{"pageNumber":"334","pageRowStart":"8325","pageSize":"25","recordCount":40783,"records":[{"id":70206399,"text":"70206399 - 2019 - Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River fall Chinook Salmon ESU","interactions":[],"lastModifiedDate":"2019-11-04T11:01:15","indexId":"70206399","displayToPublicDate":"2019-04-01T07:05:17","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River fall Chinook Salmon ESU","docAbstract":"The portion of the Snake River fall Chinook Salmon Oncorhynchus tshawytscha ESU that spawns upstream of Lower Granite Dam transitioned from low to high abundance during 1992–2018 in association with U.S. Endangered Species Act recovery efforts and other federally mandated actions. This annual report focuses on (1) numeric and habitat use responses by natural- and hatchery-origin spawners, (2) phenotypic and numeric responses by natural-origin juveniles, and (3) use of a small unmanned aerial system (sUAS) to search for fall Chinook salmon redds and carcasses. Spawners have located and used most of the available spawning habitat and that habitat is gradually approaching redd capacity. Timing of spawning and fry emergence has been relatively stable, but effects of density dependence are evident in juvenile life stages. Apparent abundance of juvenile fall Chinook salmon has increased and we noted the following responses: parr dispersal from riverine rearing habitat into Lower Granite Reservoir has become earlier; growth rate (g/d) and dispersal size of parr declined; and passage timing of smolts from the two Snake River reaches has become earlier and downstream movement rate faster. These findings coupled with stock-recruitment analyses presented in this report provide evidence for density-dependence in the Snake River reaches and in Lower Granite Reservoir that was influenced by the expansion of the recovery program. The long-term goal is to use this information in a comprehensive modeling effort to conduct action-effectiveness and uncertainty research and to inform Fish Population, Hydrosystem, Harvest, Hatchery, and Predation and Invasive Species Management Research, Monitoring, and Evaluation (RM&E).\n\nIn 2018, the U.S. Geological Survey (USGS) searched 10 shallow-water spawning sites and 25 deepwater spawning sites in conjunction with the Idaho Power Company (IPC). A total of 103 redds were counted at shallow-water sites and 61 redds were counted at deepwater sites. We recovered 17 carcasses and 13 live fish, which were spawned out, and collected biological information and tissue samples that are currently being analyzed for parentage to determine the percentage of hatchery-origin spawners on the spawning grounds.","language":"English","publisher":"Bonneville Power Administration","usgsCitation":"Tiffan, K.F., Perry, R., Plumb, J., Hance, D., Bickford, B., and Rhodes, T., 2019, Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River fall Chinook Salmon ESU, iii, 54 p.","productDescription":"iii, 54 p.","ipdsId":"IP-109440","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":368864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368853,"type":{"id":11,"text":"Document"},"url":"https://www.cbfish.org/Document.mvc/DocumentViewer/P166057/79371-1.pdf"}],"country":"United States","state":"Idaho, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.32226562500001,\n              41.80407814427234\n            ],\n            [\n              -111.005859375,\n              41.80407814427234\n            ],\n            [\n              -111.005859375,\n              46.9502622421856\n            ],\n            [\n              -120.32226562500001,\n              46.9502622421856\n            ],\n            [\n              -120.32226562500001,\n              41.80407814427234\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":220176,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220177,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plumb, John 0000-0003-4255-1612","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":220178,"corporation":false,"usgs":true,"family":"Plumb","given":"John","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hance, Dalton 0000-0002-4475-706X","orcid":"https://orcid.org/0000-0002-4475-706X","contributorId":220179,"corporation":false,"usgs":true,"family":"Hance","given":"Dalton","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bickford, Brad 0000-0003-3756-6588","orcid":"https://orcid.org/0000-0003-3756-6588","contributorId":220180,"corporation":false,"usgs":true,"family":"Bickford","given":"Brad","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rhodes, Tobyn 0000-0002-4023-4827","orcid":"https://orcid.org/0000-0002-4023-4827","contributorId":220181,"corporation":false,"usgs":true,"family":"Rhodes","given":"Tobyn","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774405,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70204109,"text":"70204109 - 2019 - Geology of the Mineral and Lake Anna West Quadrangles, Virginia","interactions":[],"lastModifiedDate":"2019-07-10T09:20:59","indexId":"70204109","displayToPublicDate":"2019-03-31T17:04:09","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5845,"text":"Virginia Division of Geology and Mineral Resources Publication","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"189","title":"Geology of the Mineral and Lake Anna West Quadrangles, Virginia","docAbstract":"This map product is a cooperator series publication and, as such, does not have a specific abstract.\n\nGeologic mapping for this map product was completed between 2014 and 2017, with most of the field work occurring between January 2016 and May 2017. Numerous foot traverses were completed along creeks and roads throughout the field area; the shore of Lake Anna was accessed by kayak to provide additional data. Distributions of soil units were considered when assigning bedrock type in areas where outcrop was lacking and helped to distinguish fluvial terrace deposits. Hill-shade raster images created from LiDAR datasets and geophysical data sets proved useful in the field to trace bedrock and surficial units. GPS location control and field data were collected and recorded in digital databases using a variety of geologic mapping applications for an iPad 3rd Gen Model A1403 and Motion C5v tablet using Fieldmove 2013.1.  Structural measurements were also plotted on field maps.  Data collected included lithology and the orientation of foliations, folds, lineations, joints, and faults.  Representative rock samples of significant formations were thin-sectioned for petrographic analysis; a few samples from these and surrounding quadrangles were analyzed for zircon U-Pb geochronology and geochemistry.","language":"English","publisher":"Virginia Department of Mines Minerals and Energy, Division of Geology and Mineral Resources","usgsCitation":"Carter, M.W., Burton, W.C., McAleer, R.J., DiGiacomo-Cohen, M., and Sauer, R.T., 2019, Geology of the Mineral and Lake Anna West Quadrangles, Virginia: Virginia Division of Geology and Mineral Resources Publication 189, Pamphlet: iv, 41 p.; 2 Plates: 37 x 59 and 32 x 47 inches.","productDescription":"Pamphlet: iv, 41 p.; 2 Plates: 37 x 59 and 32 x 47 inches","onlineOnly":"Y","ipdsId":"IP-099519","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":365402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365401,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.dmme.virginia.gov/commerce/ProductDetails.aspx?productID=3026"}],"country":"United States","state":"Virginia","county":"Louisa County, Orange County, Spotsylvania County","otherGeospatial":"Lake Anna Quadrangle, Mineral Quadrangle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.96585083007812,\n              37.93444993515032\n            ],\n            [\n              -77.65960693359375,\n              37.93444993515032\n            ],\n            [\n              -77.65960693359375,\n              38.1334763895322\n            ],\n            [\n              -77.96585083007812,\n              38.1334763895322\n            ],\n            [\n              -77.96585083007812,\n              37.93444993515032\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Mark W. 0000-0003-0460-7638 mcarter@usgs.gov","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":4808,"corporation":false,"usgs":true,"family":"Carter","given":"Mark","email":"mcarter@usgs.gov","middleInitial":"W.