{"pageNumber":"296","pageRowStart":"7375","pageSize":"25","recordCount":46700,"records":[{"id":70211832,"text":"70211832 - 2019 - Pallid sturgeon basin-wide contaminants assessment","interactions":[],"lastModifiedDate":"2020-08-11T13:05:54.353761","indexId":"70211832","displayToPublicDate":"2019-03-31T08:49:17","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Pallid sturgeon basin-wide contaminants assessment","docAbstract":"<p>Pallid sturgeon (Scaphirhynchus albus), listed as endangered in 1990 under the federal Endangered Species Act (United States Fish and Wildlife Service (USFWS), 1990), have declined due to habitat loss, commercial fishing, and hybridization. Pollution in the Missouri and Mississippi Rivers has to-date only received minor attention as a factor in the on-going decline of wild pallid sturgeon populations (Jacobson et al. 2016a; Bergman 2008). Pallid sturgeon experts and contaminant specialists conceived of the Pallid Sturgeon Basin-Wide Contaminants Assessment (Assessment) to identify potentially harmful contaminants (contaminants of concern), their distribution within pallid sturgeon habitat, and their effects on pallid sturgeon at the landscape level. Extant water quality and analytical chemistry data from samples of river water, sediment, and sturgeon tissues from past studies, assessments, or monitoring activities throughout the species’ range were used to establish a list of contaminants. The list includes: metal and non-metal elements, pesticides, organic industrial chemicals, hormones, nutrients, and other potential water quality contaminants. Environmental samples collected from January 1, 2001 through December 31, 2014, when available, were used for all evaluations. </p><p>This report is effectively a screening level hazard assessment whereby contituents of concern that may pose a potential harm to pallid sturgeon have been identified. These constituents of concern warrant further examination to determine the level of risk they pose to pallid sturgeon. The Assessment process was one of comparing the existing environmental data for individual constituents to reference values for adverse effects on fish specifically or aquatic life generally. The product of the Assessment is a simplified summary that is geographically organized by pallid sturgeon management unit that generally categorizes each individual contaminant or water quality constituent according to operationally defined levels of concern. This hazard assessment identifies potential constituents of concern to pallid sturgeon and may support prioritization for future data collection and research to enable a quantitative risk assessment. </p><p>Regional data density at spatial and temporal scales notwithstanding, the Assessment points to some generalities in contaminant concerns within and across management units. Metals but not pesticides are the predominant contaminant of concern in the Great Plains Management Unit (GPMU). In the Central Lowlands Management Unit (CLMU), selenium exceeds benchmark levels. Triazine herbicides are potentially of concern in all but the GPMU. Concentrations of legacy contaminants such as PCBs and DDT and its metabolites exceeded benchmarks in samples from the CLMU, Interior Highlands Mangement Unit (IHMU), and Coastal Plains Management Unit (CPMU), but local and national trends indicate environmental levels of these contaminants continue to decline. Observed concentrations of nutrients and indicators of nutrient pollution were above benchmark levels throughout the pallid sturgeon’s range; however, the significance for pallid sturgeon health specifically is unknown. Almost no information exists on contemporary contaminants of concern such as the natural and synthetic estrogens (estradiol, ethinyl estradiol, and estrone) or polybrominated diphenyls (PBDEs).</p><p>There are considerable informational data gaps for contaminants throughout the species’ range. Water quality measurements were the most frequent data encountered whereas, sediment and tissue data were orders of magnitude less frequent. The paucity of sediment and tissue concentrations, particularly the latter, prevents any meaningful conclusions regarding adverse effects of these contaminants on the growth and reproduction of pallid sturgeon. However, the Assessment could form the basis for regional workshops with subject matter specialists to develop plans to evaluate the contaminants most likely to affect pallid sturgeon health.</p>","language":"English","publisher":"The Pallid Sturgeon Recovery Program","collaboration":"U.S. Fish and Wildlife Service; Missouri Department of Conservation","usgsCitation":"Webb, M.A., Papoulias, D., Rouse, D., Alexander, S., Annis, M., Coffey, M., Johnson, K., Kenney, A., McKee, M., Mena, L., Nelson, K., and Schwarz, M., 2019, Pallid sturgeon basin-wide contaminants assessment, 105 p.","productDescription":"105 p.","ipdsId":"IP-086535","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":377270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":377190,"type":{"id":15,"text":"Index 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H.","affiliations":[{"id":18870,"text":"Bozeman Fish Technology Center, U.S. Fish and Wildlife Service, Bozeman, Montana 59715","active":true,"usgs":false}],"preferred":false,"id":795280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Papoulias, Diana 0000-0002-5106-2469","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":201959,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":795281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rouse, David","contributorId":237776,"corporation":false,"usgs":false,"family":"Rouse","given":"David","email":"","affiliations":[{"id":47608,"text":"USFWS, Montana Ecological Services Field Office","active":true,"usgs":false}],"preferred":false,"id":795282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Steve","contributorId":237777,"corporation":false,"usgs":false,"family":"Alexander","given":"Steve","email":"","affiliations":[{"id":47609,"text":"USFWS, Tennessee Ecological Services Field Office","active":true,"usgs":false}],"preferred":false,"id":795283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Annis, Mandy L.","contributorId":237778,"corporation":false,"usgs":false,"family":"Annis","given":"Mandy L.","affiliations":[{"id":47610,"text":"U.S. Fish and Wildlife Service, Michigan Ecological Services Field Office","active":true,"usgs":false}],"preferred":false,"id":795284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coffey, Michael","contributorId":237779,"corporation":false,"usgs":false,"family":"Coffey","given":"Michael","email":"","affiliations":[{"id":47611,"text":"USFWS, Illinois Ecological Services Field Office","active":true,"usgs":false}],"preferred":false,"id":795285,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Kevin","contributorId":181825,"corporation":false,"usgs":false,"family":"Johnson","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":795286,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kenney, Aleshia","contributorId":237780,"corporation":false,"usgs":false,"family":"Kenney","given":"Aleshia","email":"","affiliations":[{"id":47611,"text":"USFWS, Illinois Ecological Services Field Office","active":true,"usgs":false}],"preferred":false,"id":795287,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McKee, Mike","contributorId":237781,"corporation":false,"usgs":false,"family":"McKee","given":"Mike","email":"","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":795288,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mena, Lourdes","contributorId":237782,"corporation":false,"usgs":false,"family":"Mena","given":"Lourdes","affiliations":[{"id":47612,"text":"USFWS, Nebraska Ecological Services Field Office","active":true,"usgs":false}],"preferred":false,"id":795289,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nelson, Karen","contributorId":237783,"corporation":false,"usgs":false,"family":"Nelson","given":"Karen","affiliations":[{"id":47608,"text":"USFWS, Montana Ecological Services Field Office","active":true,"usgs":false}],"preferred":false,"id":795290,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schwarz, Matt","contributorId":237784,"corporation":false,"usgs":false,"family":"Schwarz","given":"Matt","affiliations":[{"id":47613,"text":"USFWS, South Dakota Ecological Services Field Office","active":true,"usgs":false}],"preferred":false,"id":795291,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"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":70203389,"text":"70203389 - 2019 - Syn-collisional exhumation of hot middle crust in the Adirondack Mountains (New York, USA): Implications for extensional orogenesis in the southern Grenville province","interactions":[],"lastModifiedDate":"2019-05-10T14:55:03","indexId":"70203389","displayToPublicDate":"2019-03-29T14:44:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Syn-collisional exhumation of hot middle crust in the Adirondack Mountains (New York, USA): Implications for extensional orogenesis in the southern Grenville province","docAbstract":"Extensional deformation in the lower to middle continental crust is increasingly\nrecognized and shown to have significant impact on crustal architecture, magma\nemplacement, fluid flow, and ore deposits. Application of the concept of extensional\nstrain to ancient orogenic systems, like the Grenville province of eastern North\nAmerica, has helped decipher the structural evolution of these regions. The Marcy\nmassif is a ~3000 km2 Mesoproterozoic anorthosite batholith in the Adirondack\nMountains (New York, USA) of the southern Grenville province. Bedrock geology\nmapping at 1:24,000 scale paired with characterization of bedrock exposed by recent\nlandslides provides a glimpse into the structural architecture of the massif and\nits margin. New data demonstrate granulite- to amphibolite-facies deformational\nfabrics parallel the margin of the batholith, and that the Marcy massif is draped by\na southeast-directed detachment zone. Within the massif, strain is localized into\nmutually offsetting conjugate shear zones with antithetic kinematic indicators.\nThese relationships indicate that strain was coaxial within the Marcy massif, and\nthat subsimple shear components of strain were partitioned along its margin. In\nsitu U–Th–total Pb monazite analysis shows that deformation around and over the\nMarcy massif occurred from 1070 to 1060 Ma during granulite-facies metamorphism,\nand monazite from all samples record evidence for fluid-mediated dissolution reprecipitation\nfrom 1050 to 980 Ma. We interpret that rocks cooled isobarically after accretionary\norogenesis and emplacement of the anorthosite- mangerite- charnockitegranite\nplutonic suite at ca. 1160–1140 Ma. Gravitational collapse during the Ottawan\nphase of the Grenville orogeny initiated along a southeast-directed detachment\nzone (Marcy massif detachment zone), which accommodated intrusion of the Lyon\nMountain Granite Gneiss, and facilitated substantial fluid flow that catalyzed the\nformation of major ore deposits in the Adirondack Highlands.","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02029.1","usgsCitation":"Regan, S., Walsh, G.J., Williams, M.L., Chiarenzelli, J.R., Toft, M.E., and McAleer, R.J., 2019, Syn-collisional exhumation of hot middle crust in the Adirondack Mountains (New York, USA): Implications for extensional orogenesis in the southern Grenville province: Geosphere, v. 15, p. 1-22, https://doi.org/10.1130/GES02029.1.","productDescription":"22 p.","startPage":"1","endPage":"22","ipdsId":"IP-097058","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":467760,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02029.1","text":"Publisher Index Page"},{"id":363690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Mountains","volume":"15","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Regan, Sean 0000-0002-8445-5138","orcid":"https://orcid.org/0000-0002-8445-5138","contributorId":215494,"corporation":false,"usgs":true,"family":"Regan","given":"Sean","email":"","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":762484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":762485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Michael L.","contributorId":215495,"corporation":false,"usgs":false,"family":"Williams","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":762486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chiarenzelli, Jeffrey R.","contributorId":215496,"corporation":false,"usgs":false,"family":"Chiarenzelli","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[{"id":39266,"text":"St. Lawrence University","active":true,"usgs":false}],"preferred":false,"id":762487,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toft, Megan E.","contributorId":215497,"corporation":false,"usgs":false,"family":"Toft","given":"Megan","email":"","middleInitial":"E.