{"pageNumber":"258","pageRowStart":"6425","pageSize":"25","recordCount":68827,"records":[{"id":70208179,"text":"70208179 - 2020 - Cyanotoxin occurrence in large rivers of the United States","interactions":[],"lastModifiedDate":"2020-05-05T16:42:37.924675","indexId":"70208179","displayToPublicDate":"2020-01-29T19:57:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Cyanotoxin occurrence in large rivers of the United States","docAbstract":"Cyanotoxins occur in rivers worldwide but are understudied in lotic ecosystems relative to lakes and reservoirs. Eleven large river sites located throughout the United States were sampled during June–September 2017 to determine the occurrence of cyanobacteria with known cyanotoxin-producing strains, cyanotoxin synthetase genes, and cyanotoxins. Chlorophyll-a concentrations spanned the range from oligotrophic to eutrophic (0.5–64.4 µg L-1). Cyanobacteria were present in the algal communities of all rivers (82% of samples, n=50), but did not dominate the phytoplankton (0 to 52% of total abundance; mean=8.8%). Pseudanabaena and Planktothrix occurred most often and many (64%) of the cyanobacterial genera identified (n=25) have known cyanotoxin-producing strains. Cyanotoxin synthetase genes occurred in all but one river. The mcyE and sxtA genes were most common, present in 73% of rivers and 44% and 40% of samples, respectively. The cyrA gene was less common (22% of samples) but occurred in 64% of rivers. The anaC gene was detected in one river (4% of samples). Anatoxin-a and microcystins were detected at low levels (0.10–0.38 µg L-1) in two midcontinent rivers. Cylindrospermopsins and saxitoxins were not detected. Cyanobacteria, cyanotoxin synthetase genes, and cyanotoxins were present at low concentrations throughout this subset of US rivers. Eutrophic rivers located in the midcontinent region of the US had the highest algal biomass, abundance of cyanotoxin synthetase genes, and cyanotoxin occurrence.","language":"English","publisher":"Taylor and Francis ","doi":"10.1080/20442041.2019.1700749","usgsCitation":"Graham, J., Dubrovsky, N., Foster, G.M., King, L.R., Loftin, K., Rosen, B., and Stelzer, E., 2020, Cyanotoxin occurrence in large rivers of the United States: Inland Waters, v. 10, no. 1, p. 109-117, https://doi.org/10.1080/20442041.2019.1700749.","productDescription":"9 p.","startPage":"109","endPage":"117","ipdsId":"IP-108025","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":467301,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/20442041.2019.1700749","text":"Publisher Index Page"},{"id":437134,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TID1VX","text":"USGS data 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gfoster@usgs.gov","orcid":"https://orcid.org/0000-0002-9581-057X","contributorId":221956,"corporation":false,"usgs":true,"family":"Foster","given":"Guy","email":"gfoster@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Lindsey R.","contributorId":221957,"corporation":false,"usgs":false,"family":"King","given":"Lindsey","email":"","middleInitial":"R.","affiliations":[{"id":40462,"text":"USGS Kansas Water Science Center","active":true,"usgs":false}],"preferred":false,"id":780835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Keith 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221958,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":780836,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosen, Barry 0000-0002-8016-3939","orcid":"https://orcid.org/0000-0002-8016-3939","contributorId":221959,"corporation":false,"usgs":true,"family":"Rosen","given":"Barry","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":780837,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stelzer, Erin 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":221960,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780838,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208331,"text":"70208331 - 2020 - Field observations of wind waves in Upper Delaware Bay with living shorelines","interactions":[],"lastModifiedDate":"2020-05-05T16:46:39.517086","indexId":"70208331","displayToPublicDate":"2020-01-29T17:58:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Field observations of wind waves in Upper Delaware Bay with living shorelines","docAbstract":"Constructed oyster reefs (CORs) provide shore protections and habitats for fish and shellfish communities via wave energy attenuation. However, the processes and mechanism of CORs on wave attenuation remain unclear, thus limiting the effective assessment of CORs for shoreline protection. This paper presents results of a field investigation on wave characteristics and wave spectral variations along a shoreline with CORs in an estuary with a large tidal range as well as large wind waves and swell energy. Six pressure transducers were deployed from January 31 to April 2, 2018, in Gandy’s Beach, New Jersey, in upper Delaware Bay. CORs were constructed at the study site in 2016 as living shoreline structures after Hurricane Sandy. The data collected from the study site exhibits the wave variations and spectral characteristics over the span of 2 months, including four winter storms (i.e., nor’easters). The spatial variations of wave heights measured on both sides of CORs show a strong dependence on the ratio between the freeboard of CORs and the offshore wave heights. Due to the large tidal range (> 2 m), the crests of CORs remain submerged over 85% of the time. The submerged CORs only provide partial attenuation of wave energy. The wave environment in the estuary is complex, especially during nor’easters. For instance, winds with rapid changing fetches could lead to bi-modal wind seas. Due to the complex wave spectra, the bulk wave heights such as the significant wave heights cannot be adopted to adequately reveal the capacity of CORs to attenuate wave energy. Spectral analysis is conducted to investigate the spatial and temporal variations of wave energy in targeted frequency bins. The spectral analysis results reveal the energy transfer from the primary waves to the high harmonics after waves propagate over the submerged CORs. Moreover, it is found that swell energy originated from the Atlantic Ocean can penetrate CORs without any dampening even when CORs are emergent. This study could help resource managers for in-depth evaluation of living shoreline effectiveness and improvement of living shoreline structures such as CORs.","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00670-7","usgsCitation":"Zhu, L., Chen, Q., Wang, H., Capurso, W.D., Niemoczynski, L., Hu, K., and Snedden, G., 2020, Field observations of wind waves in Upper Delaware Bay with living shorelines: Estuaries and Coasts, v. 43, p. 739-755, https://doi.org/10.1007/s12237-019-00670-7.","productDescription":"17 p.","startPage":"739","endPage":"755","ipdsId":"IP-108855","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437136,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YEUNTM","text":"USGS data release","linkHelpText":"Field observations and spectral evolution of wind waves in Upper Delaware Bay with living shorelines"},{"id":372048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.56396484375,\n              38.34165619279595\n            ],\n            [\n              -74.86358642578125,\n              38.34165619279595\n            ],\n            [\n              -74.86358642578125,\n              39.42346418978382\n            ],\n            [\n              -75.56396484375,\n              39.42346418978382\n            ],\n            [\n              -75.56396484375,\n              38.34165619279595\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhu, Ling 0000-0003-0261-6848","orcid":"https://orcid.org/0000-0003-0261-6848","contributorId":222169,"corporation":false,"usgs":false,"family":"Zhu","given":"Ling","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":781438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Q. 0000-0002-6540-8758","orcid":"https://orcid.org/0000-0002-6540-8758","contributorId":56532,"corporation":false,"usgs":false,"family":"Chen","given":"Q.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":true,"id":781439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":215079,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":781437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Capurso, William D. 0000-0003-1182-2846 wcapurso@usgs.gov","orcid":"https://orcid.org/0000-0003-1182-2846","contributorId":2113,"corporation":false,"usgs":true,"family":"Capurso","given":"William","email":"wcapurso@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":781440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Niemoczynski, Lukasz M. 0000-0003-2008-9148","orcid":"https://orcid.org/0000-0003-2008-9148","contributorId":222171,"corporation":false,"usgs":true,"family":"Niemoczynski","given":"Lukasz","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hu, Kelin","contributorId":177218,"corporation":false,"usgs":false,"family":"Hu","given":"Kelin","email":"","affiliations":[],"preferred":false,"id":781442,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Snedden, Gregg 0000-0001-7821-3709 sneddeng@usgs.gov","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":140235,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg","email":"sneddeng@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":781443,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70209594,"text":"70209594 - 2020 - Are elevation and open-water conversion of salt marshes connected?","interactions":[],"lastModifiedDate":"2020-04-15T13:06:55.732548","indexId":"70209594","displayToPublicDate":"2020-01-29T08:02:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Are elevation and open-water conversion of salt marshes connected?","docAbstract":"Salt marsh assessments focus on vertical metrics such as accretion or lateral metrics such as open-water conversion, without exploration of how the dimensions are related. We exploited a novel geospatial dataset to explore how elevation is related to the unvegetated-vegetated marsh ratio (UVVR), a lateral metric, across individual marsh “units” within four estuarine-marsh systems. We find that elevation scales consistently with the UVVR across systems, with lower elevation units demonstrating more open-water conversion and higher UVVRs. A normalized elevation-UVVR relationship converges across systems near the system-mean elevation and a UVVR of 0.1, a critical threshold identified by prior studies. This indicates that open-water conversion becomes a dominant lateral instability process at a relatively conservative elevation threshold. We then integrate the UVVR and elevation to yield lifespan estimates, which demonstrate that higher elevation marshes are more resilient to internal deterioration, with an order-of-magnitude longer lifespan than predicted for lower elevation marshes.","language":"English","publisher":"Wiley","doi":"10.1029/2019GL086703","collaboration":"","usgsCitation":"Ganju, N., Defne, Z., and Fagherazzi, S., 2020, Are elevation and open-water conversion of salt marshes connected?: Geophysical Research Letters, v. 47, no. 3, e2019GL086703, 10 p., https://doi.org/10.1029/2019GL086703.","productDescription":"e2019GL086703, 10 p.","ipdsId":"IP-115070","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":457974,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl086703","text":"Publisher Index Page"},{"id":374007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, New York, Maryland, Virginia","city":"","otherGeospatial":"Plum Island Estuary, Cape Cod National Seashore, Great South Bay, Chincoteague Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.94970703125,\n              42.439674178149424\n            ],\n            [\n              -70.5487060546875,\n              42.439674178149424\n            ],\n            [\n              -70.5487060546875,\n              42.87596410238256\n            ],\n            [\n              -70.94970703125,\n              42.87596410238256\n            ],\n            [\n              -70.94970703125,\n              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Center","active":true,"usgs":true}],"preferred":true,"id":787047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagherazzi, Sergio","contributorId":207153,"corporation":false,"usgs":false,"family":"Fagherazzi","given":"Sergio","email":"","affiliations":[{"id":37465,"text":"Boston University, Earth and Environment, Boston, 02215, USA.","active":true,"usgs":false}],"preferred":false,"id":787048,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228598,"text":"70228598 - 2020 - Climate and human water use diminish wetland networks supporting continental waterbird migration","interactions":[],"lastModifiedDate":"2022-02-14T17:22:16.822394","indexId":"70228598","displayToPublicDate":"2020-01-28T10:42:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Climate and human water use diminish wetland networks supporting continental waterbird migration","docAbstract":"<p><span>Migrating waterbirds moving between upper and lower latitudinal breeding and wintering grounds rely on a limited network of endorheic lakes and wetlands when crossing arid continental interiors. Recent drying of global endorheic water stores raises concerns over deteriorating migratory pathways, yet few studies have considered these effects at the scale of continental flyways. Here, we investigate the resiliency of waterbird migration networks across western North America by reconstructing long-term patterns (1984–2018) of terminal lake and wetland surface water area in 26 endorheic watersheds. Findings were partitioned regionally by snowmelt- and monsoon-driven hydrologies and combined with climate and human water-use data to determine their importance in predicting surface water trends. Nonlinear patterns of lake and wetland drying were apparent along latitudinal flyway gradients. Pervasive surface water declines were prevalent in northern snowmelt watersheds (lakes −27%, wetlands −47%) while largely stable in monsoonal watersheds to the south (lakes −13%, wetlands +8%). Monsoonal watersheds represented a smaller proportion of total lake and wetland area, but their distribution and frequency of change within highly arid regions of the continental flyway increased their value to migratory waterbirds. Irrigated agriculture and increasing evaporative demands were the most important drivers of surface water declines. Underlying agricultural and wetland relationships however were more complex. Approximately 7% of irrigated lands linked to flood irrigation and water storage practices supported 61% of all wetland inundation in snowmelt watersheds. In monsoonal watersheds, small earthen dams, meant to capture surface runoff for livestock watering, were a major component of wetland resources (67%) that supported networks of isolated wetlands surrounding endorheic lakes. Ecological trends and human impacts identified herein underscore the importance of assessing flyway-scale change as our model depictions likely reflect new and emerging bottlenecks to continental migration.