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":765553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":765554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","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":765555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DiGiacomo-Cohen, Mary 0000-0003-2384-8912","orcid":"https://orcid.org/0000-0003-2384-8912","contributorId":211592,"corporation":false,"usgs":true,"family":"DiGiacomo-Cohen","given":"Mary","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":765557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sauer, R. Tyler","contributorId":216797,"corporation":false,"usgs":false,"family":"Sauer","given":"R.","email":"","middleInitial":"Tyler","affiliations":[{"id":39519,"text":"C.F. Sauer Company","active":true,"usgs":false}],"preferred":false,"id":765556,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204415,"text":"70204415 - 2019 - A revised continuous surface elevation model for modeling","interactions":[],"lastModifiedDate":"2019-09-20T12:48:37","indexId":"70204415","displayToPublicDate":"2019-03-31T12:48:27","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"title":"A revised continuous surface elevation model for modeling","docAbstract":"A digital elevation model (DEM) is an essential component of any hydrodynamic model. The Delta Modeling Section (Section) has maintained a database of bathymetry soundings and levee surveys for decades and published a 10-meter (10m) DEM for the San Francisco Bay and Sacramento-San Joaquin Delta (Delta) (California Department of Water Resources 2012). In collaboration with the U.S. Geological Survey (USGS) Pacific Coastal and Marine Science Center, the California Department of Water Resources (DWR) has continued to upgrade these DEMs based on newer survey data and improved interpolation methodologies. An updated San Francisco Bay-Delta bathymetric/topographic digital elevation model was published by the USGS (Fregoso, Wang, Ateljevich, and Jaffe 2017). \n\nBoth DWR and USGS continue to work on the elevation models for several reasons. First, high-resolution multibeam bathymetry data continues to become available. A good portion of the newer collections are performed at locations where bathymetry data is lacking, or of poor quality, or where model sensitivity to bathymetry is known to be high, so the effort has a high return on investment. Recent high-resolution multibeam datasets easily support the development of accurate 2-meter (2m) DEMs, although shallow water, turbidity, vegetation, and the gap between the multibeam data and terrestrial data from light detection and ranging (LiDAR) remain vexing issues that fuel development of enhanced techniques. \n\nIn some locations, migration toward 2m resolution models is motivated by geographical structure even where there has been little improvement in the underlying data. DEMs at 10m resolution are insufficient to adequately describe small-scale terrain features, such as levee crests or the main conveyance channel through a narrow reach, such as Middle River. As a result, elevation modelers have traditionally needed to perform feature enforcement for 10m DEMs, but not for the Section’s 2m DEMs which do resolve these features (California Department of Resources 2012). There are several other problems associated with a coarse target resolution, including reduced conveyance and rough contours where channels run oblique to the elevation model. In places where the topography demands a finer elevation model, the Section and others have adopted improved interpolation techniques for single-beam data to produce reasonable 2m DEMs that preserve features on appropriate scales.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Methodology for flow and salinity estimates in the Sacramento-San Joaquin Delta and Suisun Marsh, 39th Annual Progress Report to the State Water Resources Control Board","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"California Department of Water Resources, Bay-Delta Office","usgsCitation":"Wang, R., Ateljevich, E., Fregoso, T.A., and Jaffe, B.E., 2019, A revised continuous surface elevation model for modeling, chap. <i>of</i> Methodology for flow and salinity estimates in the Sacramento-San Joaquin Delta and Suisun Marsh, 39th Annual Progress Report to the State Water Resources Control Board, v. 39, p. 5-1-5-40.","productDescription":"40 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,{"id":70204441,"text":"70204441 - 2019 - Changes in body condition and diet of lotic Smallmouth Bass across two flow regimes during summer months at the southern extent of their native range","interactions":[],"lastModifiedDate":"2019-09-25T09:44:38","indexId":"70204441","displayToPublicDate":"2019-03-31T12:18:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":718,"text":"American Fisheries Society Symposium","active":true,"publicationSubtype":{"id":10}},"title":"Changes in body condition and diet of lotic Smallmouth Bass across two flow regimes during summer months at the southern extent of their native range","docAbstract":"<p>The Ozark Plateau is located at the southern extent of native Smallmouth Bass <i>Micropterus dolomieu</i> range and water temperature and drought conditions during summer months may potentially affect growth of Smallmouth Bass in this region. Groundwater streams in the region do not warm to the same extent as runoff streams during summer months and could provide a thermal refuge habitat for Smallmouth Bass from high summer temperatures and drought conditions. Our study objective was to examine differences in body condition and diet of Small-mouth Bass through summer months between groundwater and runoff streams. We sampled Smallmouth Bass from eight streams across two the flow regimes monthly from June-September from 2014 to 2016 in the Ozark Plateau of Arkansas and Missouri. Relative weights were calculated and diet contents were examined for each fish. Linear mixed model analyses indicated that relative weights declined in both stream types in 2014 and 2015, but not in 2016. Surprisingly, there was no significant difference in change in relative weights between runoff and groundwater streams in any year. No diet shifts over the course of the summer were noted in any year, and no differences were seen between stream types. Our results suggest that further work should investigate the refuge qualities of groundwater streams for Smallmouth Bass in this region as Smallmouth Bass from both stream types may currently respond similarly to summer conditions.. Middaugh, Chris &amp; Magoulick, Daniel. (2019). Changes in Body Condition and Diet of Lotic Smallmouth Bass across Two Flow Regimes during Summer Months at the Southern Extent of Their Native Range. The Ozark Plateau is located at the southern extent of native Smallmouth Bass <i>Micropterus dolomieu</i> range and water temperature and drought conditions during summer months may potentially affect growth of Smallmouth Bass in this region. Groundwater streams in the region do not warm to the same extent as runoff streams during summer months and could provide a thermal refuge habitat for Smallmouth Bass from high summer temperatures and drought conditions. Our study objective was to examine differences in body condition and diet of Small-mouth Bass through summer months between groundwater and runoff streams. We sampled Smallmouth Bass from eight streams across two the flow regimes monthly from June-September from 2014 to 2016 in the Ozark Plateau of Arkansas and Missouri. Relative weights were calculated and diet contents were examined for each fish. Linear mixed model analyses indicated that relative weights declined in both stream types in 2014 and 2015, but not in 2016. Surprisingly, there was no significant difference in change in relative weights between runoff and groundwater streams in any year. No diet shifts over the course of the summer were noted in any year, and no differences were seen between stream types. Our results suggest that further work should investigate the refuge qualities of groundwater streams for Smallmouth Bass in this region as Smallmouth Bass from both stream types may currently respond similarly to summer conditions.