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":762488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":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":762489,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70202836,"text":"ds1111 - 2019 - Digital database of the geologic map of the middle east rift geothermal subzone, Kīlauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2019-09-16T13:52:35","indexId":"ds1111","displayToPublicDate":"2019-03-29T12:27:18","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1111","displayTitle":"Digital Database of the Geologic Map of the Middle East Rift Geothermal Subzone, Kīlauea Volcano, Hawai‘i","title":"Digital database of the geologic map of the middle east rift geothermal subzone, Kīlauea Volcano, Hawai‘i","docAbstract":"<p>This database release contains all the information used to produce Geologic Investigations Series I-2614 (<a data-mce-href=\"https://pubs.usgs.gov/imap/2614/\" href=\"https://pubs.usgs.gov/imap/2614/\" target=\"_blank\" rel=\"noopener\">https://pubs.usgs.gov/imap/2614/</a>). The main component of this digital release is a geodatabase prepared using ArcGIS, but Esri shapefiles are included as well.</p><p>Kīlauea is an active shield volcano in the southeastern part of the Island of Hawai‘i. The middle East Rift Zone (MERZ) map includes about 27 square kilometers of the MERZ and shows the distribution of the products of 34 separate eruptions during late Holocene time. Lava flows erupted during 1983–86 have reached the mapped area. The subaerial part of the MERZ is 3–4 km wide and about 18 km long. It is a constructional ridge, 50–150 m above the adjoining terrain, marked by low spatter ramparts and cones as high as 60 m. Lava typically flowed either northeast or southeast, depending on vent location relative to the topographic crest of the rift zone. The MERZ receives more than 100 inches of rainfall annually and is covered by tropical rain forest. Vegetation begins to grow on lava a few months after its eruption. Relative heights of trees can be a guide to relative ages of underlying lava flows, but proximity to faults, presence of easily weathered cinders, and human activity also affect the rate of growth. The rocks have been grouped into five basic age groups. The framework for the ages assigned is provided by eight radiocarbon ages from nearby mapping by the authors and a single date from within this investigation area. The numerical ages are supplemented by observations of stratigraphic relations, degree of weathering, soil development, and vegetative cover.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1111","usgsCitation":"Zoeller, M.H., Trusdell, F.A., and Moore, R.B., 2019, Digital database of the geologic map of the middle east rift geothermal subzone, Kīlauea Volcano, Hawai'i: U.S. Geological Survey Data Series 1111, scale 1:24,000, https://doi.org/10.3133/ds1111.","productDescription":"Database; Metadata; Read Me","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-101940","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":362530,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/imap/2614/","text":"Geologic Investigations Series I-2614"},{"id":362524,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1111/coverthb.jpg"},{"id":362525,"rank":2,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/1111/readme.txt","size":"5 KB","linkFileType":{"id":2,"text":"txt"},"description":"Data Series 1111 Readme"},{"id":362528,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/ds/1111/Database.zip","text":"ZIP","size":"2 MB","description":"Data Series 1111 Database Zip","linkHelpText":" - Zip file containing all database files"},{"id":362529,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/1111/Metadata.zip","text":"ZIP","size":"583 KB","description":"Data Series 1111 Metadata Zip","linkHelpText":" - Zip file containing all metadata files"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea volcano middle East Rift Zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -154.996477,\n              19.403433\n            ],\n            [\n              -154.996477,\n              19.463472\n            ],\n            [\n              -155.072903,\n              19.463472\n            ],\n            [\n              -155.072903,\n              19.403433\n            ],\n            [\n              -154.996477,\n              19.403433\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://hvo.wr.usgs.gov/observatory/contactHVO.html\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://hvo.wr.usgs.gov/observatory/contactHVO.html\">Contact HVO</a><br><a href=\"https://hvo.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://hvo.wr.usgs.gov/\">Volcano Science Center, Hawaiian Volcano Observatory</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>P.O. Box 51, 1 Crater Rim Road<br>Hawaiʻi Volcanoes National Park, HI 96718-0051</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-03-29","noUsgsAuthors":false,"publicationDate":"2019-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Zoeller, Michael H. 0000-0003-4716-8567","orcid":"https://orcid.org/0000-0003-4716-8567","contributorId":214557,"corporation":false,"usgs":true,"family":"Zoeller","given":"Michael","email":"","middleInitial":"H.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":760195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trusdell, Frank A. 0000-0002-0681-0528 trusdell@usgs.gov","orcid":"https://orcid.org/0000-0002-0681-0528","contributorId":754,"corporation":false,"usgs":true,"family":"Trusdell","given":"Frank A.","email":"trusdell@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":760196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Richard B.","contributorId":214558,"corporation":false,"usgs":false,"family":"Moore","given":"Richard B.","affiliations":[],"preferred":false,"id":760197,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203439,"text":"70203439 - 2019 - Mercury exposure and altered parental nesting behavior in a wild songbird","interactions":[],"lastModifiedDate":"2019-05-14T12:22:09","indexId":"70203439","displayToPublicDate":"2019-03-29T12:21:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Mercury exposure and altered parental nesting behavior in a wild songbird","docAbstract":"Methylmercury is a neurotoxin and endocrine disruptor and may impair avian reproduction directly through embryotoxicity or by altering parental care behaviors. We studied mercury exposure and incubation behavior of free-living tree swallows (Tachycineta bicolor) nesting in artificial nest boxes. Using small temperature dataloggers, we measured incubation constancy (the proportion of each day the female spent incubating eggs), the number of incubation recesses taken per day, and the duration of incubation recesses. We also assessed maternal mercury exposure by measuring mercury concentrations in both blood and eggs. Females with higher mercury concentrations exhibited lower incubation constancy, took more frequent and shorter incubation recesses, and were more likely to take incubation recesses that caused nest temperature decreases that were likely to slow embryonic development. Overall, females that laid eggs with the highest observed mercury concentration (0.53 μg/g fww) spent an average of 12% less time incubating their eggs over the 14-day incubation period than females that laid eggs with the lowest mercury concentration (0.07 μg/g fww). Because less time spent incubating can lower egg temperatures, slow embryonic development, and potentially lengthen the incubation period, these results suggest that environmentally relevant mercury concentrations may negatively influence reproduction by altering parental nesting behaviors of wild songbirds","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.8b07227","usgsCitation":"Hartman, C.A., Ackerman, J., and Herzog, M.P., 2019, Mercury exposure and altered parental nesting behavior in a wild songbird: Environmental Science & Technology, v. 53, no. 9, p. 5396-5405, https://doi.org/10.1021/acs.est.8b07227.","productDescription":"10 p.","startPage":"5396","endPage":"5405","ipdsId":"IP-106328","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":437521,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90QU56J","text":"USGS data release","linkHelpText":"Incubation Constancy, Number of Incubation Recesses, Recess Duration and Mercury Concentrations for Tree Swallows at the Cosumnes River Preserve 2014"},{"id":363773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"9","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":762709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762711,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70215875,"text":"70215875 - 2019 - Influence of fire refugia spatial pattern on post-fire forest recovery in Oregon’s Blue Mountains","interactions":[],"lastModifiedDate":"2020-10-30T16:46:07.529639","indexId":"70215875","displayToPublicDate":"2019-03-29T11:37:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Influence of fire refugia spatial pattern on post-fire forest recovery in Oregon’s Blue Mountains","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Context</h3><p>Fire regimes in many dry forests of western North America are substantially different from historical conditions, and there is concern about the ability of these forests to recover following severe wildfire. Fire refugia, unburned or low-severity burned patches where trees survived fire, may serve as essential propagule sources that enable forest regeneration.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Objectives</h3><p>To quantify the influence of fire refugia spatial pattern and other biophysical factors on the process of post-fire tree regeneration; in particular examining both the proximity and density of surrounding refugia to characterize the landscape of refugial seed sources.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We surveyed regeneration at 135 sites in stand-replacement patches across a gradient of fire refugia density in eastern Oregon, USA. We characterized the influence of refugial seed source pattern and other environmental factors on the abundance of regenerating seedlings, and examined the relationship between post-fire climate and the temporal pattern of ponderosa pine seedling establishment.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Tree seedlings&nbsp;were present in 83% of plots 12–17&nbsp;years post-fire, and densities varied substantially (0–67800 stems ha<sup>−1</sup>, median = 1100). Variation in seedling abundance was driven by the spatial patterns of refugial seed sources. Despite widespread post-fire shrub cover, high-severity burned forests have not undergone a persistent type conversion to shrublands. Ponderosa pine seedling establishment peaked 5–11&nbsp;years after fire and was not closely associated with post-fire climate.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Fire refugia and the seed sources they contain fostered tree regeneration in severely burned patches. Management practices that reduce refugia within post-fire landscapes may negatively influence essential forest recovery processes.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10980-019-00802-1","usgsCitation":"Downing, W.M., Krawchuk, M.A., Meigs, G.W., Haire, S.L., Coop, J.D., Walker, R., Whitman, E., Chong, G.W., and Miller, C., 2019, Influence of fire refugia spatial pattern on post-fire forest recovery in Oregon’s Blue Mountains: Landscape Ecology, v. 34, p. 771-792, https://doi.org/10.1007/s10980-019-00802-1.","productDescription":"22 p.","startPage":"771","endPage":"792","ipdsId":"IP-101236","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":379977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Northeastern Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.5751953125,\n              44.308126684886126\n            ],\n            [\n              -116.71874999999999,\n              44.308126684886126\n            ],\n            [\n              -116.71874999999999,\n              45.79816953017265\n            ],\n            [\n              -119.5751953125,\n              45.79816953017265\n            ],\n            [\n              -119.5751953125,\n              44.308126684886126\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","noUsgsAuthors":false,"publicationDate":"2019-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Downing, William M 0000-0001-8843-7642","orcid":"https://orcid.org/0000-0001-8843-7642","contributorId":244245,"corporation":false,"usgs":false,"family":"Downing","given":"William","email":"","middleInitial":"M","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":803571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krawchuk, Meg A.","contributorId":187425,"corporation":false,"usgs":false,"family":"Krawchuk","given":"Meg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":803572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meigs, Garrett W","contributorId":244246,"corporation":false,"usgs":false,"family":"Meigs","given":"Garrett","email":"","middleInitial":"W","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":803573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haire, Sandra L. 0000-0002-5356-7567","orcid":"https://orcid.org/0000-0002-5356-7567","contributorId":213971,"corporation":false,"usgs":false,"family":"Haire","given":"Sandra","email":"","middleInitial":"L.","affiliations":[{"id":32362,"text":"Haire Laboratory for Landscape Ecology","active":true,"usgs":false}],"preferred":false,"id":803574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coop, Jonathan D.","contributorId":187427,"corporation":false,"usgs":false,"family":"Coop","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":803575,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walker, Ryan B","contributorId":244247,"corporation":false,"usgs":false,"family":"Walker","given":"Ryan B","affiliations":[{"id":6693,"text":"Western State Colorado University","active":true,"usgs":false}],"preferred":false,"id":803576,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whitman, Ellen","contributorId":225737,"corporation":false,"usgs":false,"family":"Whitman","given":"Ellen","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":803577,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chong, Geneva W. 0000-0003-3883-5153 geneva_chong@usgs.gov","orcid":"https://orcid.org/0000-0003-3883-5153","contributorId":419,"corporation":false,"usgs":true,"family":"Chong","given":"Geneva","email":"geneva_chong@usgs.gov","middleInitial":"W.