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15010","usgsCitation":"Donnelly, J., King, S.L., Silverman, N., Collins, D., Carrera-Gonzalez, E., Lafon-Terrazas, A., and Moore, J., 2020, Climate and human water use diminish wetland networks supporting continental waterbird migration: Global Change Biology, v. 26, no. 4, p. 2042-2059, https://doi.org/10.1111/gcb.15010.","productDescription":"18 p.","startPage":"2042","endPage":"2059","ipdsId":"IP-112789","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":457990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.15010","text":"Publisher Index Page"},{"id":395897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","volume":"26","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Donnelly, J.P.","contributorId":276300,"corporation":false,"usgs":false,"family":"Donnelly","given":"J.P.","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":834724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silverman, N.L.","contributorId":276301,"corporation":false,"usgs":false,"family":"Silverman","given":"N.L.","email":"","affiliations":[{"id":56951,"text":"Adaptive Hydrology, LLC","active":true,"usgs":false}],"preferred":false,"id":834726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, D. P.","contributorId":276303,"corporation":false,"usgs":false,"family":"Collins","given":"D. P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":834727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carrera-Gonzalez, E.M.","contributorId":276304,"corporation":false,"usgs":false,"family":"Carrera-Gonzalez","given":"E.M.","affiliations":[{"id":56953,"text":"Ducks Unlimited - Mexico","active":true,"usgs":false}],"preferred":false,"id":834728,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lafon-Terrazas, A.","contributorId":276305,"corporation":false,"usgs":false,"family":"Lafon-Terrazas","given":"A.","email":"","affiliations":[{"id":56954,"text":"PROFAUNA","active":true,"usgs":false}],"preferred":false,"id":834729,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, J.N.","contributorId":276306,"corporation":false,"usgs":false,"family":"Moore","given":"J.N.","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":834730,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70228334,"text":"70228334 - 2020 - Outmigration survival of wild Chinook salmon smolts through the Sacramento River during historic drought and high water conditions","interactions":[],"lastModifiedDate":"2022-02-10T12:01:02.411732","indexId":"70228334","displayToPublicDate":"2020-01-27T16:26:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Outmigration survival of wild Chinook salmon smolts through the Sacramento River during historic drought and high water conditions","docAbstract":"Populations of wild spring-run Chinook salmon in California’s Central Valley, once numbering in the millions, have dramatically declined to record low numbers. Dam construction, habitat degradation, and altered flow regimes have all contributed to depress populations, which currently persist in only a few tributaries to the Sacramento River. Mill Creek (Tehama County) continues to support these threatened fish, and contains some of the most pristine spawning and rearing habitat available in the Central Valley. Despite this pristine habitat, the number of Chinook salmon returning to spawn has declined to record low numbers, likely due to poor outmigration survival rates. From 2013-2017, 334 smolts were captured and acoustic tagged while out-migrating from Mill Creek, allowing for movement and survival rates to be tracked over 250 kilometers through the Sacramento River. During this study California experienced both a historic drought and record rainfall, resulting in dramatic fluctuations in year-to-year river flow and water temperature. Cumulative survival of tagged smolts from Mill Creek through the Sacramento River was 9.5% (±1.6) during the study, with relatively low survival during historic drought conditions in 2015 (4.9% ± 1.6) followed by increased survival during high flows in 2017 (42.3% ± 9.1). Survival in Mill Creek and the Sacramento River was modeled over a range of flow values, which indicated that higher flows in each region result in increased survival rates. Survival estimates gathered in this study can help focus management and restoration actions over a relatively long migration corridor to specific regions of low survival, and provide guidance for management actions in the Sacramento River aimed at restoring populations of threatened Central Valley spring-run Chinook salmon.","language":"English","publisher":"Wiley","doi":"10.1007/s10641-020-00952-1","usgsCitation":"Notch, J.J., McHuron, A.S., Michel, C., Cordoleani, F., Johnson, M., Henderson, M., and Ammann, A., 2020, Outmigration survival of wild Chinook salmon smolts through the Sacramento River during historic drought and high water conditions: Environmental Biology of Fishes, v. 103, p. 561-576, https://doi.org/10.1007/s10641-020-00952-1.","productDescription":"16 p.","startPage":"561","endPage":"576","ipdsId":"IP-110532","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":457993,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10641-020-00952-1","text":"Publisher Index Page"},{"id":395740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lassen National Forest, Lassen National Park, Mill Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.60693359374999,\n              37.26530995561875\n            ],\n            [\n              -121.6845703125,\n              37.26530995561875\n            ],\n            [\n              -121.6845703125,\n              41.062786068733026\n            ],\n            [\n              -124.60693359374999,\n              41.062786068733026\n            ],\n            [\n              -124.60693359374999,\n              37.26530995561875\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"103","noUsgsAuthors":false,"publicationDate":"2020-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Notch, Jeremy J.","contributorId":275201,"corporation":false,"usgs":false,"family":"Notch","given":"Jeremy","email":"","middleInitial":"J.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":833806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHuron, Alex S.","contributorId":275202,"corporation":false,"usgs":false,"family":"McHuron","given":"Alex","email":"","middleInitial":"S.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":833807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michel, Cyril J.","contributorId":275203,"corporation":false,"usgs":false,"family":"Michel","given":"Cyril J.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":833808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cordoleani, Flora","contributorId":275204,"corporation":false,"usgs":false,"family":"Cordoleani","given":"Flora","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":833809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Matt","contributorId":275205,"corporation":false,"usgs":false,"family":"Johnson","given":"Matt","email":"","affiliations":[{"id":54562,"text":"cdfw","active":true,"usgs":false}],"preferred":false,"id":833810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":833805,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ammann, Arnold J.","contributorId":275206,"corporation":false,"usgs":false,"family":"Ammann","given":"Arnold J.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":833811,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70214023,"text":"70214023 - 2020 - Molecular identification of water-extractable organic carbon from thermally heated soils: C-13 NMR and accurate mass analyses find benzene and pyridine carboxylic acids","interactions":[],"lastModifiedDate":"2020-09-21T14:14:22.816179","indexId":"70214023","displayToPublicDate":"2020-01-27T09:10:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Molecular identification of water-extractable organic carbon from thermally heated soils: C-13 NMR and accurate mass analyses find benzene and pyridine carboxylic acids","docAbstract":"<p><span>To simulate the effects of wildfire on the combustion process in soils and their potential to leach organic compounds into streams and groundwater, mineral soil samples were heated at temperatures of 150–550 °C. Then, the soils were leached with deionized water, filtered, and analyzed for dissolved organic carbon. The water extract was concentrated by both XAD-8 and XAD-4 resins and analyzed by C-13 nuclear magnetic resonance and liquid chromatography time-of-flight mass spectrometry. Approximately 15–20% of the water-extractable organic carbon was identified as benzene dicarboxylic acids, tricarboxylic acids, and tetracarboxylic acid isomers, commonly called BPCAs. Also identified were isomers of pyridine dicarboxylic acids and tricarboxylic acids (PCAs). The conversion of soil organic carbon to BPCAs occurs at 250 °C and reaches a maximum between 350 and 450 °C. At higher temperatures (&gt;450 °C), the BPCA concentrations decrease, suggesting decarboxylation and conversion to carbon dioxide and water. This is the first report of BPCAs and PCAs in water-extractable organic carbon from thermally altered soil and suggest that these compounds are possible candidates for further water-quality studies in watersheds affected by wildfire. Finally, BPCAs and PCAs could contribute to the black carbon and nitrogen in seawater and are worthy of future investigation.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.9b05230","usgsCitation":"Thurman, E.M., Yu, Y., Ferrer, I., Thorn, K., and Rosario-Ortiz, F.L., 2020, Molecular identification of water-extractable organic carbon from thermally heated soils: C-13 NMR and accurate mass analyses find benzene and pyridine carboxylic acids: Environmental Science and Technology, v. 54, no. 5, p. 2994-3001, https://doi.org/10.1021/acs.est.9b05230.","productDescription":"8 p.","startPage":"2994","endPage":"3001","ipdsId":"IP-108068","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":378595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Thurman, Earl Michael","contributorId":240986,"corporation":false,"usgs":false,"family":"Thurman","given":"Earl","email":"","middleInitial":"Michael","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":799259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yu, Yun","contributorId":240988,"corporation":false,"usgs":false,"family":"Yu","given":"Yun","email":"","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":799260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrer, Imma","contributorId":169362,"corporation":false,"usgs":false,"family":"Ferrer","given":"Imma","email":"","affiliations":[{"id":25480,"text":"Univ of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":799261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thorn, Kevin A. 0000-0003-2236-5193","orcid":"https://orcid.org/0000-0003-2236-5193","contributorId":220016,"corporation":false,"usgs":true,"family":"Thorn","given":"Kevin A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":799262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosario-Ortiz, Fernando L.","contributorId":240990,"corporation":false,"usgs":false,"family":"Rosario-Ortiz","given":"Fernando","email":"","middleInitial":"L.