{"pageNumber":"299","pageRowStart":"7450","pageSize":"25","recordCount":68835,"records":[{"id":70202880,"text":"70202880 - 2019 - Sources, timing, and fate of sediment and contaminants in the nearshore: insights from geochemistry","interactions":[],"lastModifiedDate":"2019-04-10T09:17:17","indexId":"70202880","displayToPublicDate":"2019-03-31T09:16:17","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Sources, timing, and fate of sediment and contaminants in the nearshore: insights from geochemistry","docAbstract":"Rivers in Cascade watersheds carry sediment with a volcanic composition that is distinct from the plutonic composition of the Puget lowlands. Compositional properties (signatures) allow discrimination of river-sourced Cascade from lowland sediment, and inferences about transport pathways. Surface sediment on land contains atmospheric radionuclides whose known decay rates define monthly (7Be) and decadal (210Pb) timescales of sediment inputs from land to nearshore regions. We used geochemical signatures to source river-borne sediment in two urban embayments in Cascade watersheds: Commencement Bay (CB) and Bellingham Bay (BB). We concurrently determined sediment contaminant levels and, in CB, used geochemical aging to distinguish contaminants in recent winter outflow from those that were pre-existing. Methods are described in Takesue et al. (2017). Geochemical signatures showed that Puyallup River (PU)-sourced fine sediment (<63 µm) accumulated more along the northeast (NE) shore of CB than the southwest: median 91% and 69%, respectively. River-sourced sediment from recent winter storms, containing higher 7Be activities (open circles, Fig. 1A), also accumulated on the NE shore and had lower contents of PAHs, fecal sterols, PCBs, and potentially toxic metals (TM) compared to the south shore; only PBDEs were higher (column graphs, Fig. 1A). Lower 7Be and 210Pb activities in south shore sediment indicated that contaminants there were associated with older sediment. Existing sediment in CB contained higher levels of urban contaminants than new PU material. No PAH, PCB, or TM levels in CB exceeded Washington State marine sediment quality standards (WAMSQS). Geochemical signatures were not distinct in the Nooksack River watershed and lowlands, precluding sediment sourcing in BB. PAH ratios in BB sediments were ubiquitous (open circles, Fig. 1B), suggesting atmospheric rather than riverine transport, and had values indicating biomass/coal combustion sources, except for three sites along the urban waterfront that had values indicative of vehicle emissions (closed circles, Fig. 1B). Elevated TM occurred offshore of Fairhaven (cadmium, Cd; copper, Cu; lead, Pb; zinc, Zn), Whatcom Creek Waterway (Pb, Zn), and the marina (Cu, Zn). No PAH or TM concentrations in BB exceeded WAMSQS. Insights gained from sediment geochemistry about the sources, timing, transport, and fate of riverborne fine sediment and contaminants in nearshore regions are valuable components of monitoring programs that can help guide habitat restoration and resource management decisions toward effective and sustainable outcomes.","largerWorkTitle":"2018 Salish Sea Toxics Monitoring Synthesis: A Selection of Research","conferenceTitle":"2018 Salish Sea Ecosystem Conference","conferenceDate":"April 3-6, 2018","conferenceLocation":"Seattle, Washington","language":"English","publisher":"Puget Sound Ecosystem Monitoring Program","usgsCitation":"Takesue, R.K., Conn, K., and Dutch, M., 2019, Sources, timing, and fate of sediment and contaminants in the nearshore: insights from geochemistry, <i>in</i> 2018 Salish Sea Toxics Monitoring Synthesis: A Selection of Research, Seattle, Washington, April 3-6, 2018, p. 62-62.","productDescription":"1 p.","startPage":"62","endPage":"62","ipdsId":"IP-099363","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":362876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362653,"type":{"id":15,"text":"Index Page"},"url":"https://www.eopugetsound.org/articles/2018-salish-sea-toxics-monitoring-synthesis"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.71393775939941,\n              47.06579564376744\n            ],\n            [\n              -122.67788887023924,\n              47.06579564376744\n            ],\n            [\n              -122.67788887023924,\n              47.09694798930915\n            ],\n            [\n              -122.71393775939941,\n              47.09694798930915\n            ],\n            [\n              -122.71393775939941,\n              47.06579564376744\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":760370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conn, Kathleen E. 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":3923,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen E.","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dutch, Margaret","contributorId":214606,"corporation":false,"usgs":false,"family":"Dutch","given":"Margaret","email":"","affiliations":[{"id":25353,"text":"Washington State Department of Ecology","active":true,"usgs":false}],"preferred":false,"id":760372,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211832,"text":"70211832 - 2019 - Pallid sturgeon basin-wide contaminants assessment","interactions":[],"lastModifiedDate":"2020-08-11T13:05:54.353761","indexId":"70211832","displayToPublicDate":"2019-03-31T08:49:17","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Pallid sturgeon basin-wide contaminants assessment","docAbstract":"<p>Pallid sturgeon (Scaphirhynchus albus), listed as endangered in 1990 under the federal Endangered Species Act (United States Fish and Wildlife Service (USFWS), 1990), have declined due to habitat loss, commercial fishing, and hybridization. Pollution in the Missouri and Mississippi Rivers has to-date only received minor attention as a factor in the on-going decline of wild pallid sturgeon populations (Jacobson et al. 2016a; Bergman 2008). Pallid sturgeon experts and contaminant specialists conceived of the Pallid Sturgeon Basin-Wide Contaminants Assessment (Assessment) to identify potentially harmful contaminants (contaminants of concern), their distribution within pallid sturgeon habitat, and their effects on pallid sturgeon at the landscape level. Extant water quality and analytical chemistry data from samples of river water, sediment, and sturgeon tissues from past studies, assessments, or monitoring activities throughout the species’ range were used to establish a list of contaminants. The list includes: metal and non-metal elements, pesticides, organic industrial chemicals, hormones, nutrients, and other potential water quality contaminants. Environmental samples collected from January 1, 2001 through December 31, 2014, when available, were used for all evaluations. </p><p>This report is effectively a screening level hazard assessment whereby contituents of concern that may pose a potential harm to pallid sturgeon have been identified. These constituents of concern warrant further examination to determine the level of risk they pose to pallid sturgeon. The Assessment process was one of comparing the existing environmental data for individual constituents to reference values for adverse effects on fish specifically or aquatic life generally. The product of the Assessment is a simplified summary that is geographically organized by pallid sturgeon management unit that generally categorizes each individual contaminant or water quality constituent according to operationally defined levels of concern. This hazard assessment identifies potential constituents of concern to pallid sturgeon and may support prioritization for future data collection and research to enable a quantitative risk assessment. </p><p>Regional data density at spatial and temporal scales notwithstanding, the Assessment points to some generalities in contaminant concerns within and across management units. Metals but not pesticides are the predominant contaminant of concern in the Great Plains Management Unit (GPMU). In the Central Lowlands Management Unit (CLMU), selenium exceeds benchmark levels. Triazine herbicides are potentially of concern in all but the GPMU. Concentrations of legacy contaminants such as PCBs and DDT and its metabolites exceeded benchmarks in samples from the CLMU, Interior Highlands Mangement Unit (IHMU), and Coastal Plains Management Unit (CPMU), but local and national trends indicate environmental levels of these contaminants continue to decline. Observed concentrations of nutrients and indicators of nutrient pollution were above benchmark levels throughout the pallid sturgeon’s range; however, the significance for pallid sturgeon health specifically is unknown. Almost no information exists on contemporary contaminants of concern such as the natural and synthetic estrogens (estradiol, ethinyl estradiol, and estrone) or polybrominated diphenyls (PBDEs).</p><p>There are considerable informational data gaps for contaminants throughout the species’ range. Water quality measurements were the most frequent data encountered whereas, sediment and tissue data were orders of magnitude less frequent. The paucity of sediment and tissue concentrations, particularly the latter, prevents any meaningful conclusions regarding adverse effects of these contaminants on the growth and reproduction of pallid sturgeon. However, the Assessment could form the basis for regional workshops with subject matter specialists to develop plans to evaluate the contaminants most likely to affect pallid sturgeon health.</p>","language":"English","publisher":"The Pallid Sturgeon Recovery Program","collaboration":"U.S. Fish and Wildlife Service; Missouri Department of Conservation","usgsCitation":"Webb, M.A., Papoulias, D., Rouse, D., Alexander, S., Annis, M., Coffey, M., Johnson, K., Kenney, A., McKee, M., Mena, L., Nelson, K., and Schwarz, M., 2019, Pallid sturgeon basin-wide contaminants assessment, 105 p.","productDescription":"105 p.","ipdsId":"IP-086535","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":377270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":377190,"type":{"id":15,"text":"Index 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,{"id":70234300,"text":"70234300 - 2019 - Understanding the central Great Plains as a coupled climatic-hydrological-human system: Lessons learned in operationalizing interdisciplinary collaboration","interactions":[],"lastModifiedDate":"2022-08-08T13:21:37.152162","indexId":"70234300","displayToPublicDate":"2019-03-31T08:15:30","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Understanding the central Great Plains as a coupled climatic-hydrological-human system: Lessons learned in operationalizing interdisciplinary collaboration","docAbstract":"<p><span>This chapter discusses an interdisciplinary and transdisciplinary project to understand the interactions of agriculture, climate, and water resources in the Central Great Plains as a coupled natural-human system. We focus on the Smoky Hills Watershed in Kansas, where we gathered socioeconomic, hydrological, and climatic data, along with ecological data on fish species. The project involved substantial stakeholder engagement, which was complicated by post-truth attitudes about climate science and environmental regulation by some groups. We discuss the challenges of team management, stakeholder engagement, and data integration for modeling, notably the incorporation of stakeholder support for environmental policy in the context of extreme climatic events. We conclude by offering a framework for good collaborative practice to manage the complications of crossing boundaries in transdisciplinary research and outreach.