochronological Data for Hydrothermal Systems on Brokeoff Volcano and in the Maidu Volcanic Center, Lassen Peak area, northeastern California"},{"id":379596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lassen Peak area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.01965332031249,\n              39.52522954427751\n            ],\n            [\n              -120.2947998046875,\n              39.52522954427751\n            ],\n            [\n              -120.2947998046875,\n              41.10832999732831\n            ],\n            [\n              -122.01965332031249,\n              41.10832999732831\n            ],\n            [\n              -122.01965332031249,\n              39.52522954427751\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-04-26","publicationStatus":"PW","contributors":{"authors":[{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":802450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Robert G.","contributorId":243516,"corporation":false,"usgs":false,"family":"Lee","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":802451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":802452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dilles, John H.","contributorId":243517,"corporation":false,"usgs":false,"family":"Dilles","given":"John","email":"","middleInitial":"H.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":802453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":802454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muffler, L.J. Patrick 0000-0001-6638-7218 pmuffler@usgs.gov","orcid":"https://orcid.org/0000-0001-6638-7218","contributorId":3322,"corporation":false,"usgs":true,"family":"Muffler","given":"L.J.","email":"pmuffler@usgs.gov","middleInitial":"Patrick","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":802455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":802456,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203366,"text":"70203366 - 2019 - Formation of pedestalled, relict lakes on the McMurdo Ice Shelf, Antarctica","interactions":[],"lastModifiedDate":"2019-05-09T08:56:24","indexId":"70203366","displayToPublicDate":"2019-04-26T09:52:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Formation of pedestalled, relict lakes on the McMurdo Ice Shelf, Antarctica","docAbstract":"<div class=\"row\"><div class=\"large-10 medium-10 small-12 columns\"><div class=\"description\"><div class=\"abstract\" data-abstract-type=\"normal\"><p>Surface debris covers much of the western portion of the McMurdo Ice Shelf and has a strong influence on the local surface albedo and energy balance. Differential ablation between debris-covered and debris-free areas creates an unusual heterogeneous surface of topographically low, high-ablation, and topographically raised (‘pedestalled’), low-ablation areas. Analysis of Landsat and MODIS satellite imagery from 1999 to 2018, alongside field observations from the 2016/2017 austral summer, shows that pedestalled relict lakes (‘pedestals’) form when an active surface meltwater lake that develops in the summer, freezes-over in winter, resulting in the lake-bottom debris being masked by a high-albedo, superimposed, ice surface. If this ice surface fails to melt during a subsequent melt season, it experiences reduced surface ablation relative to the surrounding debris-covered areas of the ice shelf. We propose that this differential ablation, and resultant hydrostatic and flexural readjustments of the ice shelf, causes the former supraglacial lake surface to become increasingly pedestalled above the lower topography of the surrounding ice shelf. Consequently, meltwater streams cannot flow onto these pedestalled features, and instead divert around them. We suggest that the development of pedestals has a significant influence on the surface-energy balance, hydrology and flexure of the ice shelf.</p></div></div></div></div>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/jog.2019.17","usgsCitation":"MacDonald, G.J., Banwell, A.F., Willis, I.C., Mayer, D., Goodsell, B., and MacAyeal, D.R., 2019, Formation of pedestalled, relict lakes on the McMurdo Ice Shelf, Antarctica: Journal of Glaciology, p. 1-7, https://doi.org/10.1017/jog.2019.17.","productDescription":"7 p.","startPage":"1","endPage":"7","ipdsId":"IP-104102","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":467669,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/jog.2019.17","text":"Publisher Index Page"},{"id":363580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -210.9375,\n              -80.70399666821143\n            ],\n            [\n              -38.3203125,\n              -80.70399666821143\n            ],\n            [\n              -38.3203125,\n              -65.21989393613208\n            ],\n            [\n              -210.9375,\n              -65.21989393613208\n            ],\n            [\n              -210.9375,\n              -80.70399666821143\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-26","publicationStatus":"PW","contributors":{"authors":[{"text":"MacDonald, Grant J 0000-0002-9295-085X","orcid":"https://orcid.org/0000-0002-9295-085X","contributorId":215430,"corporation":false,"usgs":false,"family":"MacDonald","given":"Grant","email":"","middleInitial":"J","affiliations":[{"id":39244,"text":"Department of the Geophysical Science, The University of Chicago","active":true,"usgs":false}],"preferred":false,"id":762336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banwell, Alison F 0000-0001-9545-829X","orcid":"https://orcid.org/0000-0001-9545-829X","contributorId":215431,"corporation":false,"usgs":false,"family":"Banwell","given":"Alison","email":"","middleInitial":"F","affiliations":[{"id":39245,"text":"Scott Polar Research Institute, and Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":762337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willis, Ian C","contributorId":215432,"corporation":false,"usgs":false,"family":"Willis","given":"Ian","email":"","middleInitial":"C","affiliations":[{"id":39246,"text":"Scott Polar Research Institute, The University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":762338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mayer, David 0000-0001-8351-1807","orcid":"https://orcid.org/0000-0001-8351-1807","contributorId":215429,"corporation":false,"usgs":true,"family":"Mayer","given":"David","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":762335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goodsell, Becky","contributorId":215433,"corporation":false,"usgs":false,"family":"Goodsell","given":"Becky","email":"","affiliations":[{"id":39244,"text":"Department of the Geophysical Science, The University of Chicago","active":true,"usgs":false}],"preferred":false,"id":762339,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"MacAyeal, Douglas R 0000-0003-0647-6176","orcid":"https://orcid.org/0000-0003-0647-6176","contributorId":215434,"corporation":false,"usgs":false,"family":"MacAyeal","given":"Douglas","email":"","middleInitial":"R","affiliations":[{"id":39244,"text":"Department of the Geophysical Science, The University of Chicago","active":true,"usgs":false}],"preferred":false,"id":762340,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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