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":799263,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70223371,"text":"70223371 - 2020 - Effects of temperature on hatching rate and early development of alligator gar and spotted gar in a laboratory setting","interactions":[],"lastModifiedDate":"2021-08-25T13:11:18.644277","indexId":"70223371","displayToPublicDate":"2020-01-27T08:08:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of temperature on hatching rate and early development of alligator gar and spotted gar in a laboratory setting","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Water temperature influences both morphological and physiological development in fishes. However, the effects of water temperature on the early development of Alligator Gar<span>&nbsp;</span><i>Atractosteus spatula</i><span>&nbsp;</span>and Spotted Gar<span>&nbsp;</span><i>Lepisosteus oculatus</i><span>&nbsp;</span>are not well understood. Both gar species were collected from natural environments and spawned in a hatchery setting. After spawning, fertilized embryos were collected and transferred to the Oklahoma Fishery Research Laboratory, where the embryos (50–72&nbsp;embryos/treatment) were placed into one of five water temperature treatments (15.5, 20.0, 23.8, 27.5, and 32.2°C) and observed over time to estimate the time to hatch and the time to reach the free-swimming stage. Both species showed an inverse relationship between temperature and the timing of hatch and advancement to free-swimming fingerlings for all treatments. In addition, Alligator Gar embryos did not develop at the coldest water temperature tested, and Alligator Gar juveniles held at the warmest temperature tested were observed with developmental abnormalities, potentially affecting their survival. The same temperature extremes had no comparable negative effect on Spotted Gar. The results of this study are useful for understanding early life history dynamics of these two species in their natural environments and can also be used by hatchery managers who are seeking to optimize their production protocols.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10397","usgsCitation":"Long, J.M., Snow, R.A., and Porta, M., 2020, Effects of temperature on hatching rate and early development of alligator gar and spotted gar in a laboratory setting: North American Journal of Fisheries Management, v. 40, no. 3, p. 661-668, https://doi.org/10.1002/nafm.10397.","productDescription":"8 p.","startPage":"661","endPage":"668","ipdsId":"IP-102712","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":388477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":821885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snow, Richard A.","contributorId":264712,"corporation":false,"usgs":false,"family":"Snow","given":"Richard","middleInitial":"A.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":821884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porta, M. J.","contributorId":264714,"corporation":false,"usgs":false,"family":"Porta","given":"M. J.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":821886,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70215337,"text":"70215337 - 2020 - Constraints on eruption processes and event masses for the 2016–2017 eruption of Bogoslof volcano, Alaska, through evaluation of IASI satellite SO2 masses and complementary datasets","interactions":[],"lastModifiedDate":"2020-10-15T19:52:05.64958","indexId":"70215337","displayToPublicDate":"2020-01-25T14:42:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on eruption processes and event masses for the 2016–2017 eruption of Bogoslof volcano, Alaska, through evaluation of IASI satellite SO2 masses and complementary datasets","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Bogoslof volcano, Alaska, experienced at least 70 explosive eruptions between 12 December 2016 and 31 August 2017. Due to its remote location and limited local monitoring network, this eruption was monitored and characterized primarily using remote geophysical and satellite techniques. SO<sub>2</sub><span>&nbsp;</span>emissions from Bogoslof were persistently detected by the Infrared Atmospheric Sounding Interferometer (IASI) satellite sensors. Of Bogoslof’s 70 explosive events, 50% produced measurable SO<sub>2</sub><span>&nbsp;</span>masses ranging from 0.1 to 21.5&nbsp;kt, with a median and standard deviation of 0.7 ± 4.0 kt SO<sub>2</sub>, respectively. Here, we compare IASI-derived SO<sub>2</sub><span>&nbsp;</span>masses from Bogoslof events to complementary geophysical datasets to provide insights into eruption source processes, namely the degree of seawater scrubbing of water-soluble SO<sub>2</sub><span>&nbsp;</span>and variations in magma flux. Correlations with the number of lightning strokes and infrasound energy are expected to indicate magma-flux as a controlling process, while correlations with infrasound frequency index are expected to indicate variations in vent-water content as a controlling factor. These comparisons suggest that the measured SO<sub>2</sub><span>&nbsp;</span>masses are primarily a function of eruption magnitude (degassed magma mass) and that scrubbing of SO<sub>2</sub><span>&nbsp;</span>emissions by vent seawater may have exerted a minor effect on the observed SO<sub>2</sub><span>&nbsp;</span>masses. SO<sub>2</sub><span>&nbsp;</span>masses were combined with petrologic constraints on melt inclusion and matrix glass S concentrations to calculate degassed magma masses and volumes. The cumulative SO<sub>2</sub>-derived degassed magma mass and estimated volume (dense-rock equivalent) for the full Bogoslof eruption were found to be 2.8 × 10<sup>10</sup>&nbsp;kg and 9.3 × 10<sup>6</sup>&nbsp;m<sup>3</sup>, respectively. When individual event masses are compared against event masses calculated using an empirical plume-height method, a strong correlation is found (<i>R</i><sup>2</sup> = 0.83), with better than order-of-magnitude agreement in most cases. These estimates of eruption masses provide useful information on the magnitude, behavior, and associated hazards of the 2016–2017 eruption, and potentially future unrest at Bogoslof volcano.</p></div></div><div id=\"cobranding-and-download-availability-text\" class=\"note test-pdf-link\"><br></div>","language":"English","publisher":"Springer","doi":"10.1007/s00445-019-1348-z","usgsCitation":"Lopez, T., Clarisse, L., Schwaiger, H., Van Eaton, A.R., Loewen, M.W., Fee, D., Lyons, J.J., Wallace, K.L., Searcy, C., Wech, A., Haney, M.M., Schneider, D.J., and Graham, N., 2020, Constraints on eruption processes and event masses for the 2016–2017 eruption of Bogoslof volcano, Alaska, through evaluation of IASI satellite SO2 masses and complementary datasets: Bulletin of Volcanology, v. 82, 17, 17 p., https://doi.org/10.1007/s00445-019-1348-z.","productDescription":"17, 17 p.","ipdsId":"IP-108986","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488432,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/301667","text":"External Repository"},{"id":379433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bogoslof volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.255615234375,\n              53.04451562644129\n            ],\n            [\n              -165.47607421874997,\n              53.04451562644129\n            ],\n            [\n              -165.47607421874997,\n              54.17529672404642\n            ],\n            [\n              -168.255615234375,\n              54.17529672404642\n            ],\n            [\n              -168.255615234375,\n              53.04451562644129\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2020-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Lopez, Taryn","contributorId":237830,"corporation":false,"usgs":false,"family":"Lopez","given":"Taryn","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":801768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clarisse, Lieven","contributorId":199561,"corporation":false,"usgs":false,"family":"Clarisse","given":"Lieven","email":"","affiliations":[],"preferred":false,"id":801769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwaiger, Hans 0000-0001-7397-8833","orcid":"https://orcid.org/0000-0001-7397-8833","contributorId":214983,"corporation":false,"usgs":true,"family":"Schwaiger","given":"Hans","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loewen, Matthew W. 0000-0002-5621-285X","orcid":"https://orcid.org/0000-0002-5621-285X","contributorId":213321,"corporation":false,"usgs":true,"family":"Loewen","given":"Matthew","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801772,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fee, David","contributorId":199660,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[],"preferred":false,"id":801773,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801774,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801775,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Searcy, Cheryl 0000-0002-9474-5745","orcid":"https://orcid.org/0000-0002-9474-5745","contributorId":243217,"corporation":false,"usgs":true,"family":"Searcy","given":"Cheryl","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801776,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801777,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":801778,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":801779,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Graham, Nathan 0000-0002-8100-207X","orcid":"https://orcid.org/0000-0002-8100-207X","contributorId":242809,"corporation":false,"usgs":false,"family":"Graham","given":"Nathan","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":801780,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70208508,"text":"70208508 - 2020 - The influence of frost weathering on the debris flow sediment supply in an alpine basin","interactions":[],"lastModifiedDate":"2020-12-18T21:19:02.036773","indexId":"70208508","displayToPublicDate":"2020-01-25T08:52:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"The influence of frost weathering on the debris flow sediment supply in an alpine basin","docAbstract":"Rocky, alpine mountains are prone to mass wasting from debris flows. The Chalk Cliffs\n\tstudy area (central Colorado, USA) produces debris flows annually. These debris flows\n\tare triggered when overland flow driven by intense summer convective storms mobilizes\n\tlarge volumes of sediment within the channel network. Understanding the debris flow\n\n\thazard in this, and similar alpine settings, requires determining the magnitude of sed-\n\timent accumulation between debris flow seasons, and identifying the control on sediment\n\tproduction. To address these knowledge gaps, we measured changes in sediment produc-\n\n\ttion using a sediment retention fence to quantify how sedimentation was influenced by\n\ttemperature at the plot scale. These measurements were extrapolated to a larger area,\n\twhere we extended the sediment fence results to explore how rockfall sedimentation con-\n\ttributed to channel refilling between active debris flow periods. This work shows debris\n\n\tflow channel refilling is correlated with low temperatures and time in the frost-cracking\n\twindow, implicating frost weathering mechanisms as a key driver of sedimentation. This\n\tsediment production process resulted in a large amount of sediment accumulation dur-\n\n\ting a single winter season in our study reach (up to 0.4 m in some locations). Using these\n\tobservations, we develop a channel refilling model that generally describes the mass bal-\n\tance of debris flow watersheds in alpine areas.","language":"English","publisher":"AGU","doi":"10.1029/2019JF005369","usgsCitation":"Rengers, F.K., Kean, J.W., Reitman, N.G., Smith, J.B., Coe, J.A., and McGuire, L., 2020, The influence of frost weathering on the debris flow sediment supply in an alpine basin: Journal of Geophysical Research, v. 125, no. 2, e2019JF005369, 16 p., https://doi.org/10.1029/2019JF005369.","productDescription":"e2019JF005369, 16 p.","ipdsId":"IP-114466","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":458002,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jf005369","text":"Publisher Index Page"},{"id":437141,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VTVU6Q","text":"USGS data release","linkHelpText":"Monitoring environmental controls on debris-flow sediment supply, Chalk Cliffs, Colorado, 2011 to 2015"},{"id":437140,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CZ36BS","text":"USGS data release","linkHelpText":"Chalk Cliffs Channel Surveys derived from Structure-from-Motion"},{"id":372311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Chalk Cliffs","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.45957946777344,\n              38.504116723098484\n            ],\n            [\n              -106.09634399414061,\n              38.504116723098484\n            ],\n            [\n              -106.09634399414061,\n              38.82366088659335\n            ],\n            [\n              -106.45957946777344,\n              38.82366088659335\n            ],\n            [\n              -106.45957946777344,\n              38.504116723098484\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782195,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":782196,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGuire, Luke","contributorId":197027,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","affiliations":[],"preferred":false,"id":782197,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208339,"text":"70208339 - 2020 - Herpetofauna occupancy and community composition along a tidal swamp salinity gradient","interactions":[],"lastModifiedDate":"2020-10-28T15:14:42.1013","indexId":"70208339","displayToPublicDate":"2020-01-24T15:37:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Herpetofauna occupancy and community composition along a tidal swamp salinity gradient","docAbstract":"Occupancy patterns of herpetofauna in most tidal freshwater swamps are unknown. Tidal freshwater swamps currently face