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Collaboration across boundaries for social-ecological systems science","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-13827-1_8","usgsCitation":"Caldas, M.M., Mather, M.E., Bergtold, J.S., Daniels, M., Granco, G., Aistrup, J., Haukos, D.A., Sheshukov, A.Y., Sanderson, M.R., and Heier Stamm, J.L., 2019, Understanding the central Great Plains as a coupled climatic-hydrological-human system: Lessons learned in operationalizing interdisciplinary collaboration, chap. <i>of</i> Collaboration across boundaries for social-ecological systems science, p. 265-294, https://doi.org/10.1007/978-3-030-13827-1_8.","productDescription":"30 p.","startPage":"265","endPage":"294","ipdsId":"IP-102166","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":404915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Smoky Hills Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.942138671875,\n              38.35888785866677\n            ],\n            [\n              -97.261962890625,\n              38.35888785866677\n            ],\n            [\n              -97.261962890625,\n              39.67337039176558\n            ],\n            [\n              -101.942138671875,\n              39.67337039176558\n            ],\n            [\n          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S.","contributorId":200846,"corporation":false,"usgs":false,"family":"Bergtold","given":"Jason","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":848495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daniels, Melinda","contributorId":294671,"corporation":false,"usgs":false,"family":"Daniels","given":"Melinda","affiliations":[],"preferred":false,"id":848496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Granco, Gabriel","contributorId":242802,"corporation":false,"usgs":false,"family":"Granco","given":"Gabriel","affiliations":[{"id":48532,"text":"swrc","active":true,"usgs":false}],"preferred":false,"id":848497,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aistrup, Joseph","contributorId":200847,"corporation":false,"usgs":false,"family":"Aistrup","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":848498,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":848492,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sheshukov, Aleksey Y.","contributorId":172092,"corporation":false,"usgs":false,"family":"Sheshukov","given":"Aleksey","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":848499,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sanderson, Matthew R.","contributorId":200845,"corporation":false,"usgs":false,"family":"Sanderson","given":"Matthew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":848500,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Heier Stamm, Jessica L.","contributorId":200848,"corporation":false,"usgs":false,"family":"Heier Stamm","given":"Jessica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":848501,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70203550,"text":"70203550 - 2019 - Comparison of groundwater age models for assessing nitrate loading, transport pathways, and management options in a complex aquifer system","interactions":[],"lastModifiedDate":"2019-11-14T13:45:05","indexId":"70203550","displayToPublicDate":"2019-03-30T16:38:36","publicationYear":"2019","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":"Comparison of groundwater age models for assessing nitrate loading, transport pathways, and management options in a complex aquifer system","docAbstract":"In an aquifer system with complex hydrogeology, mixing of groundwater with different ages could occur associated with various flow pathways. In this study, we applied different groundwater age estimation techniques (lumped parameter model, and numerical model) to characterize groundwater age distributions and the major pathways of nitrate contamination in the Gosan agricultural field, Jeju Island. According to the lumped parameter model, groundwater age in the study area could be explained by the binary mixing of the young groundwater (4-33 years) and the old water component (>60 years). The complex hydrogeologic regimes and local heterogeneity observed in the study area (multi-layered aquifer, well leakage hydraulics) were particularly well reflected in the numerical model. The numerical model predicted that the regional aquifer of Gosan responded to the fertilizer applications more rapidly (mean age: 9.7-22.3 years) than as estimated by other models. Our study results demonstrated that application and comparison of multiple age estimation methods can be useful to understand better the flow regimes and the mixing characteristics of groundwater with different ages (pathways), hence, to reduce the risk of improper groundwater management plan arising from the aquifer heterogeneity.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.11465","usgsCitation":"Koh, E., Lee, E., Kaown, D., Green, C., Koh, D., Lee, K., and Lee, S., 2019, Comparison of groundwater age models for assessing nitrate loading, transport pathways, and management options in a complex aquifer system: Hydrological Processes, v. 32, p. 923-938, https://doi.org/10.1002/hyp.11465.","productDescription":"16 p.","startPage":"923","endPage":"938","ipdsId":"IP-086017","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":364068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"South Korea","otherGeospatial":"Jeju Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              125.9527587890625,\n              33.10534697199519\n            ],\n            [\n              127.0458984375,\n              33.10534697199519\n            ],\n            [\n              127.0458984375,\n              33.69235234723729\n            ],\n            [\n              125.9527587890625,\n              33.69235234723729\n            ],\n            [\n              125.9527587890625,\n              33.10534697199519\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"32","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Koh, E.H.","contributorId":215736,"corporation":false,"usgs":false,"family":"Koh","given":"E.H.","email":"","affiliations":[{"id":37780,"text":"Seoul National University","active":true,"usgs":false}],"preferred":false,"id":763106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, E.","contributorId":215737,"corporation":false,"usgs":false,"family":"Lee","given":"E.","email":"","affiliations":[{"id":37780,"text":"Seoul National University","active":true,"usgs":false}],"preferred":false,"id":763107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaown, D.","contributorId":215738,"corporation":false,"usgs":false,"family":"Kaown","given":"D.","affiliations":[{"id":37780,"text":"Seoul National University","active":true,"usgs":false}],"preferred":false,"id":763108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, Christopher 0000-0002-6480-8194","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":201642,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":763105,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koh, D.C.","contributorId":215739,"corporation":false,"usgs":false,"family":"Koh","given":"D.C.","affiliations":[{"id":24820,"text":"Korea Institute of Geoscience and Mineral Resources","active":true,"usgs":false}],"preferred":false,"id":763109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, K.K","contributorId":215740,"corporation":false,"usgs":false,"family":"Lee","given":"K.K","email":"","affiliations":[{"id":37780,"text":"Seoul National University","active":true,"usgs":false}],"preferred":false,"id":763110,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lee, Sangil","contributorId":215741,"corporation":false,"usgs":false,"family":"Lee","given":"Sangil","affiliations":[{"id":39310,"text":"Korea Polar Research Institute","active":true,"usgs":false}],"preferred":false,"id":763111,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70250180,"text":"70250180 - 2019 - Observations of mixing and transport on a steep beach","interactions":[],"lastModifiedDate":"2023-11-28T14:54:11.945036","indexId":"70250180","displayToPublicDate":"2019-03-30T11:04:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Observations of mixing and transport on a steep beach","docAbstract":"<p><span>Surfzone mixing and transport on a sandy, steep (∼1/8 slope), reflective beach at Carmel River State Beach, California, are described for a range of wave and alongshore flow conditions. Depth-limited wave breaking occurred close to the shore due to the steepness of the beach, creating a narrow surf/swash zone (∼10 m wide). Fluorescent&nbsp;Rhodamine&nbsp;dye was released as a slug in the surfzone, and the temporal and spatial evolution was measured using in-situ dye sensors. Dye concentration measured as a function of time reveals sharp fronts that quickly decay resulting in narrow peaks near the dye release, which subsequently broaden and decrease in peak concentration with alongshore distance. The measurements indicate two stages of mixing and transport occur inside the surfzone on the steep beach. 1) In the near-field (&lt;50 m downstream of the dye release location), the dye fully mixed throughout the water column after a few incident waves then continued to disperse in two dimensions, with both&nbsp;advection&nbsp;and diffusion processes being important. 2) In the far-field (&gt;50 m downstream from the dye release location), the mass transport was dominated by advection. The distance to the far-field is much shorter in the alongshore on a steep beach compared with a dissipative beach. Estimates of cross-shore and alongshore&nbsp;diffusion coefficients&nbsp;(</span><i>κ</i><sub><i>x</i></sub><span>,&nbsp;</span><i>κ</i><sub><i>y</i></sub><span>) were found to be similar in magnitude within the surfzone. Outside the surfzone in the far-field, the results suggest that the mixing processes are independent of those inside the surfzone. The mixing and&nbsp;transport of material&nbsp;observed on this steep beach are found to be analogous to that previously measured on dissipative beaches, however the diffusion coefficients within and outside the surfzone were found to be smaller on this steep beach.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2019.03.009","usgsCitation":"Brown, J., MacMahan, J.H., Reniers, A.J., Thornton, E.B., Shanks, A.L., Morgan, S.G., and Gallagher, E.L., 2019, Observations of mixing and transport on a steep beach: Continental Shelf Research, v. 178, p. 1-14, https://doi.org/10.1016/j.csr.2019.03.009.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-091769","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467759,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.csr.2019.03.009","text":"Publisher Index Page"},{"id":422973,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Untied States","state":"California","otherGeospatial":"Carmel River State Beach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.93199466521054,\n              36.54000030461418\n            ],\n            [\n              -121.93199466521054,\n              36.535106476277605\n            ],\n            [\n              -121.92809085130163,\n              36.535106476277605\n            ],\n            [\n              -121.92809085130163,\n              36.54000030461418\n            ],\n            [\n              -121.93199466521054,\n              36.54000030461418\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"178","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Jenna A. 0000-0003-3137-7073","orcid":"https://orcid.org/0000-0003-3137-7073","contributorId":208564,"corporation":false,"usgs":true,"family":"Brown","given":"Jenna A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"MacMahan, Jamie H.","contributorId":331747,"corporation":false,"usgs":false,"family":"MacMahan","given":"Jamie","email":"","middleInitial":"H.","affiliations":[{"id":36963,"text":"Naval Postgraduate School","active":true,"usgs":false}],"preferred":false,"id":888688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reniers, Ad J. H. M.","contributorId":331748,"corporation":false,"usgs":false,"family":"Reniers","given":"Ad","email":"","middleInitial":"J. H. M.","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":888689,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thornton, Ed B.","contributorId":331749,"corporation":false,"usgs":false,"family":"Thornton","given":"Ed","email":"","middleInitial":"B.","affiliations":[{"id":36963,"text":"Naval Postgraduate School","active":true,"usgs":false}],"preferred":false,"id":888690,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shanks, Alan L.","contributorId":331750,"corporation":false,"usgs":false,"family":"Shanks","given":"Alan","email":"","middleInitial":"L.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":888691,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morgan, Steven G.","contributorId":331751,"corporation":false,"usgs":false,"family":"Morgan","given":"Steven","email":"","middleInitial":"G.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":888692,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gallagher, Edie L.","contributorId":331752,"corporation":false,"usgs":false,"family":"Gallagher","given":"Edie","email":"","middleInitial":"L.","affiliations":[{"id":61771,"text":"Franklin and Marshall College","active":true,"usgs":false}],"preferred":false,"id":888693,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203926,"text":"70203926 - 2019 - Lotic freshwater: Rivers","interactions":[],"lastModifiedDate":"2019-06-25T11:09:35","indexId":"70203926","displayToPublicDate":"2019-03-29T11:08:51","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Lotic freshwater: Rivers","docAbstract":"Ecosystems associated with rivers are intricately connected to their entire watershed. The river ecosystem includes the channel of active water flow, floodplain, and riparian and hyporheic zones. This ecosystem is shaped by interactions among the natural flow of water, sediments within the river and entering the river, and large wood regimes within the riparian zone. River integrity describes the ability of a river ecosystem to adjust to changes in these elements and through these adjustments maintain the habitat, disturbance regime, and connectivity necessary to sustain native biotic communities. Riverine food webs conceptualize the coupling between the physical environment and biotic communities and can be used to examine recovery from disturbance, variation in the structure of communities, and sources of energy that fuel metabolism within the ecosystem.