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Managing Centrarchid Fisheries in Rivers and Streams","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","isbn":"9781934874523","usgsCitation":"Middaugh, C.R., and Magoulick, D.D., 2019, Changes in body condition and diet of lotic Smallmouth Bass across two flow regimes during summer months at the southern extent of their native range: American Fisheries Society Symposium, v. 87, p. 93-110.","productDescription":"18 p.","startPage":"93","endPage":"110","ipdsId":"IP-083988","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":367606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367605,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/afs-symposia/54087p/"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"Ozark Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.6142578125,\n              34.84085858477277\n            ],\n            [\n              -91.669921875,\n              34.84085858477277\n            ],\n            [\n              -91.669921875,\n              37.21283151445594\n            ],\n            [\n              -94.6142578125,\n              37.21283151445594\n            ],\n            [\n              -94.6142578125,\n              34.84085858477277\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"87","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Middaugh, Christopher R.","contributorId":177019,"corporation":false,"usgs":false,"family":"Middaugh","given":"Christopher","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":771488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","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":766920,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70210717,"text":"70210717 - 2019 - Report of the technical expert workshop: Developing recommendations for field response, captive management, and rehabilitation of sea turtles with fibropapillomatosis","interactions":[],"lastModifiedDate":"2020-06-19T15:36:59.23505","indexId":"70210717","displayToPublicDate":"2019-03-31T10:36:21","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5134,"text":"NOAA Technical Memorandum","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NMFS-OPR-60","title":"Report of the technical expert workshop: Developing recommendations for field response, captive management, and rehabilitation of sea turtles with fibropapillomatosis","docAbstract":"<p>Fibropapillomatosis (FP) is a disease of sea turtles that primarily manifests as tumors of the skin. Strandings of green turtles with this disease have dramatically increased in the Southeast U.S. over the last decade, necessitating a review of various practices related to the capture, handling, and treatment of afflicted turtles. NOAA and USFWS hosted a workshop in St. Petersburg, Florida on September 6, 2017 to seek input on the development of recommendations to address the following key issues regarding green turtles with FP: 1) disposition when encountered under various circumstances (e.g., strandings, research activities, incidental capture, opportunistic observations); 2) rehabilitation and release; 3) response options if rehabilitation capacity is exceeded; and 4) biosecurity measures to prevent anthropogenic spread of the disease. Federal and state resource agency staff and rehabilitation veterinarians were invited to this workshop to provide input for these recommendations. A review of rehabilitation practices and outcome was shared with participants to inform discussions related to rehabilitation and stranding response. Draft recommendations were prepared for the meeting and participants were asked to share their opinions during moderated discussions and via a written feedback instrument. This input was considered and applied to amend the recommendations, which were also peer-reviewed by six additional veterinarians and a stranding biologist with expertise in sea turtles,rehabilitation medicine, and fibropapillomatosis. The intended use for the completed <i>Fibropapillomatosis and Sea Turtles: Recommendations for Field Response, Captive Management, and Rehabilitation </i>is to assist resource agencies with management planning and decisions related to green turtles with FP and to inform relevant aspects of policy, permits, and authorizations under federal and state regulations.</p>","language":"English","publisher":"NOAA","usgsCitation":"Stacy, B., Foley, A.M., Work, T.M., Lauritsen, A., Schroeder, B., Hargrove, S.A., and Keene, J.L., 2019, Report of the technical expert workshop: Developing recommendations for field response, captive management, and rehabilitation of sea turtles with fibropapillomatosis: NOAA Technical Memorandum NMFS-OPR-60, iv, 56 p.","productDescription":"iv, 56 p.","ipdsId":"IP-097192","costCenters":[{"id":456,"text":"National Wildlife Health 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Anne","contributorId":225409,"corporation":false,"usgs":false,"family":"Lauritsen","given":"Anne","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":791092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schroeder, Barbara","contributorId":225410,"corporation":false,"usgs":false,"family":"Schroeder","given":"Barbara","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":791093,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hargrove, Stacy A.","contributorId":190643,"corporation":false,"usgs":false,"family":"Hargrove","given":"Stacy","email":"","middleInitial":"A.","affiliations":[{"id":16685,"text":"National Oceanic and Atmopheric Administration","active":true,"usgs":false}],"preferred":false,"id":791091,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Keene, Jennifer L.","contributorId":225425,"corporation":false,"usgs":false,"family":"Keene","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":791094,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"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              -101.942138671875,\n              38.35888785866677\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2019-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Caldas, Marcellus M.","contributorId":200844,"corporation":false,"usgs":false,"family":"Caldas","given":"Marcellus","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":848494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","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":848493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergtold, Jason 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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","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":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","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":70228106,"text":"70228106 - 2019 - The accuracy of ecological flow metrics derived using a physics-based distributed rainfall-runoff model in the Great Plains, USA","interactions":[],"lastModifiedDate":"2022-02-07T14:40:52.157488","indexId":"70228106","displayToPublicDate":"2019-03-30T14:46:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"The accuracy of ecological flow metrics derived using a physics-based distributed rainfall-runoff model in the Great Plains, USA","docAbstract":"<p><span>The development of a hydrologic foundation, essential for advancing our understanding of flow-ecology relationships, was developed using the high-resolution physics-based distributed rainfall–runoff model V</span><i>flo</i><span>&nbsp;in a semi-arid region. We compared the accuracy and bias associated with flow metrics that were generated using V</span><i>flo</i><span>, gauge data, and drainage area ratios at both a daily and monthly time step in the Canadian River basin, USA. First, we calibrated and applied bias correction to the V</span><i>flo</i><span>&nbsp;model to simulate streamflow at ungauged catchment locations. Next, flow metrics were calculated using simulated and observed data from stream gauge locations. We found discharge predictions using V</span><i>flo</i><span>&nbsp;were more accurate than drainage area ratios. General correspondence between predicted discharge and the gauge data was apparent; however, flow metrics calculated using the V</span><i>flo</i><span>&nbsp;output did not accurately represent flow variability. Results from the V</span><i>flo</i><span>&nbsp;model showed systematic discharge over-predictions in the upper basin and isolated over-predictions in the lower basin, likely due to hail events and sparse rainfall data across the large catchment. Goodness-of-fit statistics (Nash–Sutcliffe efficiency, root-mean square error, and the coefficient of variation) indicated the drainage area ratio and V</span><i>flo</i><span>&nbsp;were more accurate at a monthly rather than daily time step, even after quantile mapping. This finding limits the number of streamflow metrics available to develop ecological models, but more importantly, the coarser resolution may hinder our understanding of ecological processes that occur at a submonthly time step. Our approach provides a framework for selecting flow metrics that best represent hydrologic patterns across a large semi-arid catchment with the necessary accuracy to address the ecological questions of interest.