multiple threats, including salinization, which can influence their associated plant and animal communities. The impacts of salinization to herpetofauna communities in tidal freshwater swamps have not been assessed. To improve predictions regarding these herpetofauna, we conducted surveys in tidal freshwater swamps of the Savannah National Wildlife Refuge located in South Carolina, USA, from March to June, 2016 and 2017, using a variety of methods. Goals included inventorying species, determining communities, examining microhabitat associations, and modeling occupancy to predict the impacts of salinity changes. We detected 8 species of amphibians and 12 species of reptiles in our surveys. Community analyses failed to detect patterns related to measured environmental variables. Species richness and diversity declined along the salinity gradient, but the observed patterns did not match our predictions and may instead be related to site-level heterogeneity. Microhabitat associations were detected for two amphibian species via occupancy analyses. Occupancy and regression analyses indicated soil salinity may be a factor affecting nine species’ occurrences. Amphibian detections may be affected by water depth, pH values, and weather conditions. These results expand our understanding of herpetofauna within an understudied, and threatened, wetland type.","language":"English","publisher":"Springer","doi":"10.1007/s13157-019-01260-w","usgsCitation":"Godfrey, S., Waddle, J.H., Baldwin, R., Conner, W.H., Bridges, W., and Duberstein, J., 2020, Herpetofauna occupancy and community composition along a tidal swamp salinity gradient: Wetlands, v. 40, p. 1561-1575, https://doi.org/10.1007/s13157-019-01260-w.","productDescription":"15 p.","startPage":"1561","endPage":"1575","ipdsId":"IP-103495","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":458006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-019-01260-w","text":"Publisher Index Page"},{"id":372026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Savannah National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.15119934082031,\n              32.02903481873586\n            ],\n            [\n              -80.88890075683594,\n              32.02903481873586\n            ],\n            [\n              -80.88890075683594,\n              32.27378066442218\n            ],\n            [\n              -81.15119934082031,\n              32.27378066442218\n            ],\n            [\n              -81.15119934082031,\n              32.02903481873586\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Godfrey, Sidney T","contributorId":222188,"corporation":false,"usgs":false,"family":"Godfrey","given":"Sidney T","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":781475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":781474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Robert F","contributorId":222189,"corporation":false,"usgs":false,"family":"Baldwin","given":"Robert F","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":781476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":781477,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bridges, William C","contributorId":222190,"corporation":false,"usgs":false,"family":"Bridges","given":"William C","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":781478,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duberstein, Jamie A.","contributorId":91007,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jamie A.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":781479,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208121,"text":"70208121 - 2020 - Uptake, metabolism, and elimination of fungicides from coated wheat seeds in Japanese quail (Coturnix japonica)","interactions":[],"lastModifiedDate":"2020-02-25T08:15:12","indexId":"70208121","displayToPublicDate":"2020-01-24T13:47:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2149,"text":"Journal of Agricultural and Food Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Uptake, metabolism, and elimination of fungicides from coated wheat seeds in Japanese quail (Coturnix japonica)","docAbstract":"Pesticides coated to the seed surface potentially pose an ecological risk to granivorous birds that consume incompletely buried or spilled seeds. To assess the toxicokinetics of seeds treated with current-use fungicides, Japanese quail (Coturnix japonica) were orally dosed with commercially coated wheat seeds. Quail were exposed to metalaxyl, tebuconazole, and fludioxonil at either a low (0.07, 0.03, and 0.03 mg/kg body weight) or high dose (0.2, 0.09, and 0.1 mg/kg body weight). Fungicides were rapidly absorbed and distributed to tissues. Tebuconazole was metabolized into t-butylhydroxy-tebuconazole. All compounds were eliminated to below detection limits within 24 h. The high detection frequencies observed in fecal samples potentially offers a noninvasive matrix to monitor pesticide exposure. Summing total body burden across plasma, tissue, and fecal samples, less than 9% of the administered dose was identified as the parent fungicide, demonstrating the importance to monitor both active ingredients and their metabolites in biological samples.","language":"English","publisher":"ACS","doi":"10.1021/acs.jafc.9b05668","usgsCitation":"Gross, M.S., Bean, T.G., Hladik, M.L., Rattner, B.A., and Kuivila, K., 2020, Uptake, metabolism, and elimination of fungicides from coated wheat seeds in Japanese quail (Coturnix japonica): Journal of Agricultural and Food Chemistry, v. 68, no. 6, p. 1514-1524, https://doi.org/10.1021/acs.jafc.9b05668.","productDescription":"11 p.","startPage":"1514","endPage":"1524","ipdsId":"IP-111108","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":371654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Gross, Michael S. 0000-0002-2433-166X","orcid":"https://orcid.org/0000-0002-2433-166X","contributorId":213604,"corporation":false,"usgs":true,"family":"Gross","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bean, Thomas G. 0000-0002-3577-1994","orcid":"https://orcid.org/0000-0002-3577-1994","contributorId":221812,"corporation":false,"usgs":false,"family":"Bean","given":"Thomas","email":"","middleInitial":"G.","affiliations":[{"id":40435,"text":"Department of Environmental Science and Technology, University of Maryland","active":true,"usgs":false}],"preferred":false,"id":780566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221087,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":780568,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":190790,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn","email":"kkuivila@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780569,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208848,"text":"70208848 - 2020 - Tidal wetland gross primary production across the continental United States, 2000–2019","interactions":[],"lastModifiedDate":"2020-03-03T11:00:07","indexId":"70208848","displayToPublicDate":"2020-01-24T10:39:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Tidal wetland gross primary production across the continental United States, 2000–2019","docAbstract":"<p><span>We mapped tidal wetland gross primary production (GPP) with unprecedented detail for multiple wetland types across the continental United States (CONUS) at 16‐day intervals for the years 2000–2019. To accomplish this task, we developed the spatially explicit Blue Carbon (BC) model, which combined tidal wetland cover and field‐based eddy covariance tower data into a single Bayesian framework, and used a super computer network and remote sensing imagery (Moderate Resolution Imaging Spectroradiometer Enhanced Vegetation Index). We found a strong fit between the BC model and eddy covariance data from 10 different towers (</span><i>r</i><sup>2</sup><span>&nbsp;= 0.83,&nbsp;</span><i>p</i><span>&nbsp;&lt; 0.001, root‐mean‐square error = 1.22 g C/m</span><sup>2</sup><span>/day, average error was 7% with a mean bias of nearly zero). When compared with NASA's MOD17 GPP product, which uses a generalized terrestrial algorithm, the BC model reduced error by approximately half (MOD17 had&nbsp;</span><i>r</i><sup>2</sup><span>&nbsp;= 0.45,&nbsp;</span><i>p</i><span>&nbsp;&lt; 0.001, root‐mean‐square error of 3.38 g C/m</span><sup>2</sup><span>/day, average error of 15%). The BC model also included mixed pixels in areas not covered by MOD17, which comprised approximately 16.8% of CONUS tidal wetland GPP. Results showed that across CONUS between 2000 and 2019, the average daily GPP per m</span><sup>2</sup><span>&nbsp;was 4.32 ± 2.45 g C/m</span><sup>2</sup><span>/day. The total annual GPP for the CONUS was 39.65 ± 0.89 Tg C/year. GPP for the Gulf Coast was nearly double that of the Atlantic and Pacific Coasts combined. Louisiana alone accounted for 15.78 ± 0.75 Tg C/year, with its Atchafalaya/Vermillion Bay basin at 4.72 ± 0.14 Tg C/year. The BC model provides a robust platform for integrating data from disparate sources and exploring regional trends in GPP across tidal wetlands.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GB006349","usgsCitation":"Feagin, R., Forbrich, I., Huff, T.P., Barr, J., Ruiz-Plancarte, J., Fuentes, J., Najjar, R., Vargas, R., Vazquez Lule, A., Windham-Myers, L., Kroeger, K.D., Ward, E.J., Moore, G.W., Leclerc, M., Krauss, K., Stagg, C., Alber, M., Knox, S.H., Schafer, K.V., Bianchi, T., Hutchings, J., Nahrawi, H., Noormets, A., Mitra, B., Jaimes, A., Hinson, A., Bergamaschi, B.A., King, J., and Miao, G., 2020, Tidal wetland gross primary production across the continental United States, 2000–2019: Global Biogeochemical Cycles, v. 34, no. 2, e2019GB006349, 25 p., https://doi.org/10.1029/2019GB006349.","productDescription":"e2019GB006349, 25 p.","ipdsId":"IP-115587","costCenters":[{"id":154,"text":"California Water Science 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,{"id":70210167,"text":"70210167 - 2020 - Natural gas hydrates: Status of potential as an energy resource","interactions":[],"lastModifiedDate":"2020-05-19T15:35:12.756526","indexId":"70210167","displayToPublicDate":"2020-01-24T10:29:26","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Natural gas hydrates: Status of potential as an energy resource","docAbstract":"Gas hydrate is a widespread naturally-occurring combination of water and natural gases.  Gas hydrate is found in shallow sediments of deepwater regions of the continental margins and in areas of continuous permafrost.  Where gas supply is sufficient and migration pathways connect gas sources to favorable reservoirs, gas hydrate can accumulate to resource densities that may be attractive for gas production.  Global research on the potential commercial viability of gas extraction from gas hydrates continues, predominantly in Asia and in the United States, where current efforts focus on the controlled destabilization of high-saturation deposits housed in sand and/or silt-rich reservoirs.  This chapter reviews the current state of gas hydrate resource exploration and appraisal, the most promising production approaches identified to date, and the likely technical challenges to commercial production.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Future energy","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-08-102886-5.00006-2","usgsCitation":"Boswell, R., Hancock, S., Yamamoto, K., Collett, T., Pratap, M., and Lee, S., 2020, Natural gas hydrates: Status of potential as an energy resource, chap. 6 <i>of</i> Future energy, p. 111-131, https://doi.org/10.1016/B978-0-08-102886-5.00006-2.","productDescription":"21 p.","startPage":"111","endPage":"131","ipdsId":"IP-106861","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":495034,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/b978-0-08-102886-5.00006-2","text":"Publisher Index Page"},{"id":374928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boswell, Ray","contributorId":224746,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[{"id":28000,"text":"National Energy Technology Laboratory, Pittsburgh, PA, USA","active":true,"usgs":false}],"preferred":false,"id":789380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hancock, Steve","contributorId":224747,"corporation":false,"usgs":false,"family":"Hancock","given":"Steve","affiliations":[{"id":40931,"text":"XtremeWell Engineering Inc., Calgary, Canada","active":true,"usgs":false}],"preferred":false,"id":789381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yamamoto, Koji","contributorId":224748,"corporation":false,"usgs":false,"family":"Yamamoto","given":"Koji","affiliations":[{"id":40932,"text":"Japan Oil, Gas, and Metals National Corporation, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":789382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220806,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":789383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pratap, Mahendra","contributorId":224749,"corporation":false,"usgs":false,"family":"Pratap","given":"Mahendra","email":"","affiliations":[{"id":40933,"text":"Directorate General of Hydrocarbons, Dehli, India","active":true,"usgs":false}],"preferred":false,"id":789384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, Sung-Rock","contributorId":224750,"corporation":false,"usgs":false,"family":"Lee","given":"Sung-Rock","affiliations":[{"id":40934,"text":"KIGAM, Korea","active":true,"usgs":false}],"preferred":false,"id":789385,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208960,"text":"70208960 - 2020 - Water