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of the World’s Biomes","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-409548-9.11808-1","usgsCitation":"Wohl, E., Hall, R., and Walters, D., 2019, Lotic freshwater: Rivers, chap. <i>of</i> Encyclopedia of the World’s Biomes, https://doi.org/10.1016/B978-0-12-409548-9.11808-1.","ipdsId":"IP-103520","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":365008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wohl, Ellen 0000-0001-7435-5013","orcid":"https://orcid.org/0000-0001-7435-5013","contributorId":196277,"corporation":false,"usgs":false,"family":"Wohl","given":"Ellen","affiliations":[],"preferred":false,"id":764738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, R. O. Jr.","contributorId":216427,"corporation":false,"usgs":false,"family":"Hall","given":"R. O.","suffix":"Jr.","affiliations":[{"id":39416,"text":"Flathead Lake Biological Station, University of Montana","active":true,"usgs":false}],"preferred":false,"id":764739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205915,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":764737,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204471,"text":"70204471 - 2019 - Prominence of the tropics in the recent rise of global nitrogen pollution","interactions":[],"lastModifiedDate":"2019-07-26T10:15:49","indexId":"70204471","displayToPublicDate":"2019-03-29T11:05:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Prominence of the tropics in the recent rise of global nitrogen pollution","docAbstract":"Nitrogen (N) pollution is shaped by multiple processes, the combined effects of which remain uncertain, particularly in the tropics. We use a global land biosphere model to analyze historical terrestrial-freshwater N budgets, considering the effects of anthropogenic N inputs, atmospheric CO2, land use, and climate. We estimate that globally, land currently sequesters 11 (10–13)% of annual N inputs. Some river basins, however, sequester >50% of their N inputs, buffering coastal waters against eutrophication and society against greenhouse gas-induced warming. Other basins, releasing >25% more than they receive, are mostly located in the tropics, where recent deforestation, agricultural intensification, and/or exports of land N storage can create large N pollution sources. The tropics produce 56 ± 6% of global land N pollution despite covering only 34% of global land area and receiving far lower amounts of fertilizers than the extratropics. Tropical land use should thus be thoroughly considered in managing global N pollution.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41467-019-09468-4","usgsCitation":"Lee, M., Shevliakova, E., Stock, C., Malyshev, S., and Milly, P.C., 2019, Prominence of the tropics in the recent rise of global nitrogen pollution: Nature Communications, v. 10, 1437, 11 p., https://doi.org/10.1038/s41467-019-09468-4.","productDescription":"1437, 11 p.","ipdsId":"IP-102668","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":460425,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-019-09468-4","text":"Publisher Index Page"},{"id":365932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365925,"type":{"id":15,"text":"Index Page"},"url":"https://www.nature.com/articles/s41467-019-09468-4"}],"volume":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, Minjin","contributorId":177261,"corporation":false,"usgs":false,"family":"Lee","given":"Minjin","email":"","affiliations":[],"preferred":false,"id":767115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shevliakova, Elena","contributorId":201589,"corporation":false,"usgs":false,"family":"Shevliakova","given":"Elena","email":"","affiliations":[{"id":36211,"text":"GFDL/NOAA","active":true,"usgs":false}],"preferred":false,"id":767116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stock, Charles A.","contributorId":217586,"corporation":false,"usgs":false,"family":"Stock","given":"Charles A.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":767117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malyshev, Sergey","contributorId":201588,"corporation":false,"usgs":false,"family":"Malyshev","given":"Sergey","affiliations":[{"id":36211,"text":"GFDL/NOAA","active":true,"usgs":false}],"preferred":false,"id":767118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Milly, Paul C. D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":176836,"corporation":false,"usgs":true,"family":"Milly","given":"Paul","email":"cmilly@usgs.gov","middleInitial":"C. D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":false,"id":767114,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203107,"text":"70203107 - 2019 - Serologic evidence for influenza A virus exposure in three loon species (Gavia spp.) breeding in Alaska","interactions":[],"lastModifiedDate":"2019-10-09T09:08:52","indexId":"70203107","displayToPublicDate":"2019-03-29T10:53:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Serologic evidence for influenza A virus exposure in three loon species (Gavia spp.) breeding in Alaska","docAbstract":"<p><span>Limited information exists about exposure to influenza A viruses (IAVs) in many wild waterbird species, including loons. We analyzed serum samples from breeding adult Pacific (</span><i>Gavia pacifica</i><span>), Red-throated (</span><i>Gavia stellata</i><span>), and Yellow-billed (</span><i>Gavia adamsii</i><span>) loons sampled at three locations along the coast of Alaska, US from 2008 to 2017 to gain a better understanding of the potential role loons play in IAV ecology. We screened loon sera for IAV antibodies using three tests—blocking enzyme-linked immunosorbent assay (bELISA), agar gel immunodiffusion (AGID), and hemagglutination inhibition (HI)—and examined patterns in seroprevalence among species and sampling locations. We found evidence of IAV infection in all loon species and at all breeding locations, although concordance was imperfect among serological tests. Diagnostic tests yielded seroprevalence estimates of 24% (42/172) with bELISA, 8% (5/60) with AGID, and 6% (4/70) with HI. The IAV subtypes to which loon sera reacted using HI were consistent with those detected in waterfowl and gulls at other locations in Alaska, suggesting that loons may be exposed to IAV maintained in sympatric waterbirds. Our study provided evidence that loons inhabiting Alaska were exposed to IAV. However, given imperfect concordance among serologic tests, and relatively low seroprevalence as compared to other avian taxa exposed to IAV in Alaska, they make poor IAV surveillance targets.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2018-06-165","usgsCitation":"Uher-Koch, B.D., Spivey, T.J., Van Hemert, C.R., Schmutz, J.A., Jiang, K., Wan, X., and Ramey, A.M., 2019, Serologic evidence for influenza A virus exposure in three loon species (Gavia spp.) breeding in Alaska: Journal of Wildlife Diseases, v. 55, no. 4, p. 862-867, https://doi.org/10.7589/2018-06-165.","productDescription":"6 p.","startPage":"862","endPage":"867","ipdsId":"IP-099071","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":437522,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YVG9ME","text":"USGS data release","linkHelpText":"Influenza A antibodies in Pacific (Gavia pacifica), Red-throated (G. stellata), and Yellow-billed Loons (G. adamsii) in Alaska, 2008-2017"},{"id":363100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70202858,"text":"70202858 - 2019 - Geology and biostratigraphy of the Upper Floridan aquifer in the greater Savannah region, Georgia and South Carolina","interactions":[],"lastModifiedDate":"2020-10-22T20:38:40.180425","indexId":"70202858","displayToPublicDate":"2019-03-29T10:34:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Geology and biostratigraphy of the Upper Floridan aquifer in the greater Savannah region, Georgia and South Carolina","docAbstract":"<p>The Upper Floridan aquifer (UFA) of South Carolina, Georgia, Alabama, Mississippi, and Florida has been considered a regionally continuous stratigraphic sequence of Eocene to Miocene carbonate strata, with documented unconformities based on lithology and biostratigraphy.&nbsp; As part of an investigation of the regional subsurface geologic framework in the Atlantic Coastal Plain Province, three deep cores were drilled by the U.S. Geological Survey at Pineora, Effingham County, Georgia; Cockspur Island, Chatham County, Georgia; and Palm Dunes, Beaufort County, South Carolina. The age of the UFAbased on calcareous nannofossil biostratigraphy ranges from early Oligocene to early Miocene in Pineora, late Eocene to late Oligocene in Cockspur Island, and late Eocene to questionably Miocene in Palm Dunes. Thin section analyses identified eleven unique microfacies across the study area and suggests that the sediments were most likely transported by oceanic currents at the time of deposition. Disconformities are identified from the Pineora and Palm Dunes cores and channel incision is documented at the top of the UFA in the Palm Dunes core. This study 1) documents how existing formation and time stratigraphic boundaries cross hydrogeologic units, 2) shows the complex geologic nature of the Upper Floridan aquifer across a relatively limited area, 3) sets forth a better understanding of how lateral and vertical changes in the lithologic units of the UFA affect permeability and porosity, and thus subsurface hydrologic flow, across the region, and 4) highlights the problems faced by legislators when implementing groundwater use regulations intended to slow salt water intrusion and drawdown.</p>","language":"English","publisher":"Micropaleontology Press","doi":"10.29041/strat.16.1.41-62","usgsCitation":"Self-Trail, J., Parker, M., Haynes, J.T., Schultz, A., and Huddleston, P.F., 2019, Geology and biostratigraphy of the Upper Floridan aquifer in the greater Savannah region, Georgia and South Carolina: Stratigraphy, v. 16, no. 1, p. 41-62, https://doi.org/10.29041/strat.16.1.41-62.","productDescription":"22 p.","startPage":"41","endPage":"62","ipdsId":"IP-101631","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":362647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, South Carolina","otherGeospatial":"Upper Floridan aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.28440856933594,\n              31.983035484210404\n            ],\n            [\n              -80.72685241699217,\n              31.983035484210404\n            ],\n            [\n              -80.72685241699217,\n              32.29525895520317\n            ],\n            [\n              -81.28440856933594,\n              32.29525895520317\n            ],\n            [\n              -81.28440856933594,\n              31.983035484210404\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":760292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Mercer 0000-0001-6683-6458 mercerparker@usgs.gov","orcid":"https://orcid.org/0000-0001-6683-6458","contributorId":203174,"corporation":false,"usgs":true,"family":"Parker","given":"Mercer","email":"mercerparker@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":760293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haynes, John T.","contributorId":197407,"corporation":false,"usgs":false,"family":"Haynes","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":760294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schultz, Arthur P.","contributorId":212837,"corporation":false,"usgs":false,"family":"Schultz","given":"Arthur P.","affiliations":[],"preferred":false,"id":760295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huddleston, Paul. F.","contributorId":214584,"corporation":false,"usgs":false,"family":"Huddleston","given":"Paul.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":760296,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203925,"text":"70203925 - 2019 - Biological effects of elevated major ions in surface water contaminated by a produced water from oil production","interactions":[],"lastModifiedDate":"2019-06-21T09:30:41","indexId":"70203925","displayToPublicDate":"2019-03-29T09:25:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Biological effects of elevated major ions in surface water contaminated by a produced water from oil production","docAbstract":"<p>Produced water (PW) from oil and gas extraction processes has been shown to contain elevated concentrations of major ions. The objective of this study was to determine the potential effects of elevated major ions in PW-contaminated surface water on a fish (fathead minnow, <i>Pimephales promelas</i>) and a unionid mussel (fatmucket, <i>Lampsilis siliquoidea</i>) in short-term (7-day) exposures. The test organisms were exposed in 3 reconstituted waters formulated with 1, 2, and 4 times the major ions measured at a PW-contaminated stream site 1 month after a PW spill from an oil production wastewater pipeline in the Williston Basin, North Dakota. A reconstituted water mimicking the ionic composition of an upstream site from the spill was used as a reference water. Significant reductions in survival and growth of the fish were observed in the 4× treatment compared with the reference. The mussels were more sensitive than the fish, with significant reductions in survival in the 2× and 4× treatments, and significant reductions in length in the 1× and 2× treatments. Overall, these results indicate that elevated concentrations of major ions in PW-contaminated surface waters could adversely affect the fish and mussels tested and potentially other aquatic organisms.