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/eco.2090","usgsCitation":"Worthington, T.A., Brewer, S.K., Viex, B., and Kennen, J., 2019, The accuracy of ecological flow metrics derived using a physics-based distributed rainfall-runoff model in the Great Plains, USA: Ecohydrology, v. 12, no. 5, e2090, 17 p., https://doi.org/10.1002/eco.2090.","productDescription":"e2090, 17 p.","ipdsId":"IP-097660","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Oklahoma, Texas","otherGeospatial":"Canadian River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.447021484375,\n              34.615126683462194\n            ],\n            [\n              -95.00976562499999,\n              34.615126683462194\n            ],\n            [\n              -95.00976562499999,\n              35.39800594715108\n            ],\n            [\n              -104.447021484375,\n              35.39800594715108\n            ],\n            [\n              -104.447021484375,\n              34.615126683462194\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Worthington, Thomas A.","contributorId":140662,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":833135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Viex, Baxter","contributorId":274567,"corporation":false,"usgs":false,"family":"Viex","given":"Baxter","email":"","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":833136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833137,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203415,"text":"70203415 - 2019 - Factors controlling landslide frequency-area distributions","interactions":[],"lastModifiedDate":"2019-05-14T13:39:44","indexId":"70203415","displayToPublicDate":"2019-03-30T13:38:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Factors controlling landslide frequency-area distributions","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>A power‐law relation for the frequency–area distribution (FAD) of medium and large landslides (e.g. tens to millions of square meters) has been observed by numerous authors. But the FAD of small landslides diverges from the power‐law distribution, with a rollover point below which frequencies decrease for smaller landslides. Some studies conclude that this divergence is an artifact of unmapped small landslides due to lack of spatial or temporal resolution; others posit that it is caused by the change in the underlying failure process. An explanation for this dilemma is essential both to evaluate the factors controlling FADs of landslides and power‐law scaling, which is a crucial factor regarding both landscape evolution and landslide hazard assessment. This study examines the FADs of 45 earthquake‐induced landslide inventories from around the world in the context of the proposed explanations. We show that each inventory probably involves some combination of the proposed explanations, though not all explanations contribute to each case. We propose an alternative explanation to understand the reason for the divergence from a power‐law. We suggest that the geometry of a landslide at the time of mapping reflects not just one single movement but many, including the propagation of numerous smaller landslides before and after the main failure. Because only the resulting combination of these landslides can be observed due to a lack of temporal resolution, many smaller landslides are not taken into account in the inventory. This reveals that the divergence from the power‐law is not necessarily attributed to the incompleteness of an inventory. This conceptual model will need to be validated by ongoing observation and analysis. Also, we show that because of the subjectivity of mapping procedures, the total number of landslides and total landslide areas in inventories differ significantly, and therefore the shapes of FADs also differ considerably.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/esp.4543","usgsCitation":"Tanyas, H., van Westen, C.J., Allstadt, K.E., and Jibson, R.W., 2019, Factors controlling landslide frequency-area distributions: Earth Surface Processes and Landforms, v. 44, no. 4, p. 900-917, https://doi.org/10.1002/esp.4543.","productDescription":"18 p.","startPage":"900","endPage":"917","ipdsId":"IP-101359","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467758,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.4543","text":"Publisher Index Page"},{"id":363784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363723,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1002/esp.4543"}],"volume":"44","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Tanyas, Hakan","contributorId":215531,"corporation":false,"usgs":false,"family":"Tanyas","given":"Hakan","email":"","affiliations":[{"id":39272,"text":"University of Twente","active":true,"usgs":false}],"preferred":false,"id":762598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Westen, Cees J.","contributorId":196188,"corporation":false,"usgs":false,"family":"van Westen","given":"Cees","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":762599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":762600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762601,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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":70202853,"text":"70202853 - 2019 - Lakes as paleoseismic records in a seismically-active, low-relief area (Rieti Basin, central Italy)","interactions":[],"lastModifiedDate":"2019-06-18T11:14:23","indexId":"70202853","displayToPublicDate":"2019-03-29T09:47:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Lakes as paleoseismic records in a seismically-active, low-relief area (Rieti Basin, central Italy)","docAbstract":"Small lakes in low relief areas are atypical candidates for studies on paleoseismicity, but their sediments can contain seismically induced event layers (seismites) generated through strong ground shaking, sediment transport, hydrological reorganization and/or changes in groundwater chemistry and flow. Lakes Lungo and Ripasottile are shallow lakes (<10m deep) located in the tectonically active Rieti Basin in the central Apennines, Italy, where strong normal faulting earthquakes (Mw 6.5 to 7.0) regularly occur. Sediment cores from these lakes provide paleoseismic indicators for the past ~1000 years. Sedimentological and geochemical analysis reveals four event layers identified in both lakes that correspond with documented large-scale earthquakes in 1298, 1349, 1639, and 1703 AD. Chronological correlation between earthquakes and possible seismites is reliable because of the unusually high resolution of sediment dating available for the studied cores. The common physical structure is a physically homogenous bed (homogenite) of re-suspended sediment consisting of a denser, high magnetic susceptibility (MS) clastic base, with organic matter concentrated above. Chemical signatures are associated with some event layers and may represent abrupt or transient shifts to a groundwater-dominated system, or permanent changes in groundwater flow and/or spring discharge. Excursions in δ13Corg may represent disruptions or changes in carbon source. Not all event layers show the same features, a result attributed to differences in seismic processes as well as the lake attributes, and anthropogenic modification. The observations made here may provide a new means of detecting paleoseismicity and may be applied to other low relief lakes in seismically active areas.","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2019.03.004","usgsCitation":"Archer, C., Noble, P., Rosen, M.R., Sagnotti, L., Fiorindo, F., Piovesan, G., Mensing, S., and Michetti, A., 2019, Lakes as paleoseismic records in a seismically-active, low-relief area (Rieti Basin, central Italy): Quaternary Science Reviews, v. 211, p. 186-207, https://doi.org/10.1016/j.quascirev.2019.03.004.","productDescription":"22 p.","startPage":"186","endPage":"207","ipdsId":"IP-098465","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467762,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2019.03.004","text":"Publisher Index Page"},{"id":362567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Rieti Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              12.677536010742188,\n              42.30727643850873\n            ],\n            [\n              13.454132080078125,\n              42.30727643850873\n            ],\n            [\n              13.454132080078125,\n              42.628906895633456\n            ],\n            [\n              12.677536010742188,\n              42.628906895633456\n            ],\n            [\n              12.677536010742188,\n              42.30727643850873\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"211","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Archer, Claire","contributorId":198952,"corporation":false,"usgs":false,"family":"Archer","given":"Claire","email":"","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":760267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noble, Paula","contributorId":198953,"corporation":false,"usgs":false,"family":"Noble","given":"Paula","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":760268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sagnotti, Leonardo","contributorId":214577,"corporation":false,"usgs":false,"family":"Sagnotti","given":"Leonardo","email":"","affiliations":[{"id":39077,"text":"National Institute of Geophysics and