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":803578,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller, Carol","contributorId":187430,"corporation":false,"usgs":false,"family":"Miller","given":"Carol","email":"","affiliations":[],"preferred":false,"id":803579,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"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":70202838,"text":"70202838 - 2019 - HyCReWW: A hybrid coral reef wave and water level metamodel","interactions":[],"lastModifiedDate":"2019-03-28T15:20:55","indexId":"70202838","displayToPublicDate":"2019-03-28T15:19:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"HyCReWW: A hybrid coral reef wave and water level metamodel","docAbstract":"Wave-induced flooding is a major coastal hazard on tropical islands fronted by coral reefs. The variability of shape, size, and physical characteristics of the reefs across the globe make it difficult to obtain a parameterization of wave run-up, which is needed for risk assessments. Therefore, we developed the HyCReWW metamodel to predict wave run-up under a wide range of reef morphometric and offshore forcing characteristics. Due to the complexity and high dimensionality of the problem, we assumed an idealized one-dimensional reef profile, characterized by seven primary parameters. XBeach Non-Hydrostatic was chosen to create the synthetic dataset, and Radial Basis Functions implemented in MATLAB® were chosen for interpolation. Results demonstrate the applicability of the metamodel to obtain fast and accurate results of wave run-up for a large range of intrinsic reef morphologic and extrinsic hydrodynamic forcing parameters, offering a useful tool for risk management and early warning systems.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2019.03.004","usgsCitation":"Rueda, A.C., Cagigal, L., Pearson, S., Antolínez, J., Storlazzi, C.D., van Dongeren, A., Camus, P., and Mendez, F.J., 2019, HyCReWW: A hybrid coral reef wave and water level metamodel: Computers & Geosciences, v. 127, p. 85-90, https://doi.org/10.1016/j.cageo.2019.03.004.","productDescription":"6 p.","startPage":"85","endPage":"90","ipdsId":"IP-094659","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467766,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cageo.2019.03.004","text":"Publisher Index Page"},{"id":437524,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SX6CFQ","text":"USGS data release","linkHelpText":"HyCReWW database: A hybrid coral reef wave and water level metamodel"},{"id":362512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rueda, Ana C.","contributorId":177511,"corporation":false,"usgs":false,"family":"Rueda","given":"Ana","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":760208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cagigal, Laura","contributorId":214560,"corporation":false,"usgs":false,"family":"Cagigal","given":"Laura","affiliations":[{"id":39072,"text":"U.Cantabria","active":true,"usgs":false}],"preferred":false,"id":760209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearson, Stuart","contributorId":193835,"corporation":false,"usgs":false,"family":"Pearson","given":"Stuart","affiliations":[],"preferred":false,"id":760210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Antolínez, Jose","contributorId":214561,"corporation":false,"usgs":false,"family":"Antolínez","given":"Jose","affiliations":[{"id":39072,"text":"U.Cantabria","active":true,"usgs":false}],"preferred":false,"id":760211,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":760207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Dongeren, Ap","contributorId":149002,"corporation":false,"usgs":false,"family":"van Dongeren","given":"Ap","email":"","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":760212,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Camus, Paula","contributorId":177512,"corporation":false,"usgs":false,"family":"Camus","given":"Paula","email":"","affiliations":[],"preferred":false,"id":760213,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mendez, Fernando J.","contributorId":177514,"corporation":false,"usgs":false,"family":"Mendez","given":"Fernando","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":760214,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":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":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate 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. 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,{"id":70202454,"text":"ofr20191021 - 2019 - Establishing molecular methods to quantitatively profile gastric diet items of fish—Application to the invasive blue catfish (ictalurus furcatus)","interactions":[],"lastModifiedDate":"2024-03-04T19:12:51.081104","indexId":"ofr20191021","displayToPublicDate":"2019-03-28T11:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1021","displayTitle":"Establishing Molecular Methods to Quantitatively Profile Gastric Diet Items of Fish—Application to the Invasive Blue Catfish (<i>Ictalurus furcatus</i>)","title":"Establishing molecular methods to quantitatively profile gastric diet items of fish—Application to the invasive blue catfish (ictalurus furcatus)","docAbstract":"<p>Understanding the diet of invasive species helps researchers to more accurately assess the health, survivorship, growth, and stability of an invasive fish species, as well as their effects on native populations. Techniques capable of identifying multiple prey species from fish stomach contents have been developed. In this study, a multi-locus metabarcoding approach was used to identify fish and invertebrate prey in stomach samples of <i>Ictalurus furcatus</i> (blue catfish), which were collected from two sites on the Mattawomen Creek and Nanjemoy Creek in Maryland.</p><p>The mitochondrial 12S (mt12S) and mitochondrial 16S (mt16S) gene regions were sequenced and compared. First, a mock sample for each gene region was created with the pooled polymerase chain reaction product of known fish species, and quantities of the sample were used to determine efficacy of the amplicon. Results varied between gene regions analyzed. Then, when using the mt12S primers, next-generation sequencing determined that nine fish species were found at levels greater than 1 percent of the diet of blue catfish. The most common species were <i>Perca flavescens</i> (yellow perch) and <i>Cyprinus carpio</i> (common carp). The mt16S gene region analyses found 10 fish species at greater than 1 percent of the diet, which primarily included <i>Orconectes limosus</i> (spinycheek crayfish), <i>Alosa pseudoharengus</i> (alewife), and yellow perch. Partially digested eggs were identified using next-generation sequencing of yellow perch in two of the stomach samples, and a TaqMan® quantitative polymerase chain reaction (qPCR) assay was developed to more economically identify egg species in the future.</p><p>The yellow-perch-specific TaqMan® qPCR assay was tested using primers that were developed to detect a 154-base-pair amplicon in the mitochondrial control region. Consumption of yellow perch eggs indicates that blue catfish could potentially negatively affect young-of-year recruitment of this native sportfish. Analyses of two gene regions helped confirm the major prey of the fish sampled and allowed identification of fish species as prey that were not included in a database for the two gene regions. We concluded that the mitochondrial ribosomal-marker-based next-generation sequencing method is useful in determining the prey of fish species.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191021","usgsCitation":"Iwanowicz, D.D., Schill, W.B., Sanders, L.R., Groves, T., and Groves, M.C., 2019, Establishing molecular methods to quantitatively profile gastric diet items of fish—Application to the invasive blue catfish (<i>Ictalurus furcatus</i>): U.S. Geological Survey Open-File Report 2019–1021, 15 p., https://doi.org/10.3133/ofr20191021.","productDescription":"Report: vii, 15 p.; Appendix","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-103768","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":362344,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1021/ofr20191021.pdf","text":"Report","size":"1.89 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1021"},{"id":362345,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1021/ofr20191021_appendix.pdf","size":"660 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":362343,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1021/coverthb2.jpg"}],"country":"United States","otherGeospatial":"Potomac River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.26272583007812,\n              38.396029684120315\n            ],\n            [\n              -77.12059020996094,\n              38.396029684120315\n            ],\n            [\n              -77.12059020996094,\n              38.634036452919226\n            ],\n            [\n              -77.26272583007812,\n              38.634036452919226\n            ],\n            [\n              -77.26272583007812,\n              38.396029684120315\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>11649 Leetown Road<br>Kearneysville, WV 25430</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>References Cited</li><li>Appendix 1. 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,{"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":70203931,"text":"70203931 - 2019 - Globally important islands where eradicating invasive mammals will benefit highly threatened vertebrates","interactions":[],"lastModifiedDate":"2019-06-24T15:00:30","indexId":"70203931","displayToPublicDate":"2019-03-27T14:54:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Globally important islands where eradicating invasive mammals will benefit highly threatened vertebrates","docAbstract":"Invasive alien species are a major threat to native insular species. Eradicating invasive mammals from islands is a feasible and proven approach to prevent biodiversity loss. We developed a conceptual framework to identify globally important islands for invasive mammal eradications to prevent imminent extinctions among highly threatened species using biogeographic and technical factors, plus a novel approach to consider socio-political feasibility. We applied this framework using a comprehensive dataset describing the distribution of 1,184 highly threatened, native, vertebrate species (i.e. those listed as Critically Endangered or Endangered on the IUCN Red List) and 184 non-native mammals on 1,279 islands worldwide. Based on extinction risk, irreplaceability, severity of impact from invasive species, and technical feasibility of eradication, we identified and ranked 292 of the most important islands where eradicating invasive mammals would benefit highly threatened vertebrates. When socio-political feasibility was considered, we identified 169 of these islands where eradication planning or operation could be initiated by 2020 or 2030. Of these, 107 islands were in 34 countries and territories and could have eradication projects initiated by 2020. Concentrating efforts to eradicate invasive mammals on these 107 islands would benefit 151 populations of 80 highly threatened vertebrates and make a major contribution towards achieving global conservation targets adopted by the world’s nations.","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0212128","collaboration":"Polynesia/Micronesia CEPF; International Iguana Foundation; San Diego Zoo Global; Taronga Conservation Society Australia; BirdLife International; SPREP; IUCN; USFWS","usgsCitation":"Holmes, N.D., Spatz, D.R., Oppel, S., Tershy, B., Croll, D., Keitt, B., Genovesi, P., Burfield, I., Will, D.J., Bond, A.L., Wegmann, A., Aguirre-Munoz, A., Raine, A.F., Knapp, C.R., Hung, C., Wingate, D., Hagen, E., Mendez-Sanchez, F., Rocamora, G., Yuan, H., Fric, J., Millett, J., Russell, J.M., Liske-Clark, J., Vidal, E., Jourdan, H., Campbell, K., Springer, K., Swinnerton, K., Gibbons-Decherong, L., Langrand, O., de L. 