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00244-019-00610-3","usgsCitation":"Wang, N., Kunz, J.L., Cleveland, D.M., Steevens, J.A., and Cozzarelli, I.M., 2019, Biological effects of elevated major ions in surface water contaminated by a produced water from oil production: Archives of Environmental Contamination and Toxicology, v. 76, no. 4, p. 670-677, https://doi.org/10.1007/s00244-019-00610-3.","productDescription":"8 p.","startPage":"670","endPage":"677","ipdsId":"IP-102029","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":437523,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BNJ0BT","text":"USGS data release","linkHelpText":"Physical, Chemical, and Bioassay Data from the Study on Effects of Elevated Major Ions in Surface Water Contaminated by a Produced Water from Oil Production"},{"id":364876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":764732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":764733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":764734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":764735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":764736,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203069,"text":"70203069 - 2019 - Assessing patterns of annual change to permafrost bluffs along the North Slope coast of Alaska using high-resolution imagery and elevation models","interactions":[],"lastModifiedDate":"2019-06-18T11:40:43","indexId":"70203069","displayToPublicDate":"2019-03-29T08:54:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing patterns of annual change to permafrost bluffs along the North Slope coast of Alaska using high-resolution imagery and elevation models","docAbstract":"Coastal permafrost bluffs at Barter Island, on the North Slope, Beaufort Sea Coast of Alaska are among the most rapidly eroding along Alaska’s coast, having retreated up to 132 m between 1955 and 2015. Here we quantify rates and patterns of change over a single year using very-high resolution orthophotomosaics and co-registered surface elevation models derived from a survey-grade form of structure-from-motion photogrammetry from a fixed-wing, manned aircraft. The resulting elevation models were validated with over 10,000 ground check points and found that 95% agreed to within 20 cm, before accounting for real differences in the ground surface due to seasonality, vegetation, and checkpoint acquisition errors. This data set provides the most detailed and accurate measurements of coastal change to date along the Alaskan coast and the method is scaleable to more extensive coastlines. Between July 2014 and July 2015, the bluffs retreated an average of 1.3 m, and a maximum of 8.1 m, with an associated net volume loss of 38,100 ± 300 m3 (1.3 m3/m). This average retreat over this single year was slightly less than the 60-year mean rate of change of -1.5±0.1 m/yr, suggesting the 2014-2015 year represented relatively typical to slightly below average conditions. Most of the bluff material (70%) was lost during the 3 summer months (July to Sept) of 2014 and the remaining 30% between the late-summer and following winter-spring. The pattern of change was predominantly landward retreat of the top of the bluffs, removal of the debris apron and subsequent niching at the base of the bluffs during mid to late summer (July to Sept) followed by erosion of the bluff face and deposition of debris at the base of the bluff through the remainder of the year (Sept to the following July). Drivers of the observed change are likely a combination of thermal erosion on the bluff face throughout the summer and episodic thermo-mechanical removal of material, niching, and undercutting of the base associated with high-water levels driven by low-pressure storms and westerly winds. These patterns and high rates of change are believed to be broadly representative of coastal permafrost bluffs found along many high-latitude coastlines worldwide.","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2019.03.029","usgsCitation":"Gibbs, A.E., Nolan, M., Richmond, B.M., Snyder, A.G., and Erikson, L., 2019, Assessing patterns of annual change to permafrost bluffs along the North Slope coast of Alaska using high-resolution imagery and elevation models: Geomorphology, v. 336, p. 152-164, https://doi.org/10.1016/j.geomorph.2019.03.029.","productDescription":"13 p.","startPage":"152","endPage":"164","ipdsId":"IP-091185","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467763,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2019.03.029","text":"Publisher Index Page"},{"id":362994,"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              -151.171875,\n              68.64055504059381\n            ],\n            [\n              -141.240234375,\n              68.64055504059381\n            ],\n            [\n              -141.240234375,\n              71.13098770917023\n            ],\n            [\n              -151.171875,\n              71.13098770917023\n            ],\n            [\n              -151.171875,\n              68.64055504059381\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"336","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":761026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nolan, Matt","contributorId":146230,"corporation":false,"usgs":false,"family":"Nolan","given":"Matt","affiliations":[{"id":16761,"text":"Institute of Northern Engineering, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":761027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":761029,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snyder, Alexander G. 0000-0001-6250-4827 agsnyder@usgs.gov","orcid":"https://orcid.org/0000-0001-6250-4827","contributorId":171654,"corporation":false,"usgs":true,"family":"Snyder","given":"Alexander","email":"agsnyder@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":761028,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erikson, Li 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":214865,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":761030,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202840,"text":"70202840 - 2019 - Effects of age and environment on stable carbon isotope ratios in tree rings of riparian Populus","interactions":[],"lastModifiedDate":"2019-03-28T15:24:28","indexId":"70202840","displayToPublicDate":"2019-03-28T15:22:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Effects of age and environment on stable carbon isotope ratios in tree rings of riparian Populus","docAbstract":"Stable carbon isotopes of riparian tree rings are enabling improved reconstruction of past climate variability, but this advance is limited by difficulty distinguishing the effects of tree age from those of climate. We investigated relative influence of age and climate trends in genus Populus, which dominates floodplain forests in Europe, Asia and North America. We related precipitation and river flow to annual variation in stable carbon isotope ratio (δ13C) in trees with a broad distribution of ages spanning two hundred years. On the floodplain of the lightly regulated Little Missouri River, North Dakota, USA, we examined a total of 845 rings from seven specimens of cottonwood tree (Populus deltoides W. Bartram ex Marshall ssp. monilifera [Aiton] Eckenwalder). Cottonwood δ13C decreased from pith to bark in whole wood, but this trend was almost completely eliminated in purified cellulose. The δ13C offset between whole wood and cellulose increased from pith to bark, consistent with trends of decreasing cellulose and increasing hemicellulose as a proportion of whole wood. While annual ring width was correlated with monthly precipitation from April through June, δ13C showed strong correlations only in\nJune and July, suggesting that these complementary proxies allow resolution of seasonal variation in water availability. We conclude that past climate can be reconstructed from δ13C of purified cellulose from cottonwood without detrending for tree age.","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2019.03.022","usgsCitation":"Friedman, J.M., Stricker, C.A., Adam Z Csank, and Zhou, H., 2019, Effects of age and environment on stable carbon isotope ratios in tree rings of riparian Populus: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 524, p. 25-32, https://doi.org/10.1016/j.palaeo.2019.03.022.","productDescription":"8 p.","startPage":"25","endPage":"32","ipdsId":"IP-100611","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.palaeo.2019.03.022","text":"Publisher Index Page"},{"id":362513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"524","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":760217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":760218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adam Z Csank","contributorId":214564,"corporation":false,"usgs":false,"family":"Adam Z Csank","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":760219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhou, Honghua","contributorId":214565,"corporation":false,"usgs":false,"family":"Zhou","given":"Honghua","email":"","affiliations":[{"id":18132,"text":"Xinjiang Institute of Ecology and Geography, China","active":true,"usgs":false}],"preferred":false,"id":760220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202838,"text":"70202838 - 2019 - HyCReWW: A hybrid coral reef wave and water level metamodel","interactions":[],"lastModifiedDate":"2019-03-28T15:20:55","indexId":"70202838","displayToPublicDate":"2019-03-28T15:19:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"HyCReWW: A hybrid coral reef wave and water level metamodel","docAbstract":"Wave-induced flooding is a major coastal hazard on tropical islands fronted by coral reefs. The variability of shape, size, and physical characteristics of the reefs across the globe make it difficult to obtain a parameterization of wave run-up, which is needed for risk assessments. Therefore, we developed the HyCReWW metamodel to predict wave run-up under a wide range of reef morphometric and offshore forcing characteristics. Due to the complexity and high dimensionality of the problem, we assumed an idealized one-dimensional reef profile, characterized by seven primary parameters. XBeach Non-Hydrostatic was chosen to create the synthetic dataset, and Radial Basis Functions implemented in MATLAB® were chosen for interpolation. Results demonstrate the applicability of the metamodel to obtain fast and accurate results of wave run-up for a large range of intrinsic reef morphologic and extrinsic hydrodynamic forcing parameters, offering a useful tool for risk management and early warning systems.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2019.03.004","usgsCitation":"Rueda, A.C., Cagigal, L., Pearson, S., Antolínez, J., Storlazzi, C.D., van Dongeren, A., Camus, P., and Mendez, F.J., 2019, HyCReWW: A hybrid coral reef wave and water level metamodel: Computers & Geosciences, v. 127, p. 85-90, https://doi.org/10.1016/j.cageo.2019.03.004.","productDescription":"6 p.","startPage":"85","endPage":"90","ipdsId":"IP-094659","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467766,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cageo.2019.03.004","text":"Publisher Index Page"},{"id":437524,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SX6CFQ","text":"USGS data release","linkHelpText":"HyCReWW database: A hybrid coral reef wave and water level metamodel"},{"id":362512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rueda, Ana C.","contributorId":177511,"corporation":false,"usgs":false,"family":"Rueda","given":"Ana","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":760208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cagigal, Laura","contributorId":214560,"corporation":false,"usgs":false,"family":"Cagigal","given":"Laura","affiliations":[{"id":39072,"text":"U.Cantabria","active":true,"usgs":false}],"preferred":false,"id":760209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearson, Stuart","contributorId":193835,"corporation":false,"usgs":false,"family":"Pearson","given":"Stuart","affiliations":[],"preferred":false,"id":760210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Antolínez, Jose","contributorId":214561,"corporation":false,"usgs":false,"family":"Antolínez","given":"Jose","affiliations":[{"id":39072,"text":"U.Cantabria","active":true,"usgs":false}],"preferred":false,"id":760211,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":760207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Dongeren, Ap","contributorId":149002,"corporation":false,"usgs":false,"family":"van Dongeren","given":"Ap","email":"","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":760212,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Camus, Paula","contributorId":177512,"corporation":false,"usgs":false,"family":"Camus","given":"Paula","email":"","affiliations":[],"preferred":false,"id":760213,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mendez, Fernando J.","contributorId":177514,"corporation":false,"usgs":false,"family":"Mendez","given":"Fernando","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":760214,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70202570,"text":"70202570 - 2019 - Wetland drying linked to variations in snowmelt runoff across Grand Teton and Yellowstone national parks","interactions":[],"lastModifiedDate":"2019-03-28T13:27:57","indexId":"70202570","displayToPublicDate":"2019-03-28T13:25:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Wetland drying linked to variations in snowmelt runoff across Grand Teton and Yellowstone national parks","docAbstract":"In Grand Teton and Yellowstone national parks wetlands offer critical habitat and play a key role in supporting biological diversity. The shallow depths and small size of many wetlands make them vulnerable to changes in climate compared with larger and deeper aquatic habitats. Here, we use a simple water balance model to generate estimates of biophysical drivers of wetland change. We then examine the relationship between wetland inundation status and four principal drivers (i.e., temperature, precipitation, evapotranspiration, and runoff) spanning varying meteorological conditions over an 8-year time series from Grand Teton and Yellowstone national parks. We found that a higher percentage of surveyed wetlands were dry in years characterized by lower snowmelt runoff. While runoff-based models were most supported, wetland drying was also related to variations in April to June precipitation and temperatures. Our work shows that wetland drying was widespread across both parks, but sub-regional variations were best described at the hydrologic subbasin-level. Documenting the varying responses of wetlands to meteorological drivers is a necessary first step to identifying which subbasins are most sensitive to recent change and contemplating how future change may alter the distribution of wetlands and their dependent taxa.