Volcanology; Rome, Italy","active":true,"usgs":false}],"preferred":false,"id":760269,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fiorindo, Fabio","contributorId":214578,"corporation":false,"usgs":false,"family":"Fiorindo","given":"Fabio","email":"","affiliations":[{"id":39077,"text":"National Institute of Geophysics and Volcanology; Rome, Italy","active":true,"usgs":false}],"preferred":false,"id":760270,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piovesan, Gianluca","contributorId":198957,"corporation":false,"usgs":false,"family":"Piovesan","given":"Gianluca","email":"","affiliations":[{"id":35390,"text":"Tuscia University","active":true,"usgs":false}],"preferred":false,"id":760271,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mensing, Scott","contributorId":198958,"corporation":false,"usgs":false,"family":"Mensing","given":"Scott","affiliations":[{"id":33212,"text":"Department of Geography, University of NV","active":true,"usgs":false}],"preferred":false,"id":760273,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Michetti, Alessandro 0000-0002-1775-1340","orcid":"https://orcid.org/0000-0002-1775-1340","contributorId":206792,"corporation":false,"usgs":false,"family":"Michetti","given":"Alessandro","email":"","affiliations":[{"id":37402,"text":"Università degli Studi dell’Insubria","active":true,"usgs":false}],"preferred":false,"id":760272,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"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":70251808,"text":"70251808 - 2019 - Igneous rocks in the Fish Creek Mountains and environs, Battle Mountain area, north-central Nevada:  A microcosm of Cenozoic igneous activity in the northern Great Basin, Basin and Range Province, USA","interactions":[],"lastModifiedDate":"2024-02-29T14:30:00.503943","indexId":"70251808","displayToPublicDate":"2019-03-29T08:15:51","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14252,"text":"Earth Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Igneous rocks in the Fish Creek Mountains and environs, Battle Mountain area, north-central Nevada:  A microcosm of Cenozoic igneous activity in the northern Great Basin, Basin and Range Province, USA","docAbstract":"<p id=\"sp0280\"><span>The Great Basin of the western United States, the northern component of the Basin and Range Province, is a region of Cenozoic lithospheric extension with multiple periods and types of igneous activity. The composition and volume of Cenozoic&nbsp;magmas&nbsp;reflect a complex interaction between mantle-derived magmas and highly diverse crust, where both&nbsp;mantle sources&nbsp;and magmatic processes were modulated by tectonic environment. The Fish Creek Mountains in north-central Nevada underwent multiple igneous events ranging from ca. 40 Ma to 1 Ma that span all of the complex Cenozoic tectono-magmatic episodes of the Great Basin. The Fish Creek Mountains, therefore, is an ideal location to evaluate the different sources and processes involved in&nbsp;magma generation. Many plutons were emplaced in the region between about 40 and 38 Ma, several of which host base and precious metal deposits. Between 36 and 33 Ma, lava fields and calderas of the 37–19 Ma Ignimbrite Flare-up were emplaced. Both these and the preceding plutons resulted from southwestward rollback of the Farallon plate beneath North America during by far the most voluminous phase of Cenozoic&nbsp;magmatism. The lavas range from rare&nbsp;basalt&nbsp;and basaltic&nbsp;andesite&nbsp;to andesite,&nbsp;dacite, and&nbsp;rhyolite, have continental arc-like incompatible element patterns, and high initial&nbsp;</span><sup>87</sup>Sr/<sup>86</sup>Sr and low εNd that require a metasomatized lithospheric mantle source combined with minor crustal component. Ignimbrites of the 34.4 Ma Cove Mine (trachydacite to rhyolite) and 34.0 Ma Caetano calderas (rhyolite to high-silica rhyolite) are abundantly porphyritic, include hydrous phases, were largely derived from partial melts of crustal rocks, but likely include 20–30% of a mantle-derived component.</p><p id=\"sp0285\">Igneous activity ceased in the region as the rollback-arc migrated to the southwest, but at 24.9 Ma a new caldera formed in the southern Fish Creek Mountains that was filled by ignimbrites of the Fish Creek Mountains Tuff. Intracaldera rhyolite ignimbrites range from aphyric, pumice-rich deposits at the base to progressively more quartz-feldspar phyric ignimbrites at higher levels; all flow units lack hydrous phases. No contemporaneous mafic or intermediate igneous activity accompanied caldera formation, but initial<span>&nbsp;</span><sup>87</sup>Sr/<sup>86</sup>Sr values in the Fish Creek Mountains tuffs are lower than in the Caetano Tuff, suggesting a greater mantle contribution to the 24.9 Ma ignimbrites.</p><p id=\"sp0290\">After another hiatus in igneous activity, the region was intruded and overlain by basalt to rhyolite dykes and lavas of the northern Nevada rift between 16.8 and 15.1 Ma. The primarily tholeiitic igneous suite is of the same age, chemistry, and<span>&nbsp;</span>isotopic composition<span>&nbsp;as the Grande Ronde Formation of the Columbia River&nbsp;flood basalts, and evolved members (trachydacite and rhyolite) are crustally contaminated. The youngest northern Nevada rift lava is an alkali olivine basalt with isotopic affinity to basalts of the eastern Snake&nbsp;River Plain.</span></p><p id=\"sp0295\"><span>After 10 Ma of quiescence, the region was locally covered by mafic&nbsp;lava flows&nbsp;with high-alumina olivine&nbsp;tholeiite&nbsp;compositions, represented by the 5.4 Ma Pumpernickel Valley flows. Their mid-ocean ridge-like incompatible element compositions indicate a depleted mantle source for the lavas, but radiogenic isotopic compositions indicate that the lavas of this region include a significant contribution from a mafic to ultramafic, high-</span><sup>87</sup>Sr/<sup>86</sup>Sr source.</p><p id=\"sp0300\"><span>The final igneous event in the Fish Creek Mountains region, the 4.0 to 1.0 Ma Buffalo Valley volcanic field, includes flows and spatter cones of transitional to alkalic basalt that are divided into two geochemical groups with identical isotopic compositions. They represent variable, low percent partial melts of the&nbsp;asthenosphere&nbsp;at different depths, yielding different&nbsp;rare earth element&nbsp;characteristics. Similar to the&nbsp;</span>Lunar Crater<span>&nbsp;</span>volcanic field, the Buffalo Valley rocks represent a rare case where the lithosphere in the central Great Basin is now thin enough to allow melting of the underlying asthenosphere.</p><p id=\"sp0305\">Cenozoic magmatism in the northern Great Basin exhibits several transitions in magma sources and<span>&nbsp;</span>tectonic setting<span>&nbsp;</span>with time. Magmatism began as pre-extension, subduction-related, primarily lithospherically-derived magmas emplaced on/in tectonically-thickened crust. The onset of extension was partially driven by impingement of the Yellowstone plume that resulted in emplacement of rift-related volcanic and intrusive rocks in the northern Nevada rift, followed by the eruption of extension-related HAOT lavas along the northwest margin of the Great Basin. Finally, lithospheric thinning allowed for partial melting of the asthenosphere and eruption of alkaline basaltic lavas.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2019.03.013","usgsCitation":"Cousens, B.L., Henry, C., Stevens, C., Varve, S., John, D.A., and Wetmore, S., 2019, Igneous rocks in the Fish Creek Mountains and environs, Battle Mountain area, north-central Nevada:  A microcosm of Cenozoic igneous activity in the northern Great Basin, Basin and Range Province, USA: Earth Science Reviews, v. 192, p. 403-444, https://doi.org/10.1016/j.earscirev.2019.03.013.","productDescription":"42 p.","startPage":"403","endPage":"444","ipdsId":"IP-106227","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467764,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.earscirev.2019.03.013","text":"Publisher Index Page"},{"id":426126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Fish Creek Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.47697929230347,\n              40.28016235329471\n            ],\n            [\n              -117.47697929230347,\n              40.07291126292276\n            ],\n            [\n              -117.18999422148758,\n              40.07291126292276\n            ],\n            [\n              -117.18999422148758,\n              40.28016235329471\n            ],\n            [\n              -117.47697929230347,\n              40.28016235329471\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"192","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cousens, Brian L. 0000-0002-9704-6974","orcid":"https://orcid.org/0000-0002-9704-6974","contributorId":242801,"corporation":false,"usgs":false,"family":"Cousens","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":895636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henry, Christopher