tracks enhance water flow above permafrost in upland Arctic Alaska hillslopes","interactions":[],"lastModifiedDate":"2020-03-10T08:25:31","indexId":"70208960","displayToPublicDate":"2020-01-24T08:24:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Water tracks enhance water flow above permafrost in upland Arctic Alaska hillslopes","docAbstract":"Upland permafrost regions occupy approximately one third of the Arctic landscape. In upland regions, hydrologic fluxes are influenced by water tracks, curvilinear features on hillslopes that preferentially fill with and route water in response to snowmelt and rainfall when the soil above continuous permafrost thaws in the summer. As continued warming of the Arctic may alter hydrologic cycling leading to increased frequency of extreme hydrologic events like drought and flooding as well as modification of biogeochemical cycling, it is imperative to untangle the interplay between precipitation, runoff, and subsurface flow as water is routed from upland Arctic regions to the Arctic Ocean. This study quantifies how ground surface temperatures affect groundwater discharge from hillslopes with water tracks in the upland Arctic by employing a three-dimensional, physically based subsurface flow model with variable saturation and freeze and thaw capabilities that is calibrated to field measurements from the Upper Kuparuk River watershed on the North Slope of Alaska, USA. Model analysis indicates that higher ground surface temperatures along water track hillslopes promote increases in groundwater discharge where water tracks act as conduits for large recharge events and continue to discharge groundwater into the autumn after the adjacent hillslope has frozen. Simulating the conditions that distinguish water tracks from their hillslope watersheds changes subsurface water storage and ground thermal responses but does not alter the total magnitude of groundwater discharge outside of parameter uncertainty. These findings suggest that water tracks play a complex and critical role in hydrologic cycles of the upland Arctic.","language":"English","publisher":"Wiley","doi":"10.1029/2019JF005256","usgsCitation":"Evans, S.G., Godsey, S., Rushlow, C.R., and Voss, C., 2020, Water tracks enhance water flow above permafrost in upland Arctic Alaska hillslopes: Journal of Geophysical Research F: Earth Surface, v. 125, no. 2, e2019JF005256, https://doi.org/10.1029/2019JF005256.","productDescription":"e2019JF005256","ipdsId":"IP-114552","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":458014,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jf005256","text":"Publisher Index Page"},{"id":373038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -161.015625,\n              66.6181218846659\n            ],\n            [\n              -140.80078125,\n              66.68778386116203\n            ],\n            [\n              -141.328125,\n              70.05059634999759\n            ],\n            [\n              -157.1484375,\n              71.71888229713917\n            ],\n            [\n              -162.509765625,\n              70.95969716686398\n            ],\n            [\n              -167.34375,\n              68.8159271333607\n            ],\n            [\n              -166.2890625,\n              68.0404612590484\n            ],\n            [\n              -162.509765625,\n              66.40795547978848\n            ],\n            [\n              -161.015625,\n              66.6181218846659\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Sarah G.","contributorId":203464,"corporation":false,"usgs":false,"family":"Evans","given":"Sarah","email":"","middleInitial":"G.","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":784202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godsey, Sarah E","contributorId":223120,"corporation":false,"usgs":false,"family":"Godsey","given":"Sarah E","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":784203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rushlow, Caitlin R","contributorId":223121,"corporation":false,"usgs":false,"family":"Rushlow","given":"Caitlin","email":"","middleInitial":"R","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":784204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voss, Clifford I. 0000-0001-5923-2752","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":211844,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":784201,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208272,"text":"70208272 - 2020 - Soil shear strength losses in two fresh marshes with variable increases in N and P loading","interactions":[],"lastModifiedDate":"2020-10-28T15:13:27.375074","indexId":"70208272","displayToPublicDate":"2020-01-24T07:01:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Soil shear strength losses in two fresh marshes with variable increases in N and P loading","docAbstract":"We measured soil shear strength (SSS) from 2009 to 2018 in two hydrologically distinct freshwater marshes dominated by Panicum hemitomon after nitrogen (N) and phosphorous (P) were applied to the surface in spring. The average SSS averaged over 100 cm depth in the floating and anchored marshes declined up to 30% throughout the profiles and with no apparent differences in the effects of the low, medium, and high N+P dosing. Plots with only N or P additions exhibited significant changes in SSS at individual depths below 40 cm for the anchored marsh, but not the floating marsh. The average SSS for the anchored marsh over the entire 100 cm profile declined when N and P were added separately or together. At the floating marsh, however, the SSS decreased when N and P were added in combination, or P alone, but not for the N addition. Increasing nutrient availability to these freshwater marsh soils makes them weaker, and perhaps lost if eroded or uplifted by buoyant forces during storms. These results are consistent with results from multi-year experiments demonstrating higher decomposition rates, greenhouse gas emissions, and carbon losses in wetlands following increased nutrient availability.","language":"English","publisher":"Springer","doi":"10.1007/s13157-020-01265-w","usgsCitation":"Turner, R.E., Swarzenski, C.M., and Bodker, J.E., 2020, Soil shear strength losses in two fresh marshes with variable increases in N and P loading: Wetlands, v. 40, p. 1189-1199, https://doi.org/10.1007/s13157-020-01265-w.","productDescription":"11 p.","startPage":"1189","endPage":"1199","ipdsId":"IP-102316","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":458022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-020-01265-w","text":"Publisher Index Page"},{"id":371899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.362060546875,\n              29.22889003019423\n            ],\n            [\n              -89.2529296875,\n              29.22889003019423\n            ],\n            [\n              -89.2529296875,\n              30.192618218499273\n            ],\n            [\n              -92.362060546875,\n              30.192618218499273\n            ],\n            [\n              -92.362060546875,\n              29.22889003019423\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Turner, R. Eugene","contributorId":172726,"corporation":false,"usgs":false,"family":"Turner","given":"R.","email":"","middleInitial":"Eugene","affiliations":[],"preferred":false,"id":781210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Christopher M. 0000-0001-9843-1471 cswarzen@usgs.gov","orcid":"https://orcid.org/0000-0001-9843-1471","contributorId":656,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Christopher","email":"cswarzen@usgs.gov","middleInitial":"M.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":781209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bodker, James E.","contributorId":152482,"corporation":false,"usgs":false,"family":"Bodker","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":13050,"text":"Department of Oceanography and Coastal Sciences, Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":781211,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227267,"text":"70227267 - 2020 - Pallid sturgeon seasonal habitat selection in a large free-flowing river, the lower Mississippi River","interactions":[],"lastModifiedDate":"2022-01-06T15:20:14.833724","indexId":"70227267","displayToPublicDate":"2020-01-23T09:11:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Pallid sturgeon seasonal habitat selection in a large free-flowing river, the lower Mississippi River","docAbstract":"<p><span>Pallid sturgeon&nbsp;</span><i>Scaphirhynchus albus</i><span>&nbsp;(Forbes &amp; Richardson, 1905, Bulletin of the Illinois State Laboratory of Natural History, 1905, 7, 37) are an endangered riverine sturgeon native to the Mississippi and Missouri rivers, and declining numbers have been attributed to multiple stressors, including habitat loss and alteration. The lower Mississippi River provides a useful context to assess pallid sturgeon habitat selection because, although altered for flood control and navigation, it provides a free-flowing system with a diversity of habitats and a minimally altered hydrograph. A discrete choice model of data collected year-round from two reaches for 3–5&nbsp;years revealed changes in habitat selection across water temperatures and river stages representative of seasonal variation in habitat for 116 telemetry-tagged pallid sturgeon. Natural bank, island tip, and secondary channel were positively selected and main channel, although frequently used, was avoided. The degree of selection varied among river stages, water temperatures, and reaches. Habitat selection appears to be strongly influenced by preference for locations with moderate depth (median 11.7&nbsp;m; lower and upper quartiles 8.1&nbsp;m and 16.3&nbsp;m) and moderate current velocity (median 0.9&nbsp;m/s; lower and upper quartiles 0.7&nbsp;m/s and 1.2&nbsp;m/s).</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jai.14000","usgsCitation":"Kroboth, P., Hann, D., Colvin, M.E., Hartfield, P.D., and Schramm, H.L., 2020, Pallid sturgeon seasonal habitat selection in a large free-flowing river, the lower Mississippi River: Journal of Applied Ichthyology, v. 36, no. 2, p. 131-141, https://doi.org/10.1111/jai.14000.","productDescription":"11 p.","startPage":"131","endPage":"141","ipdsId":"IP-107888","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":458041,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.14000","text":"Publisher Index Page"},{"id":437144,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P915GGE","text":"USGS data release","linkHelpText":"Pallid sturgeon seasonal habitat selection in a large free-flowing river, the lower Mississippi River, 2009-2015-Data"},{"id":393959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Louisiana, Mississippi","otherGeospatial":"lower Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.779296875,\n              29.22889003019423\n            ],\n            [\n              -86.66015624999999,\n              29.22889003019423\n            ],\n            [\n              -86.66015624999999,\n              36\n            ],\n            [\n              -93.779296875,\n              36\n            ],\n            [\n              -93.779296875,\n              29.22889003019423\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kroboth, P. T.","contributorId":270951,"corporation":false,"usgs":false,"family":"Kroboth","given":"P. T.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":830204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hann, D. A.","contributorId":270952,"corporation":false,"usgs":false,"family":"Hann","given":"D. A.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":830205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colvin, M. E.","contributorId":270953,"corporation":false,"usgs":false,"family":"Colvin","given":"M.","email":"","middleInitial":"E.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":830206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartfield, P. D.","contributorId":270954,"corporation":false,"usgs":false,"family":"Hartfield","given":"P.","email":"","middleInitial":"D.