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.02.296","usgsCitation":"Ray, A.M., Sepulveda, A.J., Irvine, K.M., Wilmoth, S.K., Thoma, D.P., and Patla, D.A., 2019, Wetland drying linked to variations in snowmelt runoff across Grand Teton and Yellowstone national parks: Science of the Total Environment, v. 666, p. 1188-1197, https://doi.org/10.1016/j.scitotenv.2019.02.296.","productDescription":"10 p.","startPage":"1188","endPage":"1197","ipdsId":"IP-097789","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":460429,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.02.296","text":"Publisher Index Page"},{"id":362508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United states","state":"Idaho, Montana, Wyoming","otherGeospatial":"Grand Teton National Park, Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.642822265625,\n              43.32517767999296\n            ],\n            [\n              -108.8525390625,\n              43.35713822211053\n            ],\n            [\n              -108.86352539062499,\n              45.460130637921004\n            ],\n            [\n              -112.642822265625,\n              45.51404592560424\n            ],\n            [\n              -112.642822265625,\n              43.32517767999296\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"666","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ray, Andrew M.","contributorId":167601,"corporation":false,"usgs":false,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":759146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":759145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":759147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilmoth, Siri K.C.","contributorId":214102,"corporation":false,"usgs":false,"family":"Wilmoth","given":"Siri","email":"","middleInitial":"K.C.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":759148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thoma, David P.","contributorId":197256,"corporation":false,"usgs":false,"family":"Thoma","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":759149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patla, Debra A.","contributorId":214103,"corporation":false,"usgs":false,"family":"Patla","given":"Debra","email":"","middleInitial":"A.","affiliations":[{"id":38924,"text":"Northern Rockies Conservation Cooperative","active":true,"usgs":false}],"preferred":false,"id":759150,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70202977,"text":"70202977 - 2019 - Improving eDNA yield and inhibitor reduction through increased water volumes and multi-filter isolation techniques","interactions":[],"lastModifiedDate":"2019-08-16T11:57:47","indexId":"70202977","displayToPublicDate":"2019-03-27T17:14:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Improving eDNA yield and inhibitor reduction through increased water volumes and multi-filter isolation techniques","docAbstract":"<div id=\"Abs1-section\" class=\"serif article-section js-article-section cleared clear\"><div id=\"Abs1-content\" class=\"pl20 mq875-pl0 js-collapsible-section\"><p>To inform management and conservation decisions, environmental DNA (eDNA) methods are used to detect genetic material shed into the water by imperiled and invasive species. Methodological enhancements are needed to reduce filter clogging, PCR inhibition, and false-negative detections when eDNA is at low concentrations. In the first of three simple experiments, we sought to ameliorate filter clogging from particulates and organic material through a scaled-up, multi-filter protocol. We combined four filters in a 5 mL Phenol-Chloroform-Isoamyl (PCI) procedure to allow for larger volumes of water (~1 L) to be filtered rapidly. Increasing the filtered water volume by four times resulted in 4.4X the yield of target DNA. Next, inhibition from organic material can reduce or block eDNA detections in PCR-based assays. To remove inhibitory compounds retained during eDNA isolation, we tested three methods to chemically strip inhibitors from eDNA molecules. The use of CTAB as a short-term (5–8 day) storage buffer, followed by a PCI isolation, resulted in the highest eDNA yields. Finally, as opposed to a linear relationship among increasing concentrations of filtered genomic eDNA, we observed a sharp change between the lower (70–280 ng) and higher (420–560 ng) amounts. This may be important for effectively precipitating eDNA during protocol testing.</p></div></div>","language":"English","publisher":"SpringerNature","doi":"10.1038/s41598-019-40977-w","usgsCitation":"Hunter, M., Ferrante, J., Meigs-Friend, G., and Ulmer, A., 2019, Improving eDNA yield and inhibitor reduction through increased water volumes and multi-filter isolation techniques: Scientific Reports, v. 9, Article 5259 , https://doi.org/10.1038/s41598-019-40977-w.","productDescription":"Article 5259 ","ipdsId":"IP-101965","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467771,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-40977-w","text":"Publisher Index Page"},{"id":362863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214742,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":760671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferrante, Jason 0000-0003-3453-4636","orcid":"https://orcid.org/0000-0003-3453-4636","contributorId":214743,"corporation":false,"usgs":true,"family":"Ferrante","given":"Jason","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":760672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meigs-Friend, Gaia 0000-0001-5181-7510","orcid":"https://orcid.org/0000-0001-5181-7510","contributorId":214744,"corporation":false,"usgs":true,"family":"Meigs-Friend","given":"Gaia","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":760673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ulmer, Amelia 0000-0001-8580-8372","orcid":"https://orcid.org/0000-0001-8580-8372","contributorId":214745,"corporation":false,"usgs":false,"family":"Ulmer","given":"Amelia","email":"","affiliations":[{"id":39110,"text":"WARC, USGS (no long here)","active":true,"usgs":false}],"preferred":false,"id":760674,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203672,"text":"70203672 - 2019 - The natural wood regime in rivers","interactions":[],"lastModifiedDate":"2019-06-05T18:14:07","indexId":"70203672","displayToPublicDate":"2019-03-27T17:08:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"The natural wood regime in rivers","docAbstract":"<p><span>The natural wood regime forms the third leg of a tripod of physical processes that supports river science and management, along with the natural flow and sediment regimes. The wood regime consists of wood recruitment, transport, and storage in river corridors. Each of these components can be characterized in terms of magnitude, frequency, rate, timing, duration, and mode. We distinguish the natural wood regime, which occurs where human activities do not significantly alter the wood regime, and a target wood regime, in which management emphasizes wood recruitment, transport, and storage that balance desired geomorphic and ecological characteristics with mitigation of wood-related hazards. Wood regimes vary across space and through time but can be inferred and quantified via direct measurements, reference sites, historical information, and numerical modeling. Classifying wood regimes with respect to wood process domains and quantifying the wood budget are valuable tools for assessing and managing rivers.</span></p>","language":"English","publisher":"American Institute of Biological Sciences","doi":"10.1093/biosci/biz013","usgsCitation":"Wohl, E., Kramer, N., Ruiz-Villanueva, V., Scott, D., Comiti, F., Gurnell, A.M., Piegay, H., Lininger, K.B., Jaeger, K., Walters, D., and Fausch, K., 2019, The natural wood regime in rivers: BioScience, v. 69, no. 4, p. 259-273, https://doi.org/10.1093/biosci/biz013.","productDescription":"15 p. ","startPage":"259","endPage":"273","ipdsId":"IP-103578","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":467772,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1093/biosci/biz013","text":"External Repository"},{"id":364406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wohl, Ellen 0000-0001-7435-5013","orcid":"https://orcid.org/0000-0001-7435-5013","contributorId":194945,"corporation":false,"usgs":false,"family":"Wohl","given":"Ellen","affiliations":[],"preferred":false,"id":763765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kramer, Natalie 0000-0001-6301-6155","orcid":"https://orcid.org/0000-0001-6301-6155","contributorId":216050,"corporation":false,"usgs":false,"family":"Kramer","given":"Natalie","email":"","affiliations":[],"preferred":false,"id":763766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruiz-Villanueva, Virgina 0000-0002-0196-320X","orcid":"https://orcid.org/0000-0002-0196-320X","contributorId":216051,"corporation":false,"usgs":false,"family":"Ruiz-Villanueva","given":"Virgina","email":"","affiliations":[],"preferred":false,"id":763767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, Daniel 0000-0001-6589-7603","orcid":"https://orcid.org/0000-0001-6589-7603","contributorId":191673,"corporation":false,"usgs":false,"family":"Scott","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":763768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Comiti, F.","contributorId":82130,"corporation":false,"usgs":true,"family":"Comiti","given":"F.","email":"","affiliations":[],"preferred":false,"id":763769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gurnell, Angela M 0000-0002-7249-8202","orcid":"https://orcid.org/0000-0002-7249-8202","contributorId":216052,"corporation":false,"usgs":false,"family":"Gurnell","given":"Angela","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":763770,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Piegay, Herve","contributorId":177157,"corporation":false,"usgs":false,"family":"Piegay","given":"Herve","email":"","affiliations":[],"preferred":false,"id":763776,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lininger, Katherine B. 0000-0003-0378-9505","orcid":"https://orcid.org/0000-0003-0378-9505","contributorId":194946,"corporation":false,"usgs":false,"family":"Lininger","given":"Katherine","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":763772,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jaeger, Kristin 0000-0002-1209-8506 kjaeger@usgs.gov","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":196686,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","email":"kjaeger@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763773,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Walters, David 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":147135,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":763774,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fausch, Kurt D. 0000-0001-5825-7560","orcid":"https://orcid.org/0000-0001-5825-7560","contributorId":198488,"corporation":false,"usgs":false,"family":"Fausch","given":"Kurt D.","affiliations":[],"preferred":false,"id":763775,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70203377,"text":"70203377 - 2019 - Energy allocation and feeding ecology of juvenile chum salmon (Oncorhynchus keta) during transition from freshwater to saltwater","interactions":[],"lastModifiedDate":"2019-05-10T08:26:26","indexId":"70203377","displayToPublicDate":"2019-03-27T13:44:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Energy allocation and feeding ecology of juvenile chum salmon (<i>Oncorhynchus keta</i>) during transition from freshwater to saltwater","title":"Energy allocation and feeding ecology of juvenile chum salmon (Oncorhynchus keta) during transition from freshwater to saltwater","docAbstract":"Pacific salmon (Oncorhynchus spp.) populations near their northern range extent in the Arctic-Yukon-Kuskokwim region of Alaska have undergone major changes in population trajectory and illuminated the lack of basic information on juvenile ecology. This study fills information gaps on the early life history of chum salmon at northern latitudes. Energy allocation was examined in the context of distribution, feeding intensity, and diet during a critical life history period for a single cohort of juvenile chum salmon (O. keta) as they transition from freshwater to saltwater in Kuskokwim Bay from mid-May to early June. Juvenile chum salmon were primarily captured in the river mouth and plume. Energy density (kJ g−1 dry mass) was related to fork length, timing (day-of-year), and capture location in a general additive model. The smallest fish had slightly higher energy densities, but the change in energy density with fish size was minimal and consistent with allocating energy toward somatic growth rather than lipid storage. Fish captured earlier had higher energy density, likely reflecting the presence of residual yolk lipids during early migration. Fish captured in the river mouth and plume had higher energy densities. Feeding intensity was highest among small fish captured later within the river plume. Diet was dominated by surface prey (insects and calanoid copepods) rather than epibenthic harpacticoid copepods as commonly observed. These results provide the first data on energy allocation of juvenile chum salmon