D.","contributorId":36556,"corporation":false,"usgs":true,"family":"Henry","given":"Christopher D.","affiliations":[],"preferred":false,"id":895637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stevens, Christopher","contributorId":334440,"corporation":false,"usgs":false,"family":"Stevens","given":"Christopher","email":"","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":895638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Varve, Susan","contributorId":334441,"corporation":false,"usgs":false,"family":"Varve","given":"Susan","email":"","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":895639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":895640,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wetmore, Stacey","contributorId":334442,"corporation":false,"usgs":false,"family":"Wetmore","given":"Stacey","email":"","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":895641,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70204108,"text":"70204108 - 2019 - Emerging investigator series: Atmospheric cycling of indium in the northeastern United States","interactions":[],"lastModifiedDate":"2019-07-05T16:44:46","indexId":"70204108","displayToPublicDate":"2019-03-28T16:35:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1566,"text":"Environmental Science: Processes and Impacts","active":true,"publicationSubtype":{"id":10}},"title":"Emerging investigator series: Atmospheric cycling of indium in the northeastern United States","docAbstract":"<p><span>Indium is critical to the global economy and is used in an increasing number of electronics and new energy technologies. However, little is known about its environmental behavior or impacts, including its concentrations or cycling in the atmosphere. This study determined indium concentrations in air particulate matter at five locations across the northeastern United States over the course of one year, in 1995. Historical records from a Massachusetts bog core showed that indium atmospheric concentrations in this region changed only modestly between 1995 and 2010. Atmospheric indium concentrations varied significantly both geographically and temporally, with average concentrations in PM</span><small><sub>3</sub></small><span>&nbsp;of 2.1 ± 1.6 pg m</span><small><sup>−3</sup></small><span>&nbsp;(1 standard deviation), and average particle-normalized concentrations of 0.2 ± 0.2 μg In per g PM</span><small><sub>3</sub></small><span>. Peaks in the particle-normalized concentrations in two New York sites were correlated with wind direction; air coming from the north contributed higher concentrations of indium than air coming from the west. This correlation, along with measurements of indium in zinc smelter emissions and coal fly ash, suggests that indium in the atmosphere in the northeastern United States comes from a relatively constant low-level input from coal combustion in the midwest, and higher but more sporadic contributions from the smelting of lead, zinc, copper, tin, and nickel north of the New York sample sites. Understanding the industrial sources of indium to the atmosphere and how they compare with natural sources can lead to a better understanding of the impact of human activities on the indium cycle, and may help to establish a baseline for monitoring future impacts as indium use grows.</span></p>","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/c8em00485d","usgsCitation":"White, S.J., and Hemond, H.F., 2019, Emerging investigator series: Atmospheric cycling of indium in the northeastern United States: Environmental Science: Processes and Impacts, v. 21, no. 4, p. 623-634, https://doi.org/10.1039/c8em00485d.","productDescription":"12 p.","startPage":"623","endPage":"634","ipdsId":"IP-104440","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":365317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, New York","city":"Boston, Brockport, Reading, Rochester, Thoreau's Bog","otherGeospatial":"Quabbin Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.31054687499999,\n              42.89206418807337\n            ],\n            [\n              -77.18994140625,\n              42.89206418807337\n            ],\n            [\n              -77.18994140625,\n              43.389081939117496\n            ],\n            [\n              -78.31054687499999,\n              43.389081939117496\n            ],\n            [\n              -78.31054687499999,\n              42.89206418807337\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.4658203125,\n              42.049292638686836\n            ],\n            [\n              -71.015625,\n              42.049292638686836\n            ],\n            [\n              -71.015625,\n              42.68243539838623\n            ],\n            [\n              -72.4658203125,\n              42.68243539838623\n            ],\n            [\n              -72.4658203125,\n              42.049292638686836\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, Sarah Jane 0000-0002-4055-8207","orcid":"https://orcid.org/0000-0002-4055-8207","contributorId":216796,"corporation":false,"usgs":true,"family":"White","given":"Sarah","email":"","middleInitial":"Jane","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hemond, Harold F.","contributorId":34673,"corporation":false,"usgs":false,"family":"Hemond","given":"Harold","email":"","middleInitial":"F.","affiliations":[{"id":13299,"text":"Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":765552,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70202018,"text":"sim3424 - 2019 - Geology of the Hardeeville NW Quadrangle and parts of the Brighton and Pineland Quadrangles, Jasper County, South Carolina","interactions":[],"lastModifiedDate":"2019-10-04T12:54:40","indexId":"sim3424","displayToPublicDate":"2019-03-28T14:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3424","displayTitle":"Geology of the Hardeeville NW Quadrangle and Parts of the Brighton and Pineland Quadrangles, Jasper County, South Carolina","title":"Geology of the Hardeeville NW Quadrangle and parts of the Brighton and Pineland Quadrangles, Jasper County, South Carolina","docAbstract":"<h1>Introduction</h1><p>This publication portrays the geology of the Hardeeville NW quadrangle and parts of the Brighton and Pineland quadrangles that are within Jasper County, South Carolina. The study area is located in the Atlantic Coastal Plain province, approximately 50 to 70 kilometers (km) inland from the coast. The data are compiled from geological field mapping, light detection and ranging (lidar) elevation data, cores, optically stimulated luminescence ages, radiocarbon ages, and biostratigraphic interpretations. Most of the study area is occupied by the valley of the Savannah River, and exposures of geologic units are very limited. Traditional geologic mapping in this area is difficult because of limited access, subdued topography, extensive swamps, and abundant vegetation.</p><p>The Savannah River flows predominantly southeast, and forms most of the border between the States of South Carolina and Georgia. The river is approximately 483 km long and has a total drainage area of approximately 15,850 square km. Although upstream tributaries drain the southeastern side of the Appalachian Blue Ridge province, the Savannah River begins in the Piedmont province and then flows across the Atlantic Coastal Plain province to the Atlantic Ocean. For much of its extent, the modern channel of the Savannah River is located on the southwestern side of the river valley, and the southwestern bank of the valley is the active cut bank. Within the study area, the valley of the Savannah River trends southeast and is relatively straight. The valley has relatively low relief, although the southwestern valley wall is steeper and has greater relief than the northeastern valley wall.</p><p>Elevations within the valley mostly range from 3 to 15 meters (m) above sea level, whereas elevations on the high terrace that forms the eastern margin of the Savannah River valley are 15 to 20 m above sea level. The width of the valley is 6 to 7 km in the northern part of the study area and expands to 10 to 12 km farther south. The modern river channel occupies the southwestern side of the valley, and some modern (active) creeks enter the river from the west. Sand hills and low-relief terraces are present to the east of the modern river channel, and the eastern side of the valley is characterized by abandoned meandering and linear channels. Fan-shaped deposits of sand and mud are present where relict (inactive) channels enter the eastern side of the valley. Abandoned meandering channels of low relief (&lt;3 m) are also present to the east on the high terrace (&gt;15 m elevation) that forms the eastern margin of the Savannah River valley. Within the study area, most of the Savannah River valley is covered by alluvial wetland community vegetation dominated by cypress and tupelo trees, although sand hills within the valley are covered by xeric sand community vegetation dominated by pine trees.