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":830207,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schramm, H. L. 0000-0002-0927-3414","orcid":"https://orcid.org/0000-0002-0927-3414","contributorId":270955,"corporation":false,"usgs":false,"family":"Schramm","given":"H.","email":"","middleInitial":"L.","affiliations":[{"id":54519,"text":"U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":830208,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208490,"text":"70208490 - 2020 - Effects of John Martin Reservoir on water quality and quantity: Assessment by chemical, isotopic, and mass-balance methods","interactions":[],"lastModifiedDate":"2020-02-12T06:49:45","indexId":"70208490","displayToPublicDate":"2020-01-23T06:45:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5836,"text":"Journal of Hydrology X","onlineIssn":"2589-9155","active":true,"publicationSubtype":{"id":10}},"title":"Effects of John Martin Reservoir on water quality and quantity: Assessment by chemical, isotopic, and mass-balance methods","docAbstract":"Water quality and quantity can be influenced by transit through and storage in reservoirs. Assessing such effects can be challenging, however, because of mixing and residence times, and inter-annual net storage and release from both the reservoir itself and surrounding porosity. Here, different methodologies were used to assess the effect of John Martin Reservoir (JMR), located on the Arkansas River, on water volumes and the problematic constituents salinity (total dissolved solids, TDS), selenium (Se), and uranium (U). Methodologies addressed short-term (16 months) and long-term (31 years) effects depending upon data availability. Evaporation was assessed by using isotopes of water to determine 12% short-term evaporation, and by pan evaporation and changes in storage to determine 11% long-term evaporation. Salinity, Se, and U mass balance were assessed by using chloride (Cl−) as an index by which to measure short-term gains or losses between inflows and outflows in the short term. Chloride gain from ungaged inflows skewed those results to overestimate retention. Continuous monitoring of discharge and specific conductance for inflows and outflows, along with discrete sampling for dissolved constituents were used to compute long-term, load-based mass balance. Mild gains of TDS (34,000 ± 15,000 Mg/yr) and U (0.1 ± 0.5 Mg/yr) in JMR were detected. Although the additions are small relative to uncertainty, they indicate little to no retention of TDS and U and likely additions from ungaged inflows. In contrast, an average of 0.6 ± 0.2 Mg/yr or 23% of gaged inflow Se was removed in JMR. The study illustrates the benefit of long-term records for assessing the influence of reservoirs for which net storage and release keep them from approaching steady-state conditions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.hydroa.2020.100051","usgsCitation":"Bern, C.R., Holmberg, M.J., and Kisfalusi, Z.D., 2020, Effects of John Martin Reservoir on water quality and quantity: Assessment by chemical, isotopic, and mass-balance methods: Journal of Hydrology X, v. 7, https://doi.org/10.1016/j.hydroa.2020.100051.","productDescription":"100051, 13 p.","startPage":"100051","ipdsId":"IP-105016","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":458045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hydroa.2020.100051","text":"Publisher Index Page"},{"id":372253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"John Martin Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.03218841552733,\n              38.048361431471385\n            ],\n            [\n              -102.92404174804688,\n              38.048361431471385\n            ],\n            [\n              -102.92404174804688,\n              38.08593231319764\n            ],\n            [\n              -103.03218841552733,\n              38.08593231319764\n            ],\n            [\n              -103.03218841552733,\n              38.048361431471385\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":201152,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmberg, Michael J. 0000-0002-1316-0412 mholmber@usgs.gov","orcid":"https://orcid.org/0000-0002-1316-0412","contributorId":190084,"corporation":false,"usgs":true,"family":"Holmberg","given":"Michael","email":"mholmber@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kisfalusi, Zachary D. 0000-0001-6016-3213","orcid":"https://orcid.org/0000-0001-6016-3213","contributorId":222422,"corporation":false,"usgs":true,"family":"Kisfalusi","given":"Zachary","email":"","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208343,"text":"70208343 - 2020 - Behavioral responses of sea lamprey to varying application rates of a synthesized pheromone in diverse trapping scenarios","interactions":[],"lastModifiedDate":"2020-05-05T16:48:30.017515","indexId":"70208343","displayToPublicDate":"2020-01-22T17:17:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2205,"text":"Journal of Chemical Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral responses of sea lamprey to varying application rates of a synthesized pheromone in diverse trapping scenarios","docAbstract":"<p><span>Use of the first fish pheromone biopesticide, 3-keto petromyzonol sulfate (3kPZS) in sea lamprey (</span><i>Petromyzon marinus</i><span>) control requires an understanding of both how the amount 3kPZS applied to a trap relates to catch, and how that relationship varies among stream types. By conducting 3kPZS dose-response experiments over two years and across six varied trapping contexts, we conclude (1) that 3kPZS application is best standardized by how much is emitted from the trap instead of the fully mixed concentration achieved downstream, and (2) that 3kPZS is more effective in wide streams (&gt;30&nbsp;m). In wide streams, emission of 3kPZS at 50&nbsp;mg&nbsp;hr.</span><sup>−1</sup><span>&nbsp;from the trap increased capture rate by 10–15% as sea lamprey were 25–50% more likely to enter the trap after encounter. However, in narrow streams (&lt; 15&nbsp;m), 50&nbsp;mg&nbsp;hr.</span><sup>−1</sup><span>&nbsp;3kPZS generally reduced probabilities of upstream movement, trap encounter, and entrance. While 3kPZS significantly influenced upstream movement, encounter, and capture probabilities, these behaviors were also highly influenced by water temperature, stream width, sea lamprey length, and sex. This study highlights that a pheromone component in a stream environment does not ubiquitously increase trap catch in all contexts, but that where, how, and when the pheromone is applied has major impacts on whether it benefits or hinders trapping efforts.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10886-020-01151-z","usgsCitation":"Johnson, N., Lewandoski, S.A., Alger, B., O’Connor, L.M., Bravener, G., Hrodey, P.J., Huerta, B., Barber, J., Li, W., Wagner, C., and Siefkes, M.J., 2020, Behavioral responses of sea lamprey to varying application rates of a synthesized pheromone in diverse trapping scenarios: Journal of Chemical Ecology, v. 46, p. 233-249, https://doi.org/10.1007/s10886-020-01151-z.","productDescription":"17 p.","startPage":"233","endPage":"249","ipdsId":"IP-114702","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":372107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":781506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewandoski, Sean A.","contributorId":221007,"corporation":false,"usgs":false,"family":"Lewandoski","given":"Sean","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":781507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alger, Bethany","contributorId":222209,"corporation":false,"usgs":false,"family":"Alger","given":"Bethany","email":"","affiliations":[{"id":40506,"text":"U.S. Geological Survey_seasonal","active":true,"usgs":false}],"preferred":false,"id":781508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Connor, Lisa M.","contributorId":173132,"corporation":false,"usgs":false,"family":"O’Connor","given":"Lisa","email":"","middleInitial":"M.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":781509,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bravener, Gale","contributorId":150995,"corporation":false,"usgs":false,"family":"Bravener","given":"Gale","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":781510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hrodey, Peter J.","contributorId":205578,"corporation":false,"usgs":false,"family":"Hrodey","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":6599,"text":"U.S. Fish and Wildlife Service, Marquette Biological Station","active":true,"usgs":false}],"preferred":false,"id":781516,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huerta, Belinda","contributorId":222210,"corporation":false,"usgs":false,"family":"Huerta","given":"Belinda","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":781511,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barber, Jessica","contributorId":173133,"corporation":false,"usgs":false,"family":"Barber","given":"Jessica","affiliations":[{"id":6584,"text":"United States Fish and Wildlife Service–Bozeman Fish Technology","active":true,"usgs":false}],"preferred":false,"id":781512,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":781513,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wagner, C. Michael","contributorId":83019,"corporation":false,"usgs":true,"family":"Wagner","given":"C. Michael","affiliations":[],"preferred":false,"id":781514,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Siefkes, Michael J","contributorId":150989,"corporation":false,"usgs":false,"family":"Siefkes","given":"Michael","email":"","middleInitial":"J","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":781515,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70208311,"text":"70208311 - 2020 - Evaluation of hydrologic impact of an irrigation curtailment program in the Upper Klamath Lake Basin using Landsat satellite data","interactions":[],"lastModifiedDate":"2020-05-05T16:44:59.832545","indexId":"70208311","displayToPublicDate":"2020-01-22T07:27:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of hydrologic impact of an irrigation curtailment program in the Upper Klamath Lake Basin using Landsat satellite data","docAbstract":"Upper Klamath Lake (UKL) is the source of the Klamath river that flows through southern Oregon and northern California. The UKL basin is home to two endangered species and provides water for 81,000+ ha (200,000+ acres) of irrigation on the United States Bureau of Reclamation (USBR) Klamath Project located downstream of the UKL basin. Irrigated agriculture also occurs along the tributaries to UKL. During 2013–2016, water right calls resulted in various levels of curtailment of irrigation diversions from the tributaries to UKL. However, information on the extent of curtailment, how much irrigation water was saved, and its impact on the UKL is unknown. In this study, we combined Landsat-based actual evapotranspiration (ETa) data obtained from the Operational Simplified Surface Energy Balance (SSEBop) model with gridded precipitation and USGS station discharge data to evaluate the hydrologic impact of the curtailment program. Analysis was performed for five base years (2004, 2006, 2008-2010) and four target years (2013-2016) over irrigated areas above UKL. Our results indicated that the impact of the curtailment program over the June to September time-period was highest during 2013 and declined in each of the following years. The total on-field water savings were approximately 60 hm3 in 2013 and 2014, 44 hm3 in 2015, and 32 hm3 in 2016. The instream water flow change or extra water available (EWA) were found at 92, 68, 45, and 26 hm3 respectively for 2013, 2014, 2015 and 2016. Most water savings came from pasture and wetlands. Alfalfa showed the most decline in water use among grain crops. The resulting EWA from the curtailment contributed to a maximum of 19% of the lake inflows and 50% of the lake volume. This study presents the use of Landsat-based ETa and other remote sensing datasets for evaluating water-related impacts of the irrigation curtailment program.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13708","usgsCitation":"Velpuri, N., Senay, G., Schauer, M., Garcia, C.A., Singh, R., Friedrichs, M., Bohms, S., Haynes, J.V., and Conlon, T.D., 2020, Evaluation of hydrologic impact of an irrigation curtailment program in the Upper Klamath Lake Basin using Landsat satellite data: Hydrological Processes, v. 34, no. 8, p. 1697-1713, https://doi.org/10.1002/hyp.13708.","productDescription":"17 p.","startPage":"1697","endPage":"1713","ipdsId":"IP-111134","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":458053,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13708","text":"Publisher Index Page"},{"id":437147,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BC38CL","text":"USGS data release","linkHelpText":"Assessing the impact of irrigation curtailment using Landsat satellite data: A case study in the Upper Klamath Lake basin"},{"id":371987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"California, Oregon","otherGeospatial":"Upper Klamath Lake Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.42041015624999,\n              40.76806170936614\n            ],\n            [\n              -119.94323730468749,\n              40.76806170936614\n            ],\n            [\n              -119.94323730468749,\n              43.205175817237304\n            ],\n            [\n              -123.42041015624999,\n              43.205175817237304\n            ],\n            [\n              -123.42041015624999,\n              40.76806170936614\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Velpuri, Naga Manohar  0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":216911,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga Manohar ","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":781360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":216910,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":781361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schauer, Matthew 0000-0002-4198-3379","orcid":"https://orcid.org/0000-0002-4198-3379","contributorId":216909,"corporation":false,"usgs":true,"family":"Schauer","given":"Matthew","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":781362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Singh, Ramesh  0000-0002-8164-3483","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":216912,"corporation":false,"usgs":false,"family":"Singh","given":"Ramesh ","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":781364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friedrichs, MacKenzie 0000-0002-9602-321X","orcid":"https://orcid.org/0000-0002-9602-321X","contributorId":216914,"corporation":false,"usgs":true,"family":"Friedrichs","given":"MacKenzie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":781365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bohms, Stefanie 0000-0002-2979-4655 sbohms@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":3148,"corporation":false,"usgs":true,"family":"Bohms","given":"Stefanie","email":"sbohms@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":781359,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haynes, Jonathan V. 0000-0001-6530-6252 jhaynes@usgs.gov","orcid":"https://orcid.org/0000-0001-6530-6252","contributorId":3113,"corporation":false,"usgs":true,"family":"Haynes","given":"Jonathan","email":"jhaynes@usgs.gov","middleInitial":"V.