during a critical life history phase and suggest that somatic growth is prioritized over storing lipid at saltwater entry.","language":"English","publisher":"Springer","doi":"10.1007/s00300-018-2297-2","usgsCitation":"Burril, S.E., von Biela, V.R., Hillbruber, N., and Zimmerman, C.E., 2019, Energy allocation and feeding ecology of juvenile chum salmon (Oncorhynchus keta) during transition from freshwater to saltwater: Polar Biology, v. 41, no. 7, p. 1447-1461, https://doi.org/10.1007/s00300-018-2297-2.","productDescription":"15 p.","startPage":"1447","endPage":"1461","ipdsId":"IP-087552","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":363648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kuskokwim Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -168.0,58.35 ], [ -168.0,61.0 ], [ -158.0,61.0 ], [ -158.0,58.35 ], [ -168.0,58.35 ] ] ] } } ] }","volume":"41","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Burril, Sean E.","contributorId":215441,"corporation":false,"usgs":false,"family":"Burril","given":"Sean","email":"","middleInitial":"E.","affiliations":[{"id":39248,"text":"College of Fisheries and Ocean Sciences, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":762388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":762387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hillbruber, Nicola","contributorId":215442,"corporation":false,"usgs":false,"family":"Hillbruber","given":"Nicola","email":"","affiliations":[{"id":39248,"text":"College of Fisheries and Ocean Sciences, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":762389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":762390,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202669,"text":"ofr20191028 - 2019 - Measurement of long-term channel change through repeated cross-section surveys at bridge crossings in Alaska","interactions":[],"lastModifiedDate":"2019-03-28T12:48:22","indexId":"ofr20191028","displayToPublicDate":"2019-03-27T10:38:12","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1028","displayTitle":"Measurement of Long-Term Channel Change Through Repeated Cross-Section Surveys at Bridge Crossings in Alaska","title":"Measurement of long-term channel change through repeated cross-section surveys at bridge crossings in Alaska","docAbstract":"<p class=\"p1\">The U.S. Geological Survey (USGS) has been working with Alaska Department of Transportation and Public Facilities (ADOT&amp;PF) since 1993 to provide hydraulic assessments of scour for bridges throughout Alaska. The purpose of the program is to evaluate, monitor, and study streambed scour at bridges in Alaska; this includes surveying streambed elevations at regular intervals and monitoring real-time bed elevation changes. Over the duration of the scour program (1994–2017), repeated cross sections have been surveyed along the lengths of 76 bridges. Channel soundings are depth-from-bridge measurements on either the upstream or downstream side of a bridge. Flow, depth, and velocity dictated whether streambed elevations were measured using either USGS sounding weights on cable reels, weighted measuring tapes, or acoustic Doppler current profilers. The soundings were done on an annual basis at most sites. In addition to annual soundings, channel soundings were made during floods or periods of scour. Results show that general scour can be uniform or non-uniform across the channel. The magnitude and distribution of scour across the channel are influenced by several factors that include streambed sediment type, degree of channel contraction at the bridge crossing, influence of instream structures, and bridge pier location and alignment. The data collected from the repeat soundings can be used to identify long-term aggradation or degradation of the streambed, as well as seasonal changes in streambed elevations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191028","collaboration":"Prepared in cooperation with the Alaska Department of Transportation and Public Facilities","usgsCitation":"Dworsky, K.L., and Conaway, J.S., 2019, Measurement of long-term channel change through repeated cross-section surveys at bridge crossings in Alaska: U.S. Geological Survey Open-File Report 2019-1028, 118 p., https://doi.org/10.3133/ofr20191028.","productDescription":"Report: vii, 118 p.; 2 Appendices","numberOfPages":"130","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-101816","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":437525,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G663NX","text":"USGS data release","linkHelpText":"Sounding Cross Section Surveys at Alaska Bridge Crossings"},{"id":362475,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1028/coverthb.jpg"},{"id":362477,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1028/ofr20191028_appendix01.xlsx","text":"Appendix 1","size":"2.6 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2019-1028 Appendix 1"},{"id":362476,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1028/ofr20191028.pdf","text":"Report","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1028"},{"id":362478,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1028/ofr20191028_appendix02.pdf","text":"Appendix 2","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1028 Appendix 2"}],"country":"United States","state":"Alaska","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Cross-Section Surveys</li><li>Summary</li><li>References Cited</li><li>Appendixes 1–2</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-03-27","noUsgsAuthors":false,"publicationDate":"2019-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Dworsky, Karenth L. 0000-0002-3287-6934 kdworsky@usgs.gov","orcid":"https://orcid.org/0000-0002-3287-6934","contributorId":200851,"corporation":false,"usgs":true,"family":"Dworsky","given":"Karenth","email":"kdworsky@usgs.gov","middleInitial":"L.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":759399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conaway, Jeffrey S. 0000-0002-3036-592X jconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":2026,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeffrey","email":"jconaway@usgs.gov","middleInitial":"S.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":759398,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203344,"text":"70203344 - 2019 - Mid-latitude net precipitation decreased with Arctic warming during the Holocene","interactions":[],"lastModifiedDate":"2019-05-07T09:30:30","indexId":"70203344","displayToPublicDate":"2019-03-27T09:29:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Mid-latitude net precipitation decreased with Arctic warming during the Holocene","docAbstract":"<div id=\"Abs1-section\" class=\"serif article-section js-article-section cleared clear\"><div id=\"Abs1-content\" class=\"pl20 mq875-pl0 js-collapsible-section\"><p>The latitudinal temperature gradient between the Equator and the poles influences atmospheric stability, the strength of the jet stream and extratropical cyclones<sup></sup>. Recent global warming is weakening the annual surface gradient in the Northern Hemisphere by preferentially warming the high latitudes<sup></sup>; however, the implications of these changes for mid-latitude climate remain uncertain<sup></sup>. Here we show that a weaker latitudinal temperature gradient—that is, warming of the Arctic with respect to the Equator—during the early to middle part of the Holocene coincided with substantial decreases in mid-latitude net precipitation (precipitation minus evapotranspiration, at 30°&nbsp;N to 50°&nbsp;N). We quantify the evolution of the gradient and of mid-latitude moisture both in a new compilation of Holocene palaeoclimate records spanning from 10°&nbsp;S to 90°&nbsp;N and in an ensemble of mid-Holocene climate model simulations. The observed pattern is consistent with the hypothesis that a weaker temperature gradient led to weaker mid-latitude westerly flow, weaker cyclones and decreased net terrestrial mid-latitude precipitation. Currently, the northern high latitudes are warming at rates nearly double the global average<sup></sup>, decreasing the Equator-to-pole temperature gradient to values comparable with those in the early to middle Holocene. If the patterns observed during the Holocene hold for current anthropogenically forced warming, the weaker latitudinal temperature gradient will lead to considerable reductions in mid-latitude water resources.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41586-019-1060-3","usgsCitation":"Cody Routson, McKay, N., Kaufman, D., Goosse, H., Bryan Shuman, Rodysill, J., and Ault, T., 2019, Mid-latitude net precipitation decreased with Arctic warming during the Holocene: Nature, v. 568, p. 83-87, https://doi.org/10.1038/s41586-019-1060-3.","productDescription":"5 p.","startPage":"83","endPage":"87","ipdsId":"IP-088349","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":490056,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2078.1/224511","text":"External Repository"},{"id":363549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363534,"type":{"id":15,"text":"Index Page"},"url":"https://www.nature.com/articles/s41586-019-1060-3"}],"volume":"568","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Cody Routson","contributorId":215395,"corporation":false,"usgs":false,"family":"Cody Routson","affiliations":[{"id":39235,"text":"School of Earth Sciences & Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA","active":true,"usgs":false}],"preferred":false,"id":762236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKay, Nicholas","contributorId":215396,"corporation":false,"usgs":false,"family":"McKay","given":"Nicholas","email":"","affiliations":[{"id":39235,"text":"School of Earth Sciences & Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA","active":true,"usgs":false}],"preferred":false,"id":762237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaufman, Darrell","contributorId":215397,"corporation":false,"usgs":false,"family":"Kaufman","given":"Darrell","affiliations":[{"id":39235,"text":"School of Earth Sciences & Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA","active":true,"usgs":false}],"preferred":false,"id":762238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goosse, Hugues","contributorId":215398,"corporation":false,"usgs":false,"family":"Goosse","given":"Hugues","email":"","affiliations":[{"id":39236,"text":"Université catholique de Louvain, Earth and Life Institute, Georges Lemaître center for Earth and Climate Research, Place Louis Pasteur, 3, Louvain-la-Neuve, Belgium","active":true,"usgs":false}],"preferred":false,"id":762239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bryan Shuman","contributorId":215399,"corporation":false,"usgs":false,"family":"Bryan Shuman","affiliations":[{"id":39237,"text":"Roy J. Shlemon Center for Quaternary Studies, Department of Geology and Geophysics, University of Wyoming, Laramie, Wyoming, 82071, USA
","active":true,"usgs":false}],"preferred":false,"id":762240,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rodysill, Jessica 0000-0002-3602-7227","orcid":"https://orcid.org/0000-0002-3602-7227","contributorId":215394,"corporation":false,"usgs":true,"family":"Rodysill","given":"Jessica","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":762235,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ault, Toby","contributorId":146170,"corporation":false,"usgs":false,"family":"Ault","given":"Toby","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":762241,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70201111,"text":"fs20183079 - 2019 - Laboratory for Infectious Disease and the Environment (LIDE)","interactions":[],"lastModifiedDate":"2019-03-27T14:45:01","indexId":"fs20183079","displayToPublicDate":"2019-03-26T16:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3079","displayTitle":"Laboratory for Infectious Disease and the Environment (LIDE)","title":"Laboratory for Infectious Disease and the Environment (LIDE)","docAbstract":"<p>The Laboratory for Infectious Disease and the Environment (LIDE) studies the occurrence, fate and transport, and health effects of human and agricultural zoonotic pathogens in the environment. The LIDE is an interagency collaborative effort between the U.S. Geological Survey and the U.S. Department of Agriculture-Agricultural Research Service that conducts research to inform decision makers and advance scientific knowledge. The LIDE collaborates with public agencies and academic researchers in partnerships and works cooperatively or independently on all aspects of the research process. The LIDE's laboratory capabilities include quantitative polymerase chain reaction and pathogen culture.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183079","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture - Agricultural Research Service","usgsCitation":"Stokdyk, J.P., Bruce, J.L,, Burch, T.R., Spencer, S.K., Firnstahl, A.D., and Borchardt, M.A., 2019, Laboratory for Infectious Disease and the Environment (LIDE): U.S. Geological Survey Fact Sheet 2018-3079, 4 p., https://doi.org/10.3133/fs20183079.