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3424","usgsCitation":"Swezey, C.S., Schultz, A.P., Doar, W.R., III, Garrity, C.P., Bernhardt, C.E., Crider, E.A., Jr., Edwards, L.E., and McGeehin, J.P., 2019, Geology of the Hardeeville NW quadrangle and parts of the Brighton and Pineland quadrangles, Jasper County, South Carolina: U.S. Geological Survey Scientific Investigations Map 3424, 2 sheets, scale 1:24,000, https://doi.org/10.3133/sim3424.","productDescription":"2 Sheets: 51.79 x 40.25 inches and 32.20 x 40.22 inches; Companion File; Database; XML Metadata","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-040734","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":361223,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3424/metadata/sim3424_fgdc.xml","text":"XML Metadata","size":"37.3 KB xml"},{"id":361056,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3424/sim3424_sheet1.pdf","text":"Sheet 1 ","size":"185 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Geologic Map and Lidar Shaded-Relief Map"},{"id":361057,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3424/sim3424_sheet2.pdf","text":"Sheet 2","size":"6.95 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Cross Sections, Stratigraphic Descriptions from Cores, Optically Stimulated Luminescence and Radiocarbon Ages, and Dinoflagellate Biostratigraphic Interpretations"},{"id":361055,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3424/coverthb2.jpg"},{"id":361222,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3424/metadata/sim3424.gdb.zip","size":"1.44 MB","linkFileType":{"id":6,"text":"zip"}}],"country":"United States","state":"South Carolina","county":"Jasper County","otherGeospatial":"Brighton Quadrangle, Pineland Quadrangle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.14295959472656,\n              32.146257633327764\n            ],\n            [\n              -81.1007308959961,\n              32.146257633327764\n            ],\n            [\n              -81.1007308959961,\n              32.222967176706305\n            ],\n            [\n              -81.14295959472656,\n              32.222967176706305\n            ],\n            [\n              -81.14295959472656,\n              32.146257633327764\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/fbgc\" data-mce-href=\"https://www.usgs.gov/centers/fbgc\">Florence Bascom Geoscience Center</a><br>U.S. Geological Survey<br>926A National Center<br>12201 Sunrise Valley Drive<br>Reston, VA</p>","tableOfContents":"<ul><li>Description of Map Units (Sheet 1)</li><li>Explanation of Map Symbols (Sheet 1)</li><li>Introduction (Sheet 2)</li><li>Previous Work (Sheet 2)</li><li>Summary of Map Units (Sheet 2)</li><li>Discussion (Sheet 2)</li><li>Acknowledgments (Sheet 2)</li><li>References Cited (Sheet 2)</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-03-28","noUsgsAuthors":false,"publicationDate":"2019-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Swezey, Christopher S. 0000-0003-4019-9264 cswezey@usgs.gov","orcid":"https://orcid.org/0000-0003-4019-9264","contributorId":173033,"corporation":false,"usgs":true,"family":"Swezey","given":"Christopher","email":"cswezey@usgs.gov","middleInitial":"S.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":756708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schultz, Arthur P.","contributorId":212837,"corporation":false,"usgs":false,"family":"Schultz","given":"Arthur P.","affiliations":[],"preferred":false,"id":756710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doar, William R. III","contributorId":212838,"corporation":false,"usgs":false,"family":"Doar","given":"William R.","suffix":"III","affiliations":[{"id":38690,"text":"South Carolina Geological Survey","active":true,"usgs":false}],"preferred":false,"id":756713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garrity, Christopher P. 0000-0002-5565-1818 cgarrity@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-1818","contributorId":644,"corporation":false,"usgs":true,"family":"Garrity","given":"Christopher","email":"cgarrity@usgs.gov","middleInitial":"P.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":756712,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bernhardt, Christopher E. 0000-0003-0082-4731 cbernhardt@usgs.gov","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":2131,"corporation":false,"usgs":true,"family":"Bernhardt","given":"Christopher","email":"cbernhardt@usgs.gov","middleInitial":"E.","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":756711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crider,, E. Allen Jr. 0000-0003-2393-5290 ecrider@usgs.gov","orcid":"https://orcid.org/0000-0003-2393-5290","contributorId":203507,"corporation":false,"usgs":true,"family":"Crider,","given":"E. Allen","suffix":"Jr.","email":"ecrider@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":756715,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Edwards, Lucy E. 0000-0003-4075-3317 leedward@usgs.gov","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":2647,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","email":"leedward@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":756709,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGeehin, John P. 0000-0002-5320-6091","orcid":"https://orcid.org/0000-0002-5320-6091","contributorId":212839,"corporation":false,"usgs":true,"family":"McGeehin","given":"John P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":756714,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70215600,"text":"70215600 - 2019 - Sea level rise in the Samoan Islands escalated by viscoelastic relaxation after the 2009 Samoa‐Tonga earthquake","interactions":[],"lastModifiedDate":"2020-12-07T18:01:51.73507","indexId":"70215600","displayToPublicDate":"2019-03-28T13:49:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Sea level rise in the Samoan Islands escalated by viscoelastic relaxation after the 2009 Samoa‐Tonga earthquake","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The Samoan islands are an archipelago hosting a quarter million people mostly residing in three major islands, Savai'i and Upolu (Samoa), and Tutuila (American Samoa). The islands have experienced sea level rise by 2–3&nbsp;mm/year during the last half century. The rate, however, has dramatically increased following the<span>&nbsp;</span><i>M</i><sub><i>w</i></sub><span>&nbsp;</span>8.1 Samoa‐Tonga earthquake doublet (megathrust + normal faulting) in September 2009. Since the earthquake, we found large‐scale gravity increase (0.5&nbsp;<span>μ</span>Gal/year) around the islands and ongoing subsidence (8–16&nbsp;mm/year) of the islands from our analysis of Gravity Recovery And Climate Experiment gravity and GPS displacement data. The postseismic horizontal displacement is faster in Samoa, while the postseismic subsidence rate is considerably larger in American Samoa. The analysis of local tide gauge records and satellite altimeter data also identified that the relative sea level rise becomes faster by 7–9&nbsp;mm/year in American Samoa than Samoa. A simple viscoelastic model with a Maxwell viscosity of 2–3<span>×</span>10<sup>18</sup>&nbsp;Pa&nbsp;s for the asthenosphere explained postseismic deformation at nearby GPS sites as well as Gravity Recovery And Climate Experiment gravity change. It is found that the constructive interference of viscoelastic relaxation from both megathrust and normal faulting has intensified the postseismic subsidence at American Samoa, causing ~5 times faster sea level rise than the global average. Our model indicates that this trend is likely to continue for decades and result in sea level rise of 30–40&nbsp;cm, which is independent of and in addition to anticipated climate‐related sea level rise. It will worsen coastal flooding on the islands leading to regular nuisance flooding.