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781366,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Conlon, Terrence D. 0000-0002-5899-7187 tdconlon@usgs.gov","orcid":"https://orcid.org/0000-0002-5899-7187","contributorId":819,"corporation":false,"usgs":true,"family":"Conlon","given":"Terrence","email":"tdconlon@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781367,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70208009,"text":"70208009 - 2020 - Advanced biofilm analysis in streams receiving organic deicer runoff","interactions":[],"lastModifiedDate":"2020-01-24T06:36:46","indexId":"70208009","displayToPublicDate":"2020-01-22T06:34:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Advanced biofilm analysis in streams receiving organic deicer runoff","docAbstract":"Prolific heterotrophic biofilm growth is a common occurrence in airport receiving streams containing deicers and anti-icers, which are composed of low-molecular weight organic compounds. This study investigated biofilm spatiotemporal patterns and responses to concurrent and antecedent (i.e., preceding biofilm sampling) environmental conditions at stream sites upstream and downstream from Milwaukee Mitchell International Airport in Milwaukee, Wisconsin, during two deicing seasons (2009–2010; 2010–2011). Biofilm abundance and community composition were investigated along spatial and temporal gradients using field surveys and microarray analyses, respectively. Given the recognized role of Sphaerotilus in organically enriched environments, additional analyses were pursued to specifically characterize its abundance: a consensus sthA sequence was determined via comparison of whole metagenome sequences with a previously identified sthA sequence, the primers developed for this gene were used to characterize relative Sphaerotilus abundance using quantitative real-time PCR, and a Sphaerotilus strain was isolated to validate the determined sthA sequence. Results indicated that biofilm abundance was stimulated by elevated antecedent chemical oxygen demand concentrations, a surrogate for deicer concentrations, with minimal biofilm volumes observed when antecedent chemical oxygen demand concentrations remained below 48 mg/L. Biofilms were composed of diverse communities (including sheathed bacterium Thiothrix) whose composition appeared to shift in relation to antecedent temperature and chemical oxygen demand. The relative abundance of sthA correlated most strongly with heterotrophic biofilm volume (positive) and dissolved oxygen (negative), indicating that Sphaerotilus was likely a consistent biofilm member and thrived under low oxygen conditions. Additional investigations identified the isolate as a new strain of Sphaerotilus montanus (strain KMKE) able to use deicer components as carbon sources and found that stream dissolved oxygen concentrations related inversely to biofilm volume as well as to antecedent temperature and chemical oxygen demand. The airport setting provides insight into potential consequences of widescale adoption of organic deicers for roadway deicing.","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0227567","usgsCitation":"Nott, M., Driscoll, H.E., Takeda, M., Vangala, M., Corsi, S., and Tighe, S.W., 2020, Advanced biofilm analysis in streams receiving organic deicer runoff: PLoS ONE, v. 15, no. 1, 27 p., https://doi.org/10.1371/journal.pone.0227567.","productDescription":"27 p.","ipdsId":"IP-082482","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":458058,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0227567","text":"Publisher Index Page"},{"id":371510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin ","city":"Milwaukee","otherGeospatial":"Mitchell International Airport","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.93319702148438,\n              42.91670930118165\n            ],\n            [\n              -87.86212921142578,\n              42.91670930118165\n            ],\n            [\n              -87.86212921142578,\n              42.97325518954874\n            ],\n            [\n              -87.93319702148438,\n              42.97325518954874\n            ],\n            [\n              -87.93319702148438,\n              42.91670930118165\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Nott, Michelle A","contributorId":221760,"corporation":false,"usgs":true,"family":"Nott","given":"Michelle A","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Driscoll, Heather E. 0000-0002-3772-9933","orcid":"https://orcid.org/0000-0002-3772-9933","contributorId":221761,"corporation":false,"usgs":false,"family":"Driscoll","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":40420,"text":"Vermont Genetics Network, Department of Biology, Norwich University, Northfield, Vermont 05663 United States","active":true,"usgs":false}],"preferred":false,"id":780137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takeda, Minoru 0000-0003-0554-3306","orcid":"https://orcid.org/0000-0003-0554-3306","contributorId":221762,"corporation":false,"usgs":false,"family":"Takeda","given":"Minoru","email":"","affiliations":[{"id":40421,"text":"Graduate School of Engineering, Yokohama National University, 79-5 Tokiwadai, Hodogaya, Yokohama 240-8501, Japan","active":true,"usgs":false}],"preferred":false,"id":780138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vangala, Mahesh 0000-0002-7761-7514","orcid":"https://orcid.org/0000-0002-7761-7514","contributorId":221763,"corporation":false,"usgs":false,"family":"Vangala","given":"Mahesh","email":"","affiliations":[{"id":40422,"text":"Data Sciences and Technology, University of Massachusetts Medical School, Worcester, Massachusetts 01655 United States","active":true,"usgs":false}],"preferred":false,"id":780139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corsi, Steven","contributorId":221764,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tighe, Scott W. 0000-0002-3988-0741","orcid":"https://orcid.org/0000-0002-3988-0741","contributorId":221765,"corporation":false,"usgs":false,"family":"Tighe","given":"Scott","email":"","middleInitial":"W.","affiliations":[{"id":40423,"text":"Advanced Genome Technologies Core, University of Vermont, Burlington, Vermont 05405 United States","active":true,"usgs":false}],"preferred":false,"id":780141,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70209562,"text":"70209562 - 2020 - An experimental investigation of interaction between andesite and hyperacidic volcanic lake water","interactions":[],"lastModifiedDate":"2020-04-14T11:42:10.464524","indexId":"70209562","displayToPublicDate":"2020-01-22T06:31:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"An experimental investigation of interaction between andesite and hyperacidic volcanic lake water","docAbstract":"Alteration in magmatic-hydrothermal systems leads to distinct changes in rock texture and mineralogy, and a strong redistribution of elements between fluid and rock. Here, we experimentally interacted andesite scoria with hyperacidic, high-sulfidation style fluids from Kawah Ijen volcano (Indonesia) at 25 and 100˚C, seeking to reproduce the textures observed in natural samples from this volcano, and to understand the element fluxes that accompany alteration. The susceptibility to alteration in the experiments is Cu-Fe-sulphide > calcic plagioclase > pyroxene > titano-magnetite > sodic plagioclase, with complete preservation of glass. Silicate minerals alter to opaline silica, and gypsum, barite and a Zr-phase precipitate. The selective alteration of the phenocryst minerals results in a preferential release of compatible elements, as the glass is the main incompatible element host. The experiments reproduce the alteration textures of the natural samples, including the preservation of glass, but the predicted compatible over incompatible element enrichment in the alteration element flux is not observed in the natural setting. This suggests that alteration at Kawah Ijen is dominated by lithologies that lack abundant glass, in particular lava flows where the glass has devitrified, despite these lava flows having a lower surface area compared to scoria.","language":"English","publisher":"MDPI","doi":"10.3390/min10020096","collaboration":"","usgsCitation":"van Hinsberg, V., Berlo, K., and Lowenstern, J.B., 2020, An experimental investigation of interaction between andesite and hyperacidic volcanic lake water: Minerals, v. 10, no. 2, https://doi.org/10.3390/min10020096.","productDescription":"96, 26 p.","startPage":"","ipdsId":"IP-114208","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":458062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min10020096","text":"Publisher Index Page"},{"id":373941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia ","otherGeospatial":"Kawah Ijen","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              113.15917968749999,\n              -9.00445156167208\n            ],\n            [\n              114.697265625,\n              -9.00445156167208\n            ],\n            [\n              114.697265625,\n              -7.438730529686968\n            ],\n            [\n              113.15917968749999,\n              -7.438730529686968\n            ],\n            [\n              113.15917968749999,\n              -9.00445156167208\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"van Hinsberg, Vincent ","contributorId":224054,"corporation":false,"usgs":false,"family":"van Hinsberg","given":"Vincent ","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":786891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berlo, Kim","contributorId":224055,"corporation":false,"usgs":false,"family":"Berlo","given":"Kim","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":786892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":786893,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70217216,"text":"70217216 - 2020 - Recent evaluation of corbicula form D distribution in the Midwest, U.S.A","interactions":[],"lastModifiedDate":"2021-01-25T17:00:24.295695","indexId":"70217216","displayToPublicDate":"2020-01-21T10:56:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5153,"text":"The American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Recent evaluation of corbicula form D distribution in the Midwest, U.S.A","docAbstract":"<p><span>The genus&nbsp;</span><i>Corbicula</i><span>&nbsp;contains one of the most common and successful aquatic invasive species to North America. Prior to 2015 two predominant species of&nbsp;</span><i>Corbicula</i><span>&nbsp;were known from the United States—</span><i>C. fluminea</i><span>&nbsp;and&nbsp;</span><i>C. largillierti</i><span>, referred to as Forms A and B, respectively. Form A has spread throughout most of the U.S., while Form B is mainly contained in the Midwest and southern U.S. In 2015 a novel&nbsp;</span><i>Corbicula</i><span>, known as Form D, was discovered in the Illinois River, at Marseilles, Illinois, and was later reported from the Ohio River. Our primary objective for this study was to report additional records of Form D, with a focus on the upper Illinois River watershed. Surveys during summer 2017 verified the presence of Form D in the Tennessee and Mississippi rivers, as well as multiple new locations in the Des Plaines and Illinois rivers, where all three&nbsp;</span><i>Corbicula</i><span>&nbsp;forms co-exist.</span></p>","language":"English","publisher":"BioOne","doi":"10.1637/19-034","usgsCitation":"Douglass, S., Reasor, E., Tiemann, J., Stodola, A., McMurray, S.E., and Poulton, B.C., 2020, Recent evaluation of corbicula form D distribution in the Midwest, U.S.A: The American Midland Naturalist, v. 183, no. 1, p. 136-142, https://doi.org/10.1637/19-034.","productDescription":"7 p.","startPage":"136","endPage":"142","ipdsId":"IP-108298","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":382108,"type":{"id":15,"text":"Index Page"},"url":"https://bioone.org/journals/the-american-midland-naturalist/volume-183/issue-1/19-034/Recent-Evaluation-of-Corbicula-Form-D-Distribution-in-the-Midwest/10.1637/19-034.full"},{"id":382556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, kentucky, Missouri, Ohio, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.5048828125,\n              35.94243575255426\n            ],\n            [\n              -82.15576171875,\n              35.94243575255426\n            ],\n            [\n              -82.15576171875,\n              42.032974332441405\n            ],\n            [\n              -92.5048828125,\n              42.032974332441405\n            ],\n            [\n              -92.5048828125,\n              35.94243575255426\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"183","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Douglass, Sarah","contributorId":247623,"corporation":false,"usgs":false,"family":"Douglass","given":"Sarah","email":"","affiliations":[{"id":24804,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":808052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reasor, Emily","contributorId":247626,"corporation":false,"usgs":false,"family":"Reasor","given":"Emily","email":"","affiliations":[{"id":49602,"text":"Virginia Tech Shorebird Program, Department of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":808053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tiemann, Jeremy S.","contributorId":229785,"corporation":false,"usgs":false,"family":"Tiemann","given":"Jeremy S.