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Richard","contributorId":216464,"corporation":false,"usgs":false,"family":"Griffiths","given":"Richard","affiliations":[{"id":39423,"text":"Island Conservation, Delaware Ave, Santa Cruz California, United States of America","active":true,"usgs":false}],"preferred":false,"id":764796,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764753,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Wanless, Ross M. 0000-0002-4593-7775","orcid":"https://orcid.org/0000-0002-4593-7775","contributorId":198409,"corporation":false,"usgs":false,"family":"Wanless","given":"Ross","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":764797,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Pasachnik, Stesha A.","contributorId":150086,"corporation":false,"usgs":false,"family":"Pasachnik","given":"Stesha","email":"","middleInitial":"A.","affiliations":[{"id":17906,"text":"Institute for Conservation Research, San Diego Zoo, Escondido, CA, USA","active":true,"usgs":false}],"preferred":false,"id":764798,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Cranwell, Steve","contributorId":150091,"corporation":false,"usgs":false,"family":"Cranwell","given":"Steve","email":"","affiliations":[{"id":17907,"text":"Birdlife Pacific, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":764799,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Micol, Thierry","contributorId":216465,"corporation":false,"usgs":false,"family":"Micol","given":"Thierry","email":"","affiliations":[{"id":39445,"text":"Ligue pour la Protection des Oiseaux, Fonderies Royales, 8 rue du Docteur Pujos, Rochefort, France, Terres Australes et Antarctiques Françaises, rue Gabriel Dejean, Saint Pierre de la Réunion, France","active":true,"usgs":false}],"preferred":false,"id":764800,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Butchart, Stuart H. M.","contributorId":216466,"corporation":false,"usgs":false,"family":"Butchart","given":"Stuart","email":"","middleInitial":"H. M.","affiliations":[{"id":39446,"text":"BirdLife International, Cambridge, United Kigndom, Department of Zoology, University of Cambridge, Cambridge, United Kigndom","active":true,"usgs":false}],"preferred":false,"id":764801,"contributorType":{"id":1,"text":"Authors"},"rank":49}]}}
,{"id":70202634,"text":"ds1109 - 2019 - Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) on the Middle San Luis Rey River, San Diego County, Southern California—2018 data summary","interactions":[],"lastModifiedDate":"2019-03-28T12:37:45","indexId":"ds1109","displayToPublicDate":"2019-03-27T13:34:19","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1109","displayTitle":"Distribution and Abundance of Least Bell’s Vireos (<i>Vireo bellii pusillus</i>) and Southwestern Willow Flycatchers (<i>Empidonax traillii extimus</i>) on the Middle San Luis Rey River, San Diego County, Southern California—2018 Data Summary","title":"Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) on the Middle San Luis Rey River, San Diego County, Southern California—2018 data summary","docAbstract":"<div><span>We surveyed for Least Bell’s Vireos (<i>Vireo bellii pusillus</i>;&nbsp;</span><span>vireo) and Southwestern Willow Flycatchers (<i>Empidonax&nbsp;</i></span><span><i>traillii extimus</i>; flycatcher) along the San Luis Rey River,&nbsp;</span><span>between College Boulevard in Oceanside and Interstate 15 in&nbsp;</span><span>Fallbrook, California (middle San Luis Rey River), in 2018.&nbsp;</span><span>Surveys were conducted from April 17 to July 16 (vireo) and&nbsp;</span><span>from May 16 to July 27 (flycatcher). We found 148 vireo&nbsp;</span><span>territories, at least 90 of which were occupied by pairs. Six&nbsp;</span><span>additional transient vireos were detected. Vireos used six&nbsp;</span><span>different habitat types in the survey area: mixed willow,&nbsp;</span><span>willow-cottonwood, riparian scrub, willow-sycamore, upland&nbsp;</span><span>scrub, and non-native habitat. Forty-one percent of the vireos&nbsp;</span><span>were detected in habitat characterized as mixed willow, and&nbsp;</span><span>97 percent of the vireos were detected in habitat with greater&nbsp;</span><span>than 50 percent native plant cover. Of 10 banded vireos&nbsp;</span><span>detected in the survey area, 5 had been given full color-band&nbsp;</span><span>combinations prior to 2018. Four other vireos with single&nbsp;</span><span>(natal) federal bands were recaptured, identified, and color&nbsp;</span><span>banded in 2018. One vireo with a single dark blue federal&nbsp;</span><span>band, indicating that it was banded as a nestling on the lower&nbsp;</span><span>San Luis Rey River, could not be recaptured for identification.&nbsp;</span></div><div><span><br data-mce-bogus=\"1\"></span></div><div><span>One resident flycatcher and eight transient flycatchers&nbsp;</span><span>of unknown subspecies were observed in the survey area&nbsp;</span><span>in 2018. The resident flycatcher (male) was detected in a&nbsp;</span><span>territory of mixed willow habitat with greater than 95 percent&nbsp;</span><span>native plant cover. He was detected as a single male from&nbsp;</span><span>May 24 to July 17, 2018, and no evidence of pairing or&nbsp;</span><span>nesting was observed. The male flycatcher, detected with&nbsp;</span><span>a single natal band, was recaptured, identified, and given a&nbsp;</span><span>unique color combination in 2018. The male flycatcher was&nbsp;</span><span>originally banded as a nestling on the middle San Luis Rey&nbsp;</span><span>River in 2016. The eight transient flycatchers were detected&nbsp;</span><span>from May 25 to June 8, 2018, in mixed willow riparian,&nbsp;</span><span>willow-cottonwood, and riparian scrub habitat with greater&nbsp;</span><span>than 95 percent native plant cover.</span></div>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1109","usgsCitation":"Allen, L.D., and Kus, B.E., 2019, Distribution and abundance of Least Bell’s Vireos (<i>Vireo bellii pusillus</i>) and Southwestern Willow Flycatchers (<i>Empidonax traillii extimus</i>) on the middle San Luis Rey River, San Diego County, southern California—2018 data summary: U.S. Geological Survey Data Series 1109, 12 p., https://doi.org/10.3133/ds1109. ","productDescription":"iv, 12 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-104272","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":362362,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1109/coverthb.jpg"},{"id":362363,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1109/ds1109.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Data Series 1109"}],"country":"United States ","state":"California","county":"San Diego","otherGeospatial":"San Luis Rey River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.31939315795898,\n              33.22361068349911\n            ],\n            [\n              -117.15545654296874,\n              33.22361068349911\n            ],\n            [\n              -117.15545654296874,\n              33.33626508437823\n            ],\n            [\n              -117.31939315795898,\n              33.33626508437823\n            ],\n            [\n              -117.31939315795898,\n              33.22361068349911\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<div><a data-mce-href=\"https://www.usgs.gov/centers/werc/connect\" href=\"https://www.usgs.gov/centers/werc/connect\" target=\"_blank\" rel=\"noopener\">Director</a>,</div><div><a data-mce-href=\"https://www.usgs.gov/centers/werc\" href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\">Western Ecological Research Center</a></div><div><a data-mce-href=\"https://www.usgs.gov/\" href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a></div><div>3020 State University Drive East</div><div>Sacramento, California 95819</div>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Methods</li><li>Least Bell’s Vireo</li><li>Southwestern Willow Flycatcher</li><li>Summary</li><li>Acknowledgments</li><li>References</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-03-27","noUsgsAuthors":false,"publicationDate":"2019-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Lisa D. 0000-0002-6147-3165 ldallen@usgs.gov","orcid":"https://orcid.org/0000-0002-6147-3165","contributorId":196789,"corporation":false,"usgs":true,"family":"Allen","given":"Lisa","email":"ldallen@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":759310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":759309,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70202669,"text":"ofr20191028 - 2019 - Measurement of long-term channel change through repeated cross-section surveys at bridge crossings in Alaska","interactions":[],"lastModifiedDate":"2019-03-28T12:48:22","indexId":"ofr20191028","displayToPublicDate":"2019-03-27T10:38:12","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1028","displayTitle":"Measurement of Long-Term Channel Change Through Repeated Cross-Section Surveys at Bridge Crossings in Alaska","title":"Measurement of long-term channel change through repeated cross-section surveys at bridge crossings in Alaska","docAbstract":"<p class=\"p1\">The U.S. Geological Survey (USGS) has been working with Alaska Department of Transportation and Public Facilities (ADOT&amp;PF) since 1993 to provide hydraulic assessments of scour for bridges throughout Alaska. The purpose of the program is to evaluate, monitor, and study streambed scour at bridges in Alaska; this includes surveying streambed elevations at regular intervals and monitoring real-time bed elevation changes. Over the duration of the scour program (1994–2017), repeated cross sections have been surveyed along the lengths of 76 bridges. Channel soundings are depth-from-bridge measurements on either the upstream or downstream side of a bridge. Flow, depth, and velocity dictated whether streambed elevations were measured using either USGS sounding weights on cable reels, weighted measuring tapes, or acoustic Doppler current profilers. The soundings were done on an annual basis at most sites. In addition to annual soundings, channel soundings were made during floods or periods of scour. Results show that general scour can be uniform or non-uniform across the channel. The magnitude and distribution of scour across the channel are influenced by several factors that include streambed sediment type, degree of channel contraction at the bridge crossing, influence of instream structures, and bridge pier location and alignment. The data collected from the repeat soundings can be used to identify long-term aggradation or degradation of the streambed, as well as seasonal changes in streambed elevations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191028","collaboration":"Prepared in cooperation with the Alaska Department of Transportation and Public Facilities","usgsCitation":"Dworsky, K.L., and Conaway, J.S., 2019, Measurement of long-term channel change through repeated cross-section surveys at bridge crossings in Alaska: U.S. Geological Survey Open-File Report 2019-1028, 118 p., https://doi.org/10.3133/ofr20191028.","productDescription":"Report: vii, 118 p.; 2 Appendices","numberOfPages":"130","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-101816","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":437525,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G663NX","text":"USGS data release","linkHelpText":"Sounding Cross Section Surveys at Alaska Bridge Crossings"},{"id":362475,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1028/coverthb.jpg"},{"id":362477,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1028/ofr20191028_appendix01.xlsx","text":"Appendix 1","size":"2.6 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2019-1028 Appendix 1"},{"id":362476,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1028/ofr20191028.pdf","text":"Report","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1028"},{"id":362478,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1028/ofr20191028_appendix02.pdf","text":"Appendix 2","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1028 Appendix 2"}],"country":"United States","state":"Alaska","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Cross-Section Surveys</li><li>Summary</li><li>References Cited</li><li>Appendixes 1–2</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-03-27","noUsgsAuthors":false,"publicationDate":"2019-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Dworsky, Karenth L. 0000-0002-3287-6934 kdworsky@usgs.gov","orcid":"https://orcid.org/0000-0002-3287-6934","contributorId":200851,"corporation":false,"usgs":true,"family":"Dworsky","given":"Karenth","email":"kdworsky@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":false,"id":759399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conaway, Jeffrey S. 0000-0002-3036-592X jconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":2026,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeffrey","email":"jconaway@usgs.gov","middleInitial":"S.