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB017110","usgsCitation":"Han, S., Sauber, J., Pollitz, F., and Ray, R., 2019, Sea level rise in the Samoan Islands escalated by viscoelastic relaxation after the 2009 Samoa‐Tonga earthquake: Journal of Geophysical Research, v. 124, no. 4, p. 4142-4156, https://doi.org/10.1029/2018JB017110.","productDescription":"15 p.","startPage":"4142","endPage":"4156","ipdsId":"IP-102463","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":460427,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb017110","text":"Publisher Index Page"},{"id":379730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Samoa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -173.375244140625,\n              -14.275030445572792\n            ],\n            [\n              -171.134033203125,\n              -14.275030445572792\n            ],\n            [\n              -171.134033203125,\n              -13.186468107797188\n            ],\n            [\n              -173.375244140625,\n              -13.186468107797188\n            ],\n            [\n              -173.375244140625,\n              -14.275030445572792\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Han, Shin-Chan","contributorId":243990,"corporation":false,"usgs":false,"family":"Han","given":"Shin-Chan","email":"","affiliations":[{"id":48785,"text":"University of Newcastle, Australia","active":true,"usgs":false}],"preferred":false,"id":802942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauber, Jeanne","contributorId":243991,"corporation":false,"usgs":false,"family":"Sauber","given":"Jeanne","affiliations":[{"id":40052,"text":"NASA Goddard","active":true,"usgs":false}],"preferred":false,"id":802943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":802944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ray, Richard","contributorId":243992,"corporation":false,"usgs":false,"family":"Ray","given":"Richard","affiliations":[{"id":40052,"text":"NASA Goddard","active":true,"usgs":false}],"preferred":false,"id":802945,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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":70208513,"text":"70208513 - 2019 - The MTPy software package for magnetotelluric data analysis and visualisation","interactions":[],"lastModifiedDate":"2020-02-14T06:32:50","indexId":"70208513","displayToPublicDate":"2019-03-28T09:03:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5929,"text":"Journal of Open Source Software","active":true,"publicationSubtype":{"id":10}},"title":"The MTPy software package for magnetotelluric data analysis and visualisation","docAbstract":"The magnetotelluric (MT) method is increasingly being applied to a wide variety of geoscience\nproblems. However, the software available for MT data analysis and interpretation\nis still very limited in comparison to many of the more mature geophysical methods such\nas the gravity, magnetic or seismic reflection methods. MTPy is an open source Python package to assist with MT data processing, analysis, modelling, visualization and interpretation. It was initiated at the University of Adelaide in 2013 as a means to store and share Python code amongst the MT community (Krieger & Peacock, 2014). Here we provide an overview of the software and describe recent developments to MTPy. These include new functionality and a clean up and standardization\nof the source code, as well as the addition of an integrated testing suite, documentation,\nand examples in order to facilitate the use of MT in the wider geophysics community.","language":"English","publisher":"NumFOCUS","doi":"10.21105/joss.01358","usgsCitation":"Kirkby, A., Zhang, F., Peacock, J., Hassan, R., and Duan, J., 2019, The MTPy software package for magnetotelluric data analysis and visualisation: Journal of Open Source Software, v. 4, no. 35, p. 1358-1364, https://doi.org/10.21105/joss.01358.","productDescription":"7 p.","startPage":"1358","endPage":"1364","ipdsId":"IP-106292","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467768,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21105/joss.01358","text":"Publisher Index Page"},{"id":372313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"35","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kirkby, Alison 0000-0003-1361-440X","orcid":"https://orcid.org/0000-0003-1361-440X","contributorId":222461,"corporation":false,"usgs":false,"family":"Kirkby","given":"Alison","email":"","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":782210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Fei","contributorId":222462,"corporation":false,"usgs":false,"family":"Zhang","given":"Fei","email":"","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":782211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":782209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hassan, Rakib","contributorId":222463,"corporation":false,"usgs":false,"family":"Hassan","given":"Rakib","email":"","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":782212,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duan, Jingming","contributorId":222464,"corporation":false,"usgs":false,"family":"Duan","given":"Jingming","email":"","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":782270,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"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":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":762390,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204988,"text":"70204988 - 2019 - Persistence of intense, climate-driven runoff late in Mars history","interactions":[],"lastModifiedDate":"2019-09-03T08:08:08","indexId":"70204988","displayToPublicDate":"2019-03-27T11:33:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Persistence of intense, climate-driven runoff late in Mars history","docAbstract":"<p><span>Mars is dry today, but numerous precipitation-fed paleo-rivers are found across the planet’s surface. These rivers’ existence is a challenge to models of planetary climate evolution. We report results indicating that, for a given catchment area, rivers on Mars were wider than rivers on Earth today. We use the scale (width and wavelength) of Mars paleo-rivers as a proxy for past runoff production. Using multiple methods, we infer that intense runoff production of &gt;(3–20) kg/m</span><sup>2</sup><span>&nbsp;per day persisted until &lt;3 billion years (Ga) ago and probably &lt;1 Ga ago, and was globally distributed. Therefore, the intense runoff production inferred from the results of the Mars Science Laboratory rover was not a short-lived or local anomaly. Rather, precipitation-fed runoff production was globally distributed, was intense, and persisted intermittently over &gt;1 Ga. Our improved history of Mars’ river runoff places new constraints on the unknown mechanism that caused wet climates on Mars.</span></p>","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.aav7710","usgsCitation":"Kite, E.S., Mayer, D., Wilson, S., Davis, J.M., Lucas, A.S., and Stucky de Quay, G., 2019, Persistence of intense, climate-driven runoff late in Mars history: Science Advances, v. 5, no. 3, eaav7710, 8 p., https://doi.org/10.1126/sciadv.aav7710.","productDescription":"eaav7710, 8 p.","ipdsId":"IP-106199","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":467774,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.aav7710","text":"Publisher Index Page"},{"id":367006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kite, Edwin S. 0000-0002-1426-1186","orcid":"https://orcid.org/0000-0002-1426-1186","contributorId":218512,"corporation":false,"usgs":false,"family":"Kite","given":"Edwin","email":"","middleInitial":"S.","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":769456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayer, David 0000-0001-8351-1807","orcid":"https://orcid.org/0000-0001-8351-1807","contributorId":215429,"corporation":false,"usgs":true,"family":"Mayer","given":"David","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":769455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Sharon A.","contributorId":211099,"corporation":false,"usgs":false,"family":"Wilson","given":"Sharon A.","affiliations":[{"id":24731,"text":"Center for Earth and Planetary Studies, National Air and Space Museum, Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":769457,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Joel M.","contributorId":218593,"corporation":false,"usgs":false,"family":"Davis","given":"Joel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":769458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lucas, Antoine S. 0000-0003-2192-4416","orcid":"https://orcid.org/0000-0003-2192-4416","contributorId":218514,"corporation":false,"usgs":false,"family":"Lucas","given":"Antoine","email":"","middleInitial":"S.","affiliations":[{"id":37956,"text":"Centre National de la Recherche Scientifique","active":true,"usgs":false}],"preferred":false,"id":769459,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stucky de Quay, Gaia","contributorId":218515,"corporation":false,"usgs":false,"family":"Stucky de Quay","given":"Gaia","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":769460,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"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":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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,{"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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,{"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}]}}
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