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-089866","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":362321,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3079/fs20183079.pdf","text":"Report","size":"20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3079"},{"id":362320,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3079/coverthb.jpg"}],"country":"United States","state":"Wisconsin","city":"Marshfield","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.24272918701172,\n              44.59780156391225\n            ],\n            [\n              -90.10574340820311,\n              44.59780156391225\n            ],\n            [\n              -90.10574340820311,\n              44.70062975596728\n            ],\n            [\n              -90.24272918701172,\n              44.70062975596728\n            ],\n            [\n              -90.24272918701172,\n              44.59780156391225\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/wisconsin-water-science-center/science/laboratory-infectious-disease-and-environment-lide\" data-mce-href=\"https://www.usgs.gov/centers/wisconsin-water-science-center/science/laboratory-infectious-disease-and-environment-lide\">Laboratory for Infectious Disease and the Environment (LIDE)</a></p><p>Or</p><p><a href=\"https://www.usgs.gov/centers/umid-water  \" data-mce-href=\"https://www.usgs.gov/centers/umid-water\">Upper Midwest Science Center</a><br>U.S. Geological Survey<br>8505 Research Way<br>Middleton, WI 53562</p>","tableOfContents":"<ul><li>Collaborating with LIDE</li><li>Sample Collection and Analysis</li><li>Other LIDE Capabilities</li><li>Examples of the Laboratory for Infectious Disease and the Environment’s (LIDE’s) Research</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2019-03-26","noUsgsAuthors":false,"publicationDate":"2019-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":752709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruce, Jennifer L. 0000-0003-4915-5567 jlbruce@usgs.gov","orcid":"https://orcid.org/0000-0003-4915-5567","contributorId":132,"corporation":false,"usgs":true,"family":"Bruce","given":"Jennifer","email":"jlbruce@usgs.gov","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":752708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":752710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, Susan K.","contributorId":181738,"corporation":false,"usgs":false,"family":"Spencer","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":752711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":752712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":752713,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203221,"text":"70203221 - 2019 - Does perspective matter? A case study comparing Eulerian and Lagrangian estimates of common murre (Uria aalge) distributions","interactions":[],"lastModifiedDate":"2019-04-29T13:49:02","indexId":"70203221","displayToPublicDate":"2019-03-26T13:48:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Does perspective matter? A case study comparing Eulerian and Lagrangian estimates of common murre (Uria aalge) distributions","docAbstract":"Studies estimating species' distributions require information about animal locations in space and time. Location data can be collected using surveys within a predetermined frame of reference (i.e., Eulerian sampling) or from animal‐borne tracking devices (i.e., Lagrangian sampling). Integration of observations obtained from Eulerian and Lagrangian perspectives can provide insights into animal movement and habitat use. However, contemporaneous data from both perspectives are rarely available, making examination of biases associated with each sampling approach difficult. We compared distributions of a mobile seabird observed concurrently from ship, aerial, and satellite tag surveys during May, June, and July 2012 in the northern California Current. We calculated utilization distributions to quantify and compare variability in common murre (Uria aalge) space use and examine how sampling perspective and platform influence observed patterns. Spatial distributions of murres were similar in May, regardless of sampling perspective. Greatest densities occurred in coastal waters off southern Washington and northern Oregon, near large murre colonies and the mouth of the Columbia River. Density distributions of murres estimated from ship and aerial surveys in June and July were similar to those observed in May, whereas distributions of satellite‐tagged murres in June and July indicated northward movement into British Columbia, Canada, resulting in different patterns observed from Eulerian and Lagrangian perspectives. These results suggest that the population of murres observed in the northern California Current during spring and summer includes relatively stationary individuals attending breeding colonies and nonstationary, vagile adults and subadults. Given the expected growth of telemetry studies and advances in survey technology (e.g., unmanned aerial systems), these results highlight the importance of considering methodological approaches, spatial extent, and synopticity of distribution data sets prior to integrating data from different sampling perspectives.","language":"English","publisher":"John Wiley & Sons Ltd.","doi":"10.1002/ece3.5083","usgsCitation":"Phillips, E.M., Horne, J., Zamon, J.E., Felis, J.J., and Adams, J., 2019, Does perspective matter? A case study comparing Eulerian and Lagrangian estimates of common murre (Uria aalge) distributions: Ecology and Evolution, v. 9, no. 8, p. 4805-4819, https://doi.org/10.1002/ece3.5083.","productDescription":"15 p.","startPage":"4805","endPage":"4819","ipdsId":"IP-104177","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467776,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5083","text":"Publisher Index Page"},{"id":363316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.31005859374999,\n              45.96642454131025\n            ],\n            [\n              -122.4755859375,\n              45.96642454131025\n            ],\n            [\n              -122.4755859375,\n              48.56024979174329\n            ],\n            [\n              -125.31005859374999,\n              48.56024979174329\n            ],\n            [\n              -125.31005859374999,\n              45.96642454131025\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"8","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Phillips, Elizabeth M.","contributorId":204681,"corporation":false,"usgs":false,"family":"Phillips","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":761753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horne, John K.","contributorId":204682,"corporation":false,"usgs":false,"family":"Horne","given":"John K.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":761754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zamon, Jeannette E.","contributorId":168453,"corporation":false,"usgs":false,"family":"Zamon","given":"Jeannette","email":"","middleInitial":"E.","affiliations":[{"id":25294,"text":"NOAA/NMFS/NWFSC","active":true,"usgs":false}],"preferred":false,"id":761755,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":761756,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Josh","contributorId":215165,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":761752,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202846,"text":"70202846 - 2019 - Radiometric calibration of a non-imaging airborne spectrometer to measure the Greenland ice sheet surface","interactions":[],"lastModifiedDate":"2019-03-29T11:27:32","indexId":"70202846","displayToPublicDate":"2019-03-26T10:42:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":926,"text":"Atmospheric Measurement Techniques","active":true,"publicationSubtype":{"id":10}},"title":"Radiometric calibration of a non-imaging airborne spectrometer to measure the Greenland ice sheet surface","docAbstract":"<p><span>Methods to radiometrically calibrate a non-imaging airborne visible-to-shortwave infrared (VSWIR) spectrometer to measure the Greenland ice sheet surface are presented. Airborne VSWIR measurement performance for bright Greenland ice and dark bare rock/soil targets is compared against the MODerate resolution atmospheric TRANsmission (MODTRAN</span><sup>®</sup><span>) radiative transfer code (version 6.0), and a coincident Landsat 8 Operational Land Imager (OLI) acquisition on 29&nbsp;July&nbsp;2015 during an in-flight radiometric calibration experiment. Airborne remote sensing flights were carried out in northwestern Greenland in preparation for the Ice, Cloud, and land Elevation Satellite 2 (ICESat-2) laser altimeter mission. A total of nine science flights were conducted over the Greenland ice sheet, sea ice, and open-ocean water. The campaign's primary purpose was to correlate green laser pulse penetration into snow and ice with spectroscopic-derived surface properties. An experimental airborne instrument configuration that included a nadir-viewing (looking downward at the surface) non-imaging Analytical Spectral Devices (ASD) Inc. spectrometer that measured upwelling VSWIR (0.35 to 2.5 </span><span class=\"inline-formula\">µ</span><span>m) spectral radiance (</span><span class=\"inline-formula\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M2&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot; dspmath=&quot;mathml&quot;><mrow class=&quot;unit&quot;><mi mathvariant=&quot;normal&quot;>W</mi><mspace width=&quot;0.125em&quot; linebreak=&quot;nobreak&quot; /><msup><mi mathvariant=&quot;normal&quot;>m</mi><mrow><mo>-</mo><mn mathvariant=&quot;normal&quot;>2</mn></mrow></msup><mspace width=&quot;0.125em&quot; linebreak=&quot;nobreak&quot; /><msup><mi mathvariant=&quot;normal&quot;>sr</mi><mrow><mo>-</mo><mn mathvariant=&quot;normal&quot;>1</mn></mrow></msup><mspace linebreak=&quot;nobreak&quot; width=&quot;0.125em&quot; /><mi mathvariant=&quot;normal&quot;>&amp;#xB5;</mi><msup><mi mathvariant=&quot;normal&quot;>m</mi><mrow><mo>-</mo><mn mathvariant=&quot;normal&quot;>1</mn></mrow></msup></mrow></math>\"><span id=\"M2\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow unit\"><span id=\"MathJax-Span-4\" class=\"mi\">W</span><span id=\"MathJax-Span-5\" class=\"mspace\"></span><span id=\"MathJax-Span-6\" class=\"msup\"><span id=\"MathJax-Span-7\" class=\"mi\">m</span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mo\">−</span><span id=\"MathJax-Span-10\" class=\"mn\">2</span></span></span><span id=\"MathJax-Span-11\" class=\"mspace\"></span><span id=\"MathJax-Span-12\" class=\"msup\"><span id=\"MathJax-Span-13\" class=\"mi\">sr</span><span id=\"MathJax-Span-14\" class=\"mrow\"><span id=\"MathJax-Span-15\" class=\"mo\">−</span><span id=\"MathJax-Span-16\" class=\"mn\">1</span></span></span><span id=\"MathJax-Span-17\" class=\"mspace\"></span><span id=\"MathJax-Span-18\" class=\"mi\">µ</span><span id=\"MathJax-Span-19\" class=\"msup\"><span id=\"MathJax-Span-20\" class=\"mi\">m</span><span id=\"MathJax-Span-21\" class=\"mrow\"><span id=\"MathJax-Span-22\" class=\"mo\">−</span><span id=\"MathJax-Span-23\" class=\"mn\">1</span></span></span></span></span></span></span></span></span><span>) in the two-color Slope Imaging Multi-polarization Photon-Counting Lidar's (SIMPL) ground instantaneous field of view, and a zenith-viewing (looking upward at the sky) ASD spectrometer that measured VSWIR spectral irradiance (W m</span><span class=\"inline-formula\"><sup>−2</sup></span><span> nm</span><span class=\"inline-formula\"><sup>−1</sup></span><span>) was flown. National Institute of Standards and Technology (NIST) traceable radiometric calibration procedures for laboratory, in-flight, and field</span><span id=\"page1914\"></span><span>&nbsp;environments are described in detail to achieve a targeted VSWIR measurement requirement of within 5 % to support calibration/validation efforts and remote sensing algorithm development. Our MODTRAN predictions for the 29&nbsp;July flight line over dark and bright targets indicate that the airborne nadir-viewing spectrometer spectral radiance measurement uncertainty was between 0.6 % and 4.7 % for VSWIR wavelengths (0.4 to 2.0 </span><span class=\"inline-formula\">µ</span><span>m) with atmospheric transmittance greater than 80 %. MODTRAN predictions for Landsat 8 OLI relative spectral response functions suggest that OLI is measuring 6 % to 16 % more top-of-atmosphere (TOA) spectral radiance from the Greenland ice sheet surface than was predicted using apparent reflectance spectra from the nadir-viewing spectrometer. While more investigation is required to convert airborne VSWIR spectral radiance into atmospherically corrected airborne surface reflectance, it is expected that airborne science flight data products will contribute to spectroscopic determination of Greenland ice sheet surface optical properties to improve understanding of their potential influence on ICESat-2 measurements.