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":759398,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70202731,"text":"ofr20191003 - 2019 - Tampa Bay Ocean and Coastal Acidification Monitoring Quality Assurance Project Plan","interactions":[],"lastModifiedDate":"2019-03-27T14:48:59","indexId":"ofr20191003","displayToPublicDate":"2019-03-26T15:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1003","displayTitle":"Tampa Bay Ocean and Coastal Acidification Monitoring Quality Assurance Project Plan","title":"Tampa Bay Ocean and Coastal Acidification Monitoring Quality Assurance Project Plan","docAbstract":"Coastal acidification caused by eutrophication, freshwater inflow, and upwelling is already affecting many estuaries worldwide and can be exacerbated by ocean acidification that is caused by increasing carbon dioxide in the atmosphere. Effective management, mitigation, and (or) adaptation to the effects of coastal and ocean acidification require careful monitoring of the resulting changes in seawater chemistry. Local, regional, and national agencies and institutions organizing acidification-monitoring and research efforts work toward standardizing data collection and reporting protocols so that data can be shared and compared across regions and synthesized into national assessments. This document describes a Quality Assurance Project Plan for the collection and reporting of seawater chemical and physical data using standardized methods and published best practices relevant for monitoring coastal and ocean acidification. The plan specifically addresses procedures for a joint partnership, the Tampa Bay Ocean and Coastal Acidification Monitoring project, conducted by the U.S. Geological Survey, the U.S. Environmental Protection Agency, and the Tampa Bay Estuary Program in the Tampa Bay estuary, Florida. The plan describes recommended procedures for project organization, sampling process design and methods, data-quality objectives and criteria, data validation and management procedures, and project deliverables.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191003","collaboration":"Prepared in cooperation with the Tampa Bay Estuary Program","usgsCitation":"Yates, K.K., Moore, C.S., Goldstein, N.H., and Sherwood, E.T., 2019, Tampa Bay Ocean and Coastal Acidification Monitoring Quality Assurance Project Plan: U.S. Geological Survey Open-File Report 2019–1003, 35 p., https://doi.org/10.3133/ofr20191003.\n","productDescription":"x, 35 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-091295","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":437528,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HS7ZV0","text":"USGS data release","linkHelpText":"Discrete Carbonate System Parameter Measurements in Middle Tampa Bay, Florida and the Eastern Gulf of Mexico, USA"},{"id":437527,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90NCI8T","text":"USGS data release","linkHelpText":"Time Series of Autonomous Carbonate System Parameter Measurements from Crocker Reef, Florida, USA"},{"id":437526,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BAFC7L","text":"USGS data release","linkHelpText":"Time Series of Autonomous Carbonate System Parameter Measurements in Middle Tampa Bay, Florida, USA"},{"id":362328,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1003/coverthb.jpg"},{"id":362329,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1003/ofr20191003.pdf","text":"Report","size":"1.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1003"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.9302978515625,\n              27.37664535363958\n            ],\n            [\n              -82.3260498046875,\n              27.37664535363958\n            ],\n            [\n              -82.3260498046875,\n              28.212449285338465\n            ],\n            [\n              -82.9302978515625,\n              28.212449285338465\n            ],\n            [\n              -82.9302978515625,\n              27.37664535363958\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://coastal.er.usgs.gov/\" data-mce-href=\"http://coastal.er.usgs.gov/\">St. Petersburg Coastal and Marine Science Center</a><br>U.S. Geological Survey<br>600 4th Street South<br>St. Petersburg, FL 33701</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>1. Introduction</li><li>2. Data Acquisition and Processing</li><li>3. Documents and Records</li><li>4. Assessment, Oversight, and Reports to Management</li><li>5. Data Review, Verification, and Validation</li><li>References Cited</li><li>Appendix 1. Sensor Specifications</li><li>Appendix 2. Data Management Plan</li><li>Appendix 3. Water Sampling Protocol for Total Alkalinity, Dissolved Inorganic Carbon, and pH Analyses</li><li>Appendix 4. Sample Data and Chain of Custody Forms</li><li>Appendix 5. Standard Operating Procedures for Chemical Analyses</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-03-26","noUsgsAuthors":false,"publicationDate":"2019-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Yates, Kimberly K. 0000-0001-8764-0358","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":214349,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":759699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Christopher S. 0000-0003-3210-4878","orcid":"https://orcid.org/0000-0003-3210-4878","contributorId":214351,"corporation":false,"usgs":true,"family":"Moore","given":"Christopher S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":759702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstein, Nathan H. 0000-0002-5871-2663","orcid":"https://orcid.org/0000-0002-5871-2663","contributorId":214350,"corporation":false,"usgs":false,"family":"Goldstein","given":"Nathan","email":"","middleInitial":"H.","affiliations":[{"id":24700,"text":"Student contractor","active":true,"usgs":false}],"preferred":false,"id":759701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherwood, Edward T. 0000-0001-5330-302X","orcid":"https://orcid.org/0000-0001-5330-302X","contributorId":150472,"corporation":false,"usgs":false,"family":"Sherwood","given":"Edward","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":759700,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203221,"text":"70203221 - 2019 - Does perspective matter? A case study comparing Eulerian and Lagrangian estimates of common murre (Uria aalge) distributions","interactions":[],"lastModifiedDate":"2019-04-29T13:49:02","indexId":"70203221","displayToPublicDate":"2019-03-26T13:48:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Does perspective matter? A case study comparing Eulerian and Lagrangian estimates of common murre (Uria aalge) distributions","docAbstract":"Studies estimating species' distributions require information about animal locations in space and time. Location data can be collected using surveys within a predetermined frame of reference (i.e., Eulerian sampling) or from animal‐borne tracking devices (i.e., Lagrangian sampling). Integration of observations obtained from Eulerian and Lagrangian perspectives can provide insights into animal movement and habitat use. However, contemporaneous data from both perspectives are rarely available, making examination of biases associated with each sampling approach difficult. We compared distributions of a mobile seabird observed concurrently from ship, aerial, and satellite tag surveys during May, June, and July 2012 in the northern California Current. We calculated utilization distributions to quantify and compare variability in common murre (Uria aalge) space use and examine how sampling perspective and platform influence observed patterns. Spatial distributions of murres were similar in May, regardless of sampling perspective. Greatest densities occurred in coastal waters off southern Washington and northern Oregon, near large murre colonies and the mouth of the Columbia River. Density distributions of murres estimated from ship and aerial surveys in June and July were similar to those observed in May, whereas distributions of satellite‐tagged murres in June and July indicated northward movement into British Columbia, Canada, resulting in different patterns observed from Eulerian and Lagrangian perspectives. These results suggest that the population of murres observed in the northern California Current during spring and summer includes relatively stationary individuals attending breeding colonies and nonstationary, vagile adults and subadults. Given the expected growth of telemetry studies and advances in survey technology (e.g., unmanned aerial systems), these results highlight the importance of considering methodological approaches, spatial extent, and synopticity of distribution data sets prior to integrating data from different sampling perspectives.","language":"English","publisher":"John Wiley & Sons Ltd.","doi":"10.1002/ece3.5083","usgsCitation":"Phillips, E.M., Horne, J., Zamon, J.E., Felis, J.J., and Adams, J., 2019, Does perspective matter? A case study comparing Eulerian and Lagrangian estimates of common murre (Uria aalge) distributions: Ecology and Evolution, v. 9, no. 8, p. 4805-4819, https://doi.org/10.1002/ece3.5083.","productDescription":"15 p.","startPage":"4805","endPage":"4819","ipdsId":"IP-104177","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467776,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5083","text":"Publisher Index Page"},{"id":363316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.31005859374999,\n              45.96642454131025\n            ],\n            [\n              -122.4755859375,\n              45.96642454131025\n            ],\n            [\n              -122.4755859375,\n              48.56024979174329\n            ],\n            [\n              -125.31005859374999,\n              48.56024979174329\n            ],\n            [\n              -125.31005859374999,\n              45.96642454131025\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"8","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Phillips, Elizabeth M.","contributorId":204681,"corporation":false,"usgs":false,"family":"Phillips","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":761753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horne, John K.","contributorId":204682,"corporation":false,"usgs":false,"family":"Horne","given":"John K.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":761754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zamon, Jeannette E.","contributorId":168453,"corporation":false,"usgs":false,"family":"Zamon","given":"Jeannette","email":"","middleInitial":"E.","affiliations":[{"id":25294,"text":"NOAA/NMFS/NWFSC","active":true,"usgs":false}],"preferred":false,"id":761755,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":761756,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Josh","contributorId":215165,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":761752,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202846,"text":"70202846 - 2019 - Radiometric calibration of a non-imaging airborne spectrometer to measure the Greenland ice sheet surface","interactions":[],"lastModifiedDate":"2019-03-29T11:27:32","indexId":"70202846","displayToPublicDate":"2019-03-26T10:42:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":926,"text":"Atmospheric Measurement Techniques","active":true,"publicationSubtype":{"id":10}},"title":"Radiometric calibration of a non-imaging airborne spectrometer to measure the Greenland ice sheet surface","docAbstract":"<p><span>Methods to radiometrically calibrate a non-imaging airborne visible-to-shortwave infrared (VSWIR) spectrometer to measure the Greenland ice sheet surface are presented. Airborne VSWIR measurement performance for bright Greenland ice and dark bare rock/soil targets is compared against the MODerate resolution atmospheric TRANsmission (MODTRAN</span><sup>®</sup><span>) radiative transfer code (version 6.0), and a coincident Landsat 8 Operational Land Imager (OLI) acquisition on 29&nbsp;July&nbsp;2015 during an in-flight radiometric calibration experiment. Airborne remote sensing flights were carried out in northwestern Greenland in preparation for the Ice, Cloud, and land Elevation Satellite 2 (ICESat-2) laser altimeter mission. A total of nine science flights were conducted over the Greenland ice sheet, sea ice, and open-ocean water. The