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":808054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stodola, Alison","contributorId":247627,"corporation":false,"usgs":false,"family":"Stodola","given":"Alison","email":"","affiliations":[{"id":24804,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":808055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMurray, Stephen E.","contributorId":206918,"corporation":false,"usgs":false,"family":"McMurray","given":"Stephen","email":"","middleInitial":"E.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":808056,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":808057,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70209282,"text":"70209282 - 2020 - Antimony mobility during the early stages of stibnite weathering in tailings at the Beaver Brook Sb deposit, Newfoundland","interactions":[],"lastModifiedDate":"2020-03-27T07:26:19","indexId":"70209282","displayToPublicDate":"2020-01-21T07:23:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Antimony mobility during the early stages of stibnite weathering in tailings at the Beaver Brook Sb deposit, Newfoundland","docAbstract":"The aqueous speciation and mineralogy of antimony (Sb) in waters and tailings at Beaver Brook antimony deposit have been analyzed to understand Sb mobility during the initial stages of stibnite (Sb2S3) weathering in a near-surface environment. Dissolution of stibnite in oxidizing conditions releases Sb in drainage water and Sb is incorporated into the mineral structures of several secondary minerals. The most abundant Sb host in Beaver Brook tailings is primary stibnite, which dissolves, releasing Sb(III) to the pore water which rapidly oxidizes to Sb¬(V). The maximum concentration of Sb in tailings pore water is 26.4 mg/L and only 0.9% is in form of Sb(III). In all surface water, Sb concentration ranges from 0.01 to 26.1 mg/L (average 9.4 mg/L) and is mostly present in its Sb(V) (98.9 to 99.2 % of total Sb). The secondary minerals containing Sb formed in tailings impoundment, include tripuhyite-like Sb-Fe oxides (FeSbO4) where Sb is an important part of their structure with variable Fe/Sb ratios and Sb concentrations of up to 37.8% by weight (average of 21.7%). These are important Sb host phases in the top 30 cm of tailings. Iron oxides enriched in Sb, such as goethite (FeOOH), where Sb (average of 3.9% by weight) is adsorbed or incorporated in the structure are common but represent less than 1.3 % of the total mass of Sb. The elevated Mg concentrations in tailing ponds and pore water promote the precipitation of brandholzite (Mg[Sb(OH)6]2·6H2O) (in association with gypsum) during dry periods, which is easily dissolved during rainy periods. Brandholzite dissolution may significantly contribute to the concentration of dissolved Sb, together with stibnite dissolution, whereas Sb-Fe oxides are stable in the neutral pH, oxidized surface environment. Arsenic (As) accompanies Sb in all media but its behaviour differs from that of Sb. The source of As is arsenopyrite, which decomposes more slowly than stibnite. This may be due to the formation of oxidation rims on arsenopyrite grains composed of Fe, As, S, Sb and Ca which slow the dissolution, whereas no rims are seen on stibnite. Also, despite similar As and Sb concentration in bulk tailings, the concentration of Sb in drainage water is higher than that of As. In pore water, As(III) is the dominant oxidation state of As suggesting that the oxidation of dissolved As is slower than that of Sb.","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2020.104528","usgsCitation":"Radkova, A.B., Jamieson, H.E., and Campbell, K.M., 2020, Antimony mobility during the early stages of stibnite weathering in tailings at the Beaver Brook Sb deposit, Newfoundland: Applied Geochemistry, v. 115, 104528, 12 p., https://doi.org/10.1016/j.apgeochem.2020.104528.","productDescription":"104528, 12 p.","ipdsId":"IP-114140","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":458070,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2020.104528","text":"Publisher Index Page"},{"id":373564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Newfoundland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -60.1171875,\n              46.98025235521883\n            ],\n            [\n              -51.328125,\n              46.01222384063236\n            ],\n            [\n              -49.04296875,\n              49.1242192485914\n            ],\n            [\n              -56.1181640625,\n              53.09402405506325\n            ],\n            [\n              -62.97363281249999,\n              49.55372551347579\n            ],\n            [\n              -60.1171875,\n              46.98025235521883\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"115","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Radkova, Anezka Borcinova","contributorId":223648,"corporation":false,"usgs":false,"family":"Radkova","given":"Anezka","email":"","middleInitial":"Borcinova","affiliations":[{"id":40753,"text":"Queen's University","active":true,"usgs":false}],"preferred":false,"id":785754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jamieson, Heather E.","contributorId":150176,"corporation":false,"usgs":false,"family":"Jamieson","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":7029,"text":"Queen's University, Kingston, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":785755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":785753,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208905,"text":"70208905 - 2020 - Dunes in the world's big rivers are characterized by low-angle lee-side slopes and a complex shape","interactions":[],"lastModifiedDate":"2020-03-04T15:48:45","indexId":"70208905","displayToPublicDate":"2020-01-20T15:45:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Dunes in the world's big rivers are characterized by low-angle lee-side slopes and a complex shape","docAbstract":"Dunes form critical agents of bedload transport in all of the world’s big rivers, and constitute appreciable sources of bed roughness and flow resistance. Dunes also generate stratification that is the most common depositional feature of ancient riverine sediments. However, current models of dune dynamics and stratification are conditioned by bedform geometries observed in small rivers and laboratory experiments. For these dunes, the downstream lee-side is often assumed to be simple in shape and sloping at the angle of repose. Here we show, using a unique compilation of high-resolution bathymetry from a range of large rivers, that dunes are instead characterized predominantly by low-angle lee-side slopes (<10°), complex lee-side shapes with the steepest portion near the base of the lee-side slope and a height that is often only 10% of the local flow depth. This radically different shape of river dunes demands that such geometries are incorporated into predictions of flow resistance, water levels and flood risk and calls for rethinking of dune scaling relationships when reconstructing palaeoflow depths and a fundamental reappraisal of the character, and origin, of low-angle cross-stratification within interpretations of ancient alluvial sediments.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41561-019-0511-7","usgsCitation":"Cisneros, J., Best, J.L., van Dijk, T., de Almeida, R.P., Amsler, M., Boldt, J.A., Freitas, B., Galeazzi, C., Huizinga, R.J., Ianniruberto, M., Ma, H., Nittrouer, J., Oberg, K., Orfeo, O., Parsons, D., Szupiany, R.N., Wang, P., and Zhang, Y., 2020, Dunes in the world's big rivers are characterized by low-angle lee-side slopes and a complex shape: Nature Geoscience, v. 13, no. 2, p. 156-162, https://doi.org/10.1038/s41561-019-0511-7.","productDescription":"7 p.","startPage":"156","endPage":"162","ipdsId":"IP-114604","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":467304,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/s41561-019-0511-7","text":"External Repository"},{"id":372925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Cisneros, Julia 0000-0001-6451-4180","orcid":"https://orcid.org/0000-0001-6451-4180","contributorId":223037,"corporation":false,"usgs":false,"family":"Cisneros","given":"Julia","email":"","affiliations":[{"id":40647,"text":"Department of Geology, University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":783906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Best, Jim L.","contributorId":147995,"corporation":false,"usgs":false,"family":"Best","given":"Jim","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":783907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Dijk, Thaienne 0000-0003-1702-1142","orcid":"https://orcid.org/0000-0003-1702-1142","contributorId":223038,"corporation":false,"usgs":false,"family":"van Dijk","given":"Thaienne","email":"","affiliations":[{"id":40648,"text":"Department of Applied Geology and Geophysics, Deltares, Utrecht, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":783908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Almeida, Renato Paes","contributorId":223039,"corporation":false,"usgs":false,"family":"de Almeida","given":"Renato","email":"","middleInitial":"Paes","affiliations":[{"id":40649,"text":"Instituto de Geociencias, Universidade de Sao Paulo, Brazil","active":true,"usgs":false}],"preferred":false,"id":783909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amsler, Mario","contributorId":223040,"corporation":false,"usgs":false,"family":"Amsler","given":"Mario","email":"","affiliations":[{"id":40650,"text":"Instituto Nacional de Limnologia, Santa Fe, Argentina","active":true,"usgs":false}],"preferred":false,"id":783910,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boldt, Justin A. 0000-0002-0771-3658","orcid":"https://orcid.org/0000-0002-0771-3658","contributorId":207849,"corporation":false,"usgs":true,"family":"Boldt","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - 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,{"id":70211223,"text":"70211223 - 2020 - Influence of land use and region on glyphosate and aminomethylphosphonic acid in streams in the USA","interactions":[],"lastModifiedDate":"2020-07-21T14:24:53.630793","indexId":"70211223","displayToPublicDate":"2020-01-20T13:13:06","publicationYear":"2020","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":"Influence of land use and region on glyphosate and aminomethylphosphonic acid in streams in the USA","docAbstract":"<p><span>Glyphosate is the most widely used herbicide in the United States for agricultural and non-agricultural weed control. Many studies demonstrate possible effects of glyphosate and its degradate AMPA on human and ecological health. Although glyphosate is thought to have limited mobility in soil, it is found year-round in many rivers and streams throughout the world in both agricultural and developed environments. It is vitally important to continue to increase the knowledge base of glyphosate use, distribution, transport, and impacts on human health and the environment. Here we show that glyphosate and AMPA are found in nearly all of 70 streams throughout the United States at concentrations far below human health or ecological benchmarks, with less occurrence in the Northeast and that undeveloped land, classified as such by land use near the sampling station, has lower concentrations compared to other types of land. Results also show that sites with large watersheds tend to have more AMPA than glyphosate and the opposite is true for small watersheds. Travel times and opportunity for glyphosate to degrade to AMPA and for reservoirs of AMPA to grow are greater in large watersheds. Factors that promoted quick movement of glyphosate to streams, such as subsurface tile or storm drains, sewers, overland flow from developed landscapes, and arid landscapes were associated with sites that had greater concentrations of glyphosate compared to AMPA. These results contribute contemporary information and generalized interpretations adding to the knowledge base of the fate of glyphosate on a national scale and provide a springboard for further exploration of technical processes controlling transport to streams.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.136008","usgsCitation":"Medalie, L., Baker, N.T., Shoda, M.E., Stone, W.W., Meyer, M., Stets, E.G., and Wilson, M.C., 2020, Influence of land use and region on glyphosate and aminomethylphosphonic acid in streams in the USA: Science of the Total Environment, v. 707, Report: 136008, 9 p.; Data Release, https://doi.org/10.1016/j.scitotenv.2019.136008.","productDescription":"Report: 136008, 9 p.; Data Release","ipdsId":"IP-102873","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":458076,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index 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