</span></p>","language":"English","publisher":"Atmospheric Measurement Techniques","doi":"10.5194/amt-12-1913-2019","usgsCitation":"Crawford, C., van den Bosch, J., Brunt, K.M., Hom, M.G., Cooper, J.W., Harding, D.J., Butler, J., Dabney, P.W., Neumann, T.A., Cleckner, C.S., and Markus, T., 2019, Radiometric calibration of a non-imaging airborne spectrometer to measure the Greenland ice sheet surface: Atmospheric Measurement Techniques, v. 12, p. 1913-1933, https://doi.org/10.5194/amt-12-1913-2019.","productDescription":"21 p.","startPage":"1913","endPage":"1933","ipdsId":"IP-105345","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467777,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/amt-12-1913-2019","text":"Publisher Index Page"},{"id":362531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Greenland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.5546875,\n              58.63121664342478\n            ],\n            [\n              -9.84375,\n              58.63121664342478\n            ],\n            [\n              -9.84375,\n              83.82994542398042\n            ],\n            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Bosch","given":"Jeannette","email":"","affiliations":[{"id":39073,"text":"US Air Force Research Lab","active":true,"usgs":false}],"preferred":false,"id":760242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brunt, Kelly M. 0000-0002-6462-6112","orcid":"https://orcid.org/0000-0002-6462-6112","contributorId":214567,"corporation":false,"usgs":false,"family":"Brunt","given":"Kelly","email":"","middleInitial":"M.","affiliations":[{"id":39074,"text":"University of Maryland / NASA","active":true,"usgs":false}],"preferred":true,"id":760243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hom, Milton G.","contributorId":214568,"corporation":false,"usgs":false,"family":"Hom","given":"Milton","email":"","middleInitial":"G.","affiliations":[{"id":39075,"text":"Science Systems and Applications / NASA","active":true,"usgs":false}],"preferred":false,"id":760244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, John W.","contributorId":214569,"corporation":false,"usgs":false,"family":"Cooper","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":39076,"text":"Science Systems and Applications  / NASA","active":true,"usgs":false}],"preferred":false,"id":760245,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harding, David J.","contributorId":214570,"corporation":false,"usgs":false,"family":"Harding","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760246,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Butler, James J.","contributorId":214571,"corporation":false,"usgs":false,"family":"Butler","given":"James J.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760247,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dabney, Philip W.","contributorId":214572,"corporation":false,"usgs":false,"family":"Dabney","given":"Philip","email":"","middleInitial":"W.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760248,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Neumann, Thomas A.","contributorId":214573,"corporation":false,"usgs":false,"family":"Neumann","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760249,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cleckner, Craig S.","contributorId":214574,"corporation":false,"usgs":false,"family":"Cleckner","given":"Craig","email":"","middleInitial":"S.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760250,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Markus, Thorsten","contributorId":214575,"corporation":false,"usgs":false,"family":"Markus","given":"Thorsten","email":"","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760251,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70203999,"text":"70203999 - 2019 - Agricultural chemical concentrations and loads in rivers draining the Central Valley, California: Before, during, and after an extended drought","interactions":[],"lastModifiedDate":"2019-06-28T10:21:37","indexId":"70203999","displayToPublicDate":"2019-03-26T09:38:01","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"17","title":"Agricultural chemical concentrations and loads in rivers draining the Central Valley, California: Before, during, and after an extended drought","docAbstract":"Drought or near drought conditions persisted in California from 2012 through 2016, followed by a high precipitation year in 2017.  Long-term water quality monitoring of two key river stations, the Sacramento River at Freeport and the San Joaquin River near Vernalis, located within the largely agricultural Central Valley, allow for an examination of pesticide concentrations and mass loading.  Daily models were constructed using an estimation procedure that links mean daily streamflow with pesticide concentration monitoring and time.  There were 13 different pesticides and three degradation products modeled, including herbicides, fungicides, and insecticides.  Not all pesticides were detected at each river site.  There were eight pesticides modeled for the Sacramento River and fourteen for the San Joaquin River. Collectively, there were 16 models for these two sites that showed decreasing trends, 5 with increasing, and 1 with no trend.  Mass loads of the modeled compounds increased in 2017 because of the high river discharge.  Most pesticides had measured or modeled concentrations that were below acute and chronic toxicity benchmarks.  One exception was the neonicotinoid insecticide imidacloprid, which had an increasing trend in concentration with levels that exceeded chronic toxicity thresholds for invertebrates, especially after 2015.  The use of some pesticides decreased during this period of time which partly explains the decreasing concentration trends.  However, some pesticides had increased useage but with decreasing river concentration.  The preponderance of negative trends in concentration of most pesticides suggested that lack of rainfall during the drought resulted in less transport from treated fields to the streams.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Pesticides in surface water: Monitoring, modeling, risk assessment, and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/bk-2019-1308.ch017","isbn":"9780841234109","usgsCitation":"Domagalski, J.L., 2019, Agricultural chemical concentrations and loads in rivers draining the Central Valley, California: Before, during, and after an extended drought, chap. 17 <i>of</i> Pesticides in surface water: Monitoring, modeling, risk assessment, and management, v. 1308, p. 333-364, https://doi.org/10.1021/bk-2019-1308.ch017.","productDescription":"32 p.","startPage":"333","endPage":"364","ipdsId":"IP-099113","costCenters":[{"id":154,"text":"California Water Science 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 \"}}]}","volume":"1308","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Domagalski, Joseph L. 0000-0002-6032-757X joed@usgs.gov","orcid":"https://orcid.org/0000-0002-6032-757X","contributorId":1330,"corporation":false,"usgs":true,"family":"Domagalski","given":"Joseph","email":"joed@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765163,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70217865,"text":"70217865 - 2019 - Plant richness and composition in hardwood forest understories vary along an acidic deposition and soil-chemical gradient in the northeastern United States","interactions":[],"lastModifiedDate":"2021-02-08T13:44:49.586893","indexId":"70217865","displayToPublicDate":"2019-03-26T07:40:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"title":"Plant richness and composition in hardwood forest understories vary along an acidic deposition and soil-chemical gradient in the northeastern United States","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\"><strong>Aims</strong></h3><p>A century of atmospheric deposition of sulfur and nitrogen has acidified soils and undermined the health and recruitment of foundational tree species in the northeastern US. However, effects of acidic deposition on the forest understory plant communities of this region are poorly documented. We investigated how forest understory plant species composition and richness varied across gradients of acidic deposition and soil acidity in the Adirondack Mountains of New York State.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We surveyed understory vegetation and soils in hardwood forests on 20 small watersheds and built models of community composition and richness as functions of soil chemistry, nitrogen and sulfur deposition, and other environmental variables.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Community composition varied significantly with gradients of acidic deposition, soil acidity, and base cation availability (63% variance explained). Several species increased with soil acidity while others decreased. Understory plant richness decreased significantly with increasing soil acidity (<i>r</i> = 0.60). The best multivariate regression model to predict richness (<i>p</i> &lt; 0.001, adjusted<i>-R</i><sup><i>2</i></sup> = 0.60) reflected positive effects of pH and carbon-to-nitrogen ratio (C:N).</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>The relationship we found between understory plant communities and a soil-chemical gradient, suggests that soil acidification can reduce diversity and alter the composition of these communities in northern hardwood forests exposed to acidic deposition.</p>","language":"English","publisher":"Springer","doi":"10.1007/s11104-019-04031-y","usgsCitation":"Zarfos, M.R., Dovciak, M., Lawrence, G.B., McDonnell, T.C., and Sullivan, T.J., 2019, Plant richness and composition in hardwood forest understories vary along an acidic deposition and soil-chemical gradient in the northeastern United States: Plant and Soil, v. 438, p. 461-477, https://doi.org/10.1007/s11104-019-04031-y.","productDescription":"17 p.","startPage":"461","endPage":"477","ipdsId":"IP-088565","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":467778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11104-019-04031-y","text":"Publisher Index Page"},{"id":383090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"New York","otherGeospatial":"northeast New York","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.3447265625,\n              44.99588261816546\n            ],\n            [\n              -75.1025390625,\n              44.902577996288876\n            ],\n            [\n              -76.3330078125,\n              44.15068115978094\n            ],\n            [\n              -74.92675781249999,\n              43.739352079154706\n            ],\n            [\n              -74.0478515625,\n              43.42100882994726\n            ],\n            [\n              -73.564453125,\n              43.42100882994726\n            ],\n            [\n              -73.3447265625,\n              44.99588261816546\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"438","noUsgsAuthors":false,"publicationDate":"2019-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Zarfos, Michael R. 0000-0002-2902-4773","orcid":"https://orcid.org/0000-0002-2902-4773","contributorId":196724,"corporation":false,"usgs":false,"family":"Zarfos","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":809971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dovciak, Martin","contributorId":196723,"corporation":false,"usgs":false,"family":"Dovciak","given":"Martin","email":"","affiliations":[],"preferred":false,"id":809972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonnell, Todd C.","contributorId":127622,"corporation":false,"usgs":false,"family":"McDonnell","given":"Todd","email":"","middleInitial":"C.","affiliations":[{"id":7087,"text":"Scientist, E&S Environmental Chemistry Inc, Corvallis OR","active":true,"usgs":false}],"preferred":false,"id":809974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Timothy J.","contributorId":196720,"corporation":false,"usgs":false,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":809975,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203314,"text":"70203314 - 2019 - Methane emissions from groundwater pumping in the USA","interactions":[],"lastModifiedDate":"2019-08-15T12:05:17","indexId":"70203314","displayToPublicDate":"2019-03-25T09:33:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5831,"text":"Climate and Atmospheric Science","active":true,"publicationSubtype":{"id":10}},"title":"Methane emissions from groundwater pumping in the USA","docAbstract":"Atmospheric methane accumulation contributes to climate change, hence quantifying methane emissions is essential to assess and model the impacts. Here we estimate methane emissions from groundwater pumping in the Los Angeles Basin (LAB), north-eastern Pennsylvania, and the Principal aquifers of the USA using the average concentrations of methane in groundwater and annual groundwater pumping volumes. High average methane concentrations, 44.1 mg/L, and extensive groundwater pumping, ~3.1 x 1011 L/a in the LAB, result in the annual emission of ~2.9 x 10-3 Tg of microbial methane. Ethane emissions in the LAB were 3.5 x 10-6 Tg/a. Lower methane emissions estimated for NE Pennsylvania, ~3.0 x 10-8 Tg/a, reflect lower methane concentrations and groundwater pumping, 0.7 mg/L and 4.67 x 107 L/a, respectively. Methane concentrations and groundwater withdrawals, 1.06 x 1014 L, across the USA enabled the estimation of the total emissions of methane from Principal aquifers (92% of total pumping) of 0.044 Tg/a in the year 2000, which represents a small percentage (~0.2%) of the total annual US methane emissions, but a previously unquantified flux in the global methane budget. Globally, groundwater-pumping methane emissions were estimated to be 0.53 Tg/a, 0.2% of global methane emissions, by adopting a global estimate for groundwater extraction, and an average methane concentration in older groundwater of 0.44 mg/L.","language":"English","publisher":"Nature","doi":"10.1038/s41612-019-0068-6","usgsCitation":"Kulongoski, J.T., and McMahon, P.B., 2019, Methane emissions from groundwater pumping in the USA: Climate and Atmospheric Science, v. 2, p. 1-8, https://doi.org/10.1038/s41612-019-0068-6.","productDescription":"11, 8 p.","startPage":"1","endPage":"8","ipdsId":"IP-094126","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":467779,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41612-019-0068-6","text":"Publisher Index Page"},{"id":363527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n          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              46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762103,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}