campaign's primary purpose was to correlate green laser pulse penetration into snow and ice with spectroscopic-derived surface properties. An experimental airborne instrument configuration that included a nadir-viewing (looking downward at the surface) non-imaging Analytical Spectral Devices (ASD) Inc. spectrometer that measured upwelling VSWIR (0.35 to 2.5 </span><span class=\"inline-formula\">µ</span><span>m) spectral radiance (</span><span class=\"inline-formula\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M2&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot; dspmath=&quot;mathml&quot;><mrow class=&quot;unit&quot;><mi mathvariant=&quot;normal&quot;>W</mi><mspace width=&quot;0.125em&quot; linebreak=&quot;nobreak&quot; /><msup><mi mathvariant=&quot;normal&quot;>m</mi><mrow><mo>-</mo><mn mathvariant=&quot;normal&quot;>2</mn></mrow></msup><mspace width=&quot;0.125em&quot; linebreak=&quot;nobreak&quot; /><msup><mi mathvariant=&quot;normal&quot;>sr</mi><mrow><mo>-</mo><mn mathvariant=&quot;normal&quot;>1</mn></mrow></msup><mspace linebreak=&quot;nobreak&quot; width=&quot;0.125em&quot; /><mi mathvariant=&quot;normal&quot;>&amp;#xB5;</mi><msup><mi mathvariant=&quot;normal&quot;>m</mi><mrow><mo>-</mo><mn mathvariant=&quot;normal&quot;>1</mn></mrow></msup></mrow></math>\"><span id=\"M2\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow unit\"><span id=\"MathJax-Span-4\" class=\"mi\">W</span><span id=\"MathJax-Span-5\" class=\"mspace\"></span><span id=\"MathJax-Span-6\" class=\"msup\"><span id=\"MathJax-Span-7\" class=\"mi\">m</span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mo\">−</span><span id=\"MathJax-Span-10\" class=\"mn\">2</span></span></span><span id=\"MathJax-Span-11\" class=\"mspace\"></span><span id=\"MathJax-Span-12\" class=\"msup\"><span id=\"MathJax-Span-13\" class=\"mi\">sr</span><span id=\"MathJax-Span-14\" class=\"mrow\"><span id=\"MathJax-Span-15\" class=\"mo\">−</span><span id=\"MathJax-Span-16\" class=\"mn\">1</span></span></span><span id=\"MathJax-Span-17\" class=\"mspace\"></span><span id=\"MathJax-Span-18\" class=\"mi\">µ</span><span id=\"MathJax-Span-19\" class=\"msup\"><span id=\"MathJax-Span-20\" class=\"mi\">m</span><span id=\"MathJax-Span-21\" class=\"mrow\"><span id=\"MathJax-Span-22\" class=\"mo\">−</span><span id=\"MathJax-Span-23\" class=\"mn\">1</span></span></span></span></span></span></span></span></span><span>) in the two-color Slope Imaging Multi-polarization Photon-Counting Lidar's (SIMPL) ground instantaneous field of view, and a zenith-viewing (looking upward at the sky) ASD spectrometer that measured VSWIR spectral irradiance (W m</span><span class=\"inline-formula\"><sup>−2</sup></span><span> nm</span><span class=\"inline-formula\"><sup>−1</sup></span><span>) was flown. National Institute of Standards and Technology (NIST) traceable radiometric calibration procedures for laboratory, in-flight, and field</span><span id=\"page1914\"></span><span>&nbsp;environments are described in detail to achieve a targeted VSWIR measurement requirement of within 5 % to support calibration/validation efforts and remote sensing algorithm development. Our MODTRAN predictions for the 29&nbsp;July flight line over dark and bright targets indicate that the airborne nadir-viewing spectrometer spectral radiance measurement uncertainty was between 0.6 % and 4.7 % for VSWIR wavelengths (0.4 to 2.0 </span><span class=\"inline-formula\">µ</span><span>m) with atmospheric transmittance greater than 80 %. MODTRAN predictions for Landsat 8 OLI relative spectral response functions suggest that OLI is measuring 6 % to 16 % more top-of-atmosphere (TOA) spectral radiance from the Greenland ice sheet surface than was predicted using apparent reflectance spectra from the nadir-viewing spectrometer. While more investigation is required to convert airborne VSWIR spectral radiance into atmospherically corrected airborne surface reflectance, it is expected that airborne science flight data products will contribute to spectroscopic determination of Greenland ice sheet surface optical properties to improve understanding of their potential influence on ICESat-2 measurements.</span></p>","language":"English","publisher":"Atmospheric Measurement Techniques","doi":"10.5194/amt-12-1913-2019","usgsCitation":"Crawford, C., van den Bosch, J., Brunt, K.M., Hom, M.G., Cooper, J.W., Harding, D.J., Butler, J., Dabney, P.W., Neumann, T.A., Cleckner, C.S., and Markus, T., 2019, Radiometric calibration of a non-imaging airborne spectrometer to measure the Greenland ice sheet surface: Atmospheric Measurement Techniques, v. 12, p. 1913-1933, https://doi.org/10.5194/amt-12-1913-2019.","productDescription":"21 p.","startPage":"1913","endPage":"1933","ipdsId":"IP-105345","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467777,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/amt-12-1913-2019","text":"Publisher Index Page"},{"id":362531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Greenland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.5546875,\n              58.63121664342478\n            ],\n            [\n              -9.84375,\n              58.63121664342478\n            ],\n            [\n              -9.84375,\n              83.82994542398042\n            ],\n            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Bosch","given":"Jeannette","email":"","affiliations":[{"id":39073,"text":"US Air Force Research Lab","active":true,"usgs":false}],"preferred":false,"id":760242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brunt, Kelly M. 0000-0002-6462-6112","orcid":"https://orcid.org/0000-0002-6462-6112","contributorId":214567,"corporation":false,"usgs":false,"family":"Brunt","given":"Kelly","email":"","middleInitial":"M.","affiliations":[{"id":39074,"text":"University of Maryland / NASA","active":true,"usgs":false}],"preferred":true,"id":760243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hom, Milton G.","contributorId":214568,"corporation":false,"usgs":false,"family":"Hom","given":"Milton","email":"","middleInitial":"G.","affiliations":[{"id":39075,"text":"Science Systems and Applications / NASA","active":true,"usgs":false}],"preferred":false,"id":760244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, John W.","contributorId":214569,"corporation":false,"usgs":false,"family":"Cooper","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":39076,"text":"Science Systems and Applications  / NASA","active":true,"usgs":false}],"preferred":false,"id":760245,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harding, David J.","contributorId":214570,"corporation":false,"usgs":false,"family":"Harding","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760246,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Butler, James J.","contributorId":214571,"corporation":false,"usgs":false,"family":"Butler","given":"James J.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760247,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dabney, Philip W.","contributorId":214572,"corporation":false,"usgs":false,"family":"Dabney","given":"Philip","email":"","middleInitial":"W.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760248,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Neumann, Thomas A.","contributorId":214573,"corporation":false,"usgs":false,"family":"Neumann","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760249,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cleckner, Craig S.","contributorId":214574,"corporation":false,"usgs":false,"family":"Cleckner","given":"Craig","email":"","middleInitial":"S.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760250,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Markus, Thorsten","contributorId":214575,"corporation":false,"usgs":false,"family":"Markus","given":"Thorsten","email":"","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760251,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70217865,"text":"70217865 - 2019 - Plant richness and composition in hardwood forest understories vary along an acidic deposition and soil-chemical gradient in the northeastern United States","interactions":[],"lastModifiedDate":"2021-02-08T13:44:49.586893","indexId":"70217865","displayToPublicDate":"2019-03-26T07:40:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"title":"Plant richness and composition in hardwood forest understories vary along an acidic deposition and soil-chemical gradient in the northeastern United States","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\"><strong>Aims</strong></h3><p>A century of atmospheric deposition of sulfur and nitrogen has acidified soils and undermined the health and recruitment of foundational tree species in the northeastern US. However, effects of acidic deposition on the forest understory plant communities of this region are poorly documented. We investigated how forest understory plant species composition and richness varied across gradients of acidic deposition and soil acidity in the Adirondack Mountains of New York State.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We surveyed understory vegetation and soils in hardwood forests on 20 small watersheds and built models of community composition and richness as functions of soil chemistry, nitrogen and sulfur deposition, and other environmental variables.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Community composition varied significantly with gradients of acidic deposition, soil acidity, and base cation availability (63% variance explained). Several species increased with soil acidity while others decreased. Understory plant richness decreased significantly with increasing soil acidity (<i>r</i> = 0.60). The best multivariate regression model to predict richness (<i>p</i> &lt; 0.001, adjusted<i>-R</i><sup><i>2</i></sup> = 0.60) reflected positive effects of pH and carbon-to-nitrogen ratio (C:N).</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>The relationship we found between understory plant communities and a soil-chemical gradient, suggests that soil acidification can reduce diversity and alter the composition of these communities in northern hardwood forests exposed to acidic deposition.</p>","language":"English","publisher":"Springer","doi":"10.1007/s11104-019-04031-y","usgsCitation":"Zarfos, M.R., Dovciak, M., Lawrence, G.B., McDonnell, T.C., and Sullivan, T.J., 2019, Plant richness and composition in hardwood forest understories vary along an acidic deposition and soil-chemical gradient in the northeastern United States: Plant and Soil, v. 438, p. 461-477, https://doi.org/10.1007/s11104-019-04031-y.","productDescription":"17 p.","startPage":"461","endPage":"477","ipdsId":"IP-088565","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":467778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11104-019-04031-y","text":"Publisher Index Page"},{"id":383090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"New York","otherGeospatial":"northeast New York","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.3447265625,\n              44.99588261816546\n            ],\n            [\n              -75.1025390625,\n              44.902577996288876\n            ],\n            [\n              -76.3330078125,\n              44.15068115978094\n            ],\n            [\n              -74.92675781249999,\n              43.739352079154706\n            ],\n            [\n              -74.0478515625,\n              43.42100882994726\n            ],\n            [\n              -73.564453125,\n              43.42100882994726\n            ],\n            [\n              -73.3447265625,\n              44.99588261816546\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"438","noUsgsAuthors":false,"publicationDate":"2019-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Zarfos, Michael R. 0000-0002-2902-4773","orcid":"https://orcid.org/0000-0002-2902-4773","contributorId":196724,"corporation":false,"usgs":false,"family":"Zarfos","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":809971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dovciak, Martin","contributorId":196723,"corporation":false,"usgs":false,"family":"Dovciak","given":"Martin","email":"","affiliations":[],"preferred":false,"id":809972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonnell, Todd C.","contributorId":127622,"corporation":false,"usgs":false,"family":"McDonnell","given":"Todd","email":"","middleInitial":"C.","affiliations":[{"id":7087,"text":"Scientist, E&S Environmental Chemistry Inc, Corvallis OR","active":true,"usgs":false}],"preferred":false,"id":809974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Timothy J.","contributorId":196720,"corporation":false,"usgs":false,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":809975,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215324,"text":"70215324 - 2019 - Status and trends of prey fish populations in Lake Michigan, 2018","interactions":[],"lastModifiedDate":"2021-04-16T15:11:31.57633","indexId":"70215324","displayToPublicDate":"2019-03-25T10:09:21","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":7577,"text":"Annual Report","active":true,"publicationSubtype":{"id":4}},"title":"Status and trends of prey fish populations in Lake Michigan, 2018","docAbstract":"The U.S. Geological Survey Great Lakes Science Center has conducted lake-wide surveys of the fish community in Lake Michigan each fall since 1973 using standard 12 m bottom trawls towed along contour at depths of 9 to 110 m at each of seven index transects.  The survey provides relative abundance and biomass estimates between the 5 m and 114 m depth contours of the lake for prey fish populations, as well as for burbot and yellow perch.  The resulting data are used to estimate various population parameters that are in turn used by state and tribal agencies in managing Lake Michigan fish stocks.  All seven established index transects of the survey were completed in 2018, although depths 64 m and greater offshore of Frankfort could not be completed due to excessive dreissenid mussel biomass on our multiple tow attempts.  Mean biomass of alewives in 2018 was estimated at 0.54 kg/ha, which was the highest value since 2013, but still only 6.7% of the long-term average (7.96 kg/ha).  Age distribution of alewives remained truncated with no alewife age exceeding 5 years.  Bloater biomass was 2.60 kg/ha in 2018, relatively unchanged from 2017, but still only 14% of the long-term average.  Round goby biomass was 1.25 kg/ha in 2018, the 3rd largest estimate in the time series and 62% higher than the average since they were first sampled in 2003.  Rainbow smelt biomass was 0.45 kg/ha, which was the highest since 2006 but only 21% of the long-term average.  Likewise, deepwater sculpin biomass was 1.30 kg/ha in 2018, which was the highest since 2007 but only 20% of the long-term average.  Slimy sculpin biomass was only 0.07 kg/ha in 2018, and similar to the very low levels estimated since 2012 and only 17% of the long-term average.  Ninespine stickleback remained very rare in 2018 (0.004 kg/ha), and only 1% of the long-term average.  Overall, the total prey fish biomass (sum of alewife, bloater, rainbow smelt, deepwater sculpin, slimy sculpin, round goby, and ninespine stickleback) in 2018 was 6.22 kg/ha, roughly 65% greater than in 2017 but still only 17% of the long-term average.  With respect to other species of interest, burbot biomass was only 0.04 kg/ha in 2018 (18% of the long-term average) and no age-0 yellow perch were caught in 2018, indicating a weak year-class.","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Bunnell, D.B., Madenjian, C.P., Desorcie, T.J., Dieter, P., and Adams, J.V., 2019, Status and trends of prey fish populations in Lake Michigan, 2018: Annual Report, 17 p.","productDescription":"17 p.","ipdsId":"IP-106561","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":385158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385157,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/lake-michigan-committee.php"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n 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,{"id":70202752,"text":"70202752 - 2019 - Regeneration of Metrosideros polymorpha forests in Hawaii after landscape‐level canopy dieback","interactions":[],"lastModifiedDate":"2019-03-25T08:24:25","indexId":"70202752","displayToPublicDate":"2019-03-22T15:47:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Regeneration of <i>Metrosideros polymorpha</i> forests in Hawaii after landscape‐level canopy dieback","title":"Regeneration of Metrosideros polymorpha forests in Hawaii after landscape‐level canopy dieback","docAbstract":"<div id=\"jvs12704-sec-0001\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Questions</strong></p><p>(a) Have<span>&nbsp;</span><i>Metrosideros polymorpha</i><span>&nbsp;</span>trees become re‐established in Hawaiian forests previously impacted by canopy dieback in the 1970s? (b) Has canopy dieback expanded since the 1970s? (c) Can spatial patterns from this dieback be correlated with habitat factors to model future dieback in this area?</p></div><div id=\"jvs12704-sec-0002\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Study Site</strong></p><p>An 83,603&nbsp;ha study area on the eastern slopes of Mauna Loa and Mauna Kea volcanoes on the island of Hawaii, USA.</p></div><div id=\"jvs12704-sec-0003\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Methods</strong></p><p>We analyzed very‐high‐resolution imagery to assess status of<span>&nbsp;</span><i>Metrosideros polymorpha</i>forests across the eastern side of the island of Hawaii. We generated 1,170 virtual vegetation plots with a 100‐m radius; 541 plots in areas mapped in 1977 with trees dead or mostly defoliated (dieback), and 629 plots in adjacent wet forest habitat, previously mapped as non‐dieback condition. In each plot we estimated the frequency of<span>&nbsp;</span><i>M. polymorpha</i><span>&nbsp;</span>trees that were dead or mostly defoliated, and the frequency of trees with healthy crowns. These results were combined with habitat data to produce a spatial model depicting probability of canopy dieback within the study area.</p></div><div id=\"jvs12704-sec-0004\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Results</strong></p><p>Seventy‐nine percent of plots mapped in 1977 in dieback condition recovered their canopy and were now considered in non‐dieback condition. Ninety‐one percent of plots in previous non‐dieback areas were found to still have a healthy<span>&nbsp;</span><i>M. polymorpha</i><span>&nbsp;</span>canopy in 2015. A spatial model allowed us to identify areas within the study area with high, medium, and low probability of experiencing this same type of canopy dieback in the future.</p></div><div id=\"jvs12704-sec-0005\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Conclusions</strong></p><p>Most former dieback areas mapped within the study area in 1977 now show recovery of the tree canopy through growth of new cohorts of young<span>&nbsp;</span><i>M. polymorpha</i><span>&nbsp;</span>trees. This suggests these forest communities are resilient to this type of canopy loss and tree death so long as other factors do not disrupt the natural regeneration process.</p></div>","language":"English","publisher":"Wiley","doi":"10.1111/jvs.12704","usgsCitation":"Mertelmeyer, L., Jacobi, J.D., Mueller-Dombois, D., Brinck, K.W., and Boehmer, H.J., 2019, Regeneration of Metrosideros polymorpha forests in Hawaii after landscape‐level canopy dieback: Journal of Vegetation Science, v. 30, no. 1, p. 146-155, https://doi.org/10.1111/jvs.12704.","productDescription":"10 p.","startPage":"146","endPage":"155","ipdsId":"IP-099401","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":437530,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97OSO15","text":"USGS data release","linkHelpText":"Hawaii Island Regeneration of Metrosideros polymorpha forests since landscape-level canopy dieback in the 1970s"},{"id":362292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.38238525390625,\n              19.452348936859018\n            ],\n            [\n              -155.08987426757812,\n              19.452348936859018\n            ],\n            [\n              -155.08987426757812,\n              20.06754094648767\n            ],\n            [\n              -155.38238525390625,\n              20.06754094648767\n            ],\n            [\n              -155.38238525390625,\n              19.452348936859018\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Mertelmeyer, Linda","contributorId":214407,"corporation":false,"usgs":false,"family":"Mertelmeyer","given":"Linda","email":"","affiliations":[{"id":39035,"text":"Technical University of Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":759816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":759815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller-Dombois, Dieter","contributorId":214408,"corporation":false,"usgs":false,"family":"Mueller-Dombois","given":"Dieter","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":759817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":150936,"corporation":false,"usgs":false,"family":"Brinck","given":"Kevin","email":"kbrinck@usgs.gov","middleInitial":"W.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":759818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boehmer, Hans Juergen","contributorId":207895,"corporation":false,"usgs":false,"family":"Boehmer","given":"Hans","email":"","middleInitial":"Juergen","affiliations":[{"id":37652,"text":"School of Geography, University of the South Pacific, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":759819,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202746,"text":"70202746 - 2019 - Confronting uncertainty: Contributions of the wildlife profession to the broader scientific community","interactions":[],"lastModifiedDate":"2019-03-25T08:26:33","indexId":"70202746","displayToPublicDate":"2019-03-22T15:32:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Confronting uncertainty: Contributions of the wildlife profession to the broader scientific community","docAbstract":"<p><span>Most wildlife professionals are engaged in 1 or both of 2 basic endeavors: science and management. These endeavors are a focus of many other disciplines, leading to widespread sharing of general methodologies. Wildlife professionals have appropriately borrowed and assimilated many methods developed primarily in other disciplines but have also led the development of one class of quantitative methods, those that confront and incorporate uncertainty. Uncertainty arises in counts of focal entities, for which wildlife professionals have developed effective methods to deal with the common problems of nondetection and misclassification. These methods have been borrowed by disciplines as varied as paleobiology, medicine, human epidemiology, industrial quality control, military target acquisition, remote sensing, and human census. Uncertainty also arises in the modeling of those counts, specifically the observation and ecological processes that generated them. Wildlife professionals recognized the fundamental importance of model selection and rapidly assimilated methods for selecting the most appropriate model for a given data set. These methods for dealing with uncertainty inherent to counting and modeling are critical to the conduct of science and management. Wildlife professionals have developed additional methods for incorporating uncertainty in the accumulation of knowledge and the development of optimal decisions in an environment of learning. In some cases, professionals in other disciplines are using methods developed and popularized in the wildlife profession, but there is much potential for greater use. In this essay, I describe these areas of wildlife leadership, document their assimilation by other disciplines, and emphasize the potential for more interdisciplinary use of these methods.&nbsp;</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21630","usgsCitation":"Nichols, J.D., 2019, Confronting uncertainty: Contributions of the wildlife profession to the broader scientific community: Journal of Wildlife Management, v. 83, no. 3, p. 519-533, https://doi.org/10.1002/jwmg.21630.","productDescription":"15 p.","startPage":"519","endPage":"533","ipdsId":"IP-101830","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":362289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":759785,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70202761,"text":"70202761 - 2019 - The effectiveness of non-native fish removal techniques in freshwater ecosystems: a systematic review","interactions":[],"lastModifiedDate":"2019-03-25T13:48:37","indexId":"70202761","displayToPublicDate":"2019-03-22T13:44:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5056,"text":"Environmental Reviews","active":true,"publicationSubtype":{"id":10}},"title":"The effectiveness of non-native fish removal techniques in freshwater ecosystems: a systematic review","docAbstract":"In aquatic systems, biological invasions can result in adverse ecological effects. Management techniques available for non-native fish removal programs (including eradication and population size control) vary widely, but include chemicals, harvest regimes, physical removal, or biological control. For management agencies, deciding on what non-native fish removal program to use has been challenging because there is little reliable information about the relative effectiveness of these measures in controlling or eradicating non-native fish. We conducted a systematic review, including a critical appraisal of study validity, to assess the effectiveness of different non-native fish removal methods, and to identify the factors that influence the overall success rate of each type of method. We found 95 relevant studies, generating 158 data sets. The evidence base was dominated by poorly documented studies with inadequate experimental designs (76% of removal projects). When the management goal was non-native fish eradication, chemical treatments were relatively successful (antimycin 75%; rotenone 89%) compared to other interventions. Electrofishing and passive removal measure studies indicated successful eradication was possible (58% each respectively) but required intensive effort and multiple treatments over a number of years. Of these studies with sufficient information, electrofishing had the highest success for population size control (56% of data sets). Overall, inadequate data quality and completeness severely limited our ability to make strong conclusions about the relationships between non-native fish abundance and different methods of eradication and population control, and the factors influencing the overall success rate of each method. Our review highlights that there is considerable scope for improving our evaluations of non-native fish removal methods. It is recommended that programs should have explicitly stated objectives, better data reporting, and study designs that (when possible and appropriate) incorporate replicated and controlled investigations with rigorous, long-term quantitative monitoring. Future research on the effectiveness of non-native fish removal methods should focus on: (1) the efficacy of existing or potentially new removal measures in larger, more complex environments; (2) a broader range of removal measures in general, and (3) phenotypic characteristics of individual fish within a population that fail to be eradicated or controlled.","language":"English","publisher":"NRC Research Press","doi":"10.1139/er-2018-0049","usgsCitation":"Rytwinski, T., Taylor, J.J., Donaldson, L.A., Britton, J.R., Browne, D.R., Gresswell, R.E., Lintermans, M., Prior, K.A., Pellatt, M.G., Vis, C., and Cooke, S., 2019, The effectiveness of non-native fish removal techniques in freshwater ecosystems: a systematic review: Environmental Reviews, v. 27, no. 1, p. 71-94, https://doi.org/10.1139/er-2018-0049.","productDescription":"24 p.","startPage":"71","endPage":"94","numberOfPages":"24","ipdsId":"IP-100065","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467786,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":362303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rytwinski, Trina","contributorId":214426,"corporation":false,"usgs":false,"family":"Rytwinski","given":"Trina","email":"","affiliations":[],"preferred":false,"id":759889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Jessica J.","contributorId":214427,"corporation":false,"usgs":false,"family":"Taylor","given":"Jessica","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":759890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donaldson, Lisa A.","contributorId":214428,"corporation":false,"usgs":false,"family":"Donaldson","given":"Lisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":759891,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Britton, J. Robert","contributorId":214429,"corporation":false,"usgs":false,"family":"Britton","given":"J.","email":"","middleInitial":"Robert","affiliations":[],"preferred":false,"id":759892,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Browne, David R.","contributorId":214430,"corporation":false,"usgs":false,"family":"Browne","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":759893,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":152031,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":759894,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lintermans, Mark","contributorId":214431,"corporation":false,"usgs":false,"family":"Lintermans","given":"Mark","email":"","affiliations":[],"preferred":false,"id":759895,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prior, Kent A.","contributorId":214432,"corporation":false,"usgs":false,"family":"Prior","given":"Kent","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":759896,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pellatt, Marlow G.","contributorId":214433,"corporation":false,"usgs":false,"family":"Pellatt","given":"Marlow","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":759897,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vis, Chantal","contributorId":214434,"corporation":false,"usgs":false,"family":"Vis","given":"Chantal","email":"","affiliations":[],"preferred":false,"id":759898,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":759899,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70202736,"text":"70202736 - 2019 - UAV-based measurements of spatio-temporal concentration distributions of fluorescent tracers in open channel flows","interactions":[],"lastModifiedDate":"2019-03-25T08:41:22","indexId":"70202736","displayToPublicDate":"2019-03-22T10:54:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"UAV-based measurements of spatio-temporal concentration distributions of fluorescent tracers in open channel flows","docAbstract":"<p><span>A new method of unmanned aerial vehicle (UAV)-based tracer tests using RGB (red, green, blue) images was developed in order to acquire the spatio-temporal concentration distribution of tracer clouds in open channel flows. Tracer tests using Rhodamine WT were conducted to collect the RGB images using a commercial digital camera mounted on a UAV, and the concentration of Rhodamine WT using&nbsp;</span><i>in-situ</i><span>&nbsp;fluorometric probes. The correlation analysis showed that the&nbsp;</span><i>in-situ</i><span>measured concentrations of Rhodamine WT were strongly correlated with the digital number (</span><i>DN</i><span>) of the RGB images, even though the response of&nbsp;</span><i>DN</i><span>&nbsp;to the concentration was spatially heterogeneous. The empirical relationship between the&nbsp;</span><i>DN</i><span>&nbsp;values and the Rhodamine WT concentration data was estimated using artificial neural network (ANN) models. The trained ANN models, which consider the effect of water depth and river bed, accurately retrieved the detailed spatio-temporal concentration distributions of all study areas that had an R</span><sup>2</sup><span>&nbsp;higher than 0.9. The acquired spatio-temporal concentration distributions by the proposed method based on the UAV images gave general as well as detailed views of the tracer cloud moving dynamically in open channel flows that cannot be easily observed using conventional&nbsp;</span><i>in-situ</i><span>&nbsp;measurements.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2019.03.007","usgsCitation":"Baek, D., Seo, I.W., Kim, J.S., and Nelson, J.M., 2019, UAV-based measurements of spatio-temporal concentration distributions of fluorescent tracers in open channel flows: Advances in Water Resources, v. 127, p. 76-88, https://doi.org/10.1016/j.advwatres.2019.03.007.","productDescription":"13 p.","startPage":"76","endPage":"88","ipdsId":"IP-102149","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":362275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baek, Donghae","contributorId":214366,"corporation":false,"usgs":false,"family":"Baek","given":"Donghae","email":"","affiliations":[{"id":37780,"text":"Seoul National University","active":true,"usgs":false}],"preferred":false,"id":759728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seo, Il Won","contributorId":214367,"corporation":false,"usgs":false,"family":"Seo","given":"Il","email":"","middleInitial":"Won","affiliations":[{"id":37780,"text":"Seoul National University","active":true,"usgs":false}],"preferred":false,"id":759729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Jun Song","contributorId":214368,"corporation":false,"usgs":false,"family":"Kim","given":"Jun","email":"","middleInitial":"Song","affiliations":[{"id":37780,"text":"Seoul National University","active":true,"usgs":false}],"preferred":false,"id":759730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":759727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215994,"text":"70215994 - 2019 - A re-examination of the three most prominent Holocene tephra deposits in western Canada: Bridge River, Mount St. Helens Yn and Mazama","interactions":[],"lastModifiedDate":"2020-11-02T15:39:49.210587","indexId":"70215994","displayToPublicDate":"2019-03-22T09:34:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"A re-examination of the three most prominent Holocene tephra deposits in western Canada: Bridge River, Mount St. Helens Yn and Mazama","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>Volcanic ash deposits (tephra) in western Canada are instrumental in providing independent chronologic control for many archaeological and paleoenvironmental sites. In Alberta,&nbsp;tephra&nbsp;are a key chronologic tool in a region where radiocarbon dates are often unreliable because of the prevalence of carbonate-rich&nbsp;bedrock&nbsp;and other “old carbon” sources, such as coal. However, many studies using tephra for age control, particularly archaeological projects, identify tephra simply through field characteristics or light microscopy. In both Alberta and British Columbia, many radiocarbon dates that were used to date key tephra deposits were bulk conventional ages on&nbsp;peat&nbsp;and&nbsp;lake sediments, which are not always reliable. These factors have led to uncertainty in the age and number of Bridge River and Mount St. Helens (MSH) set Y tephra present in the region and incomplete distribution maps. New major-element geochemical analyses from archaeological and sedimentary sites across south-central Alberta, complemented by new analyses of tephra from British Columbia and Saskatchewan, refine the distribution of the Bridge River, MSH Yn and Mazama tephra. New geochemical data, radiocarbon dates, and a detailed overview of proximal MSH set Y stratigraphy and&nbsp;</span>geochemistry<span>&nbsp;</span>show that only one MSH layer, Yn, is present in this region, rather than two MSH set Y tephra as previously suggested. Additionally, re-assessment of age data combined with new geochemical analyses confirm that there is also only one Bridge River tephra. A Bayesian modelled age estimate is determined for MSH Yn based on new AMS dates on the tephra and vetted existing conventional ages, providing a revised age estimate for MSH Yn of 3805–3535 cal BP (mean of 3660 cal BP).</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2019.03.017","usgsCitation":"Jensen, B.J., Beaudoin, A.B., Clynne, M.A., Harvey, J., and Vallance, J.W., 2019, A re-examination of the three most prominent Holocene tephra deposits in western Canada: Bridge River, Mount St. Helens Yn and Mazama: Quaternary International, v. 500, p. 83-95, https://doi.org/10.1016/j.quaint.2019.03.017.","productDescription":"13 p.","startPage":"83","endPage":"95","ipdsId":"IP-104318","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":380028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.24414062499999,\n              39.70718665682654\n            ],\n            [\n              -107.314453125,\n              39.70718665682654\n            ],\n            [\n              -107.314453125,\n              52.908902047770255\n            ],\n            [\n              -125.24414062499999,\n              52.908902047770255\n            ],\n            [\n              -125.24414062499999,\n              39.70718665682654\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"500","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jensen, Britta J.L. 0000-0001-9134-7170","orcid":"https://orcid.org/0000-0001-9134-7170","contributorId":244298,"corporation":false,"usgs":false,"family":"Jensen","given":"Britta","email":"","middleInitial":"J.L.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":803715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaudoin, Alwynne B.","contributorId":244299,"corporation":false,"usgs":false,"family":"Beaudoin","given":"Alwynne","email":"","middleInitial":"B.","affiliations":[{"id":48883,"text":"Royal Alberta Museum","active":true,"usgs":false}],"preferred":false,"id":803716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":803717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Jordan","contributorId":244300,"corporation":false,"usgs":false,"family":"Harvey","given":"Jordan","email":"","affiliations":[{"id":48883,"text":"Royal Alberta Museum","active":true,"usgs":false}],"preferred":false,"id":803718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vallance, James W. 0000-0002-3083-5469 jvallance@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5469","contributorId":547,"corporation":false,"usgs":true,"family":"Vallance","given":"James","email":"jvallance@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":803719,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202725,"text":"70202725 - 2019 - Evidence for non-steady-state carbon emissions from snow-scoured alpine tundra","interactions":[],"lastModifiedDate":"2019-03-21T14:47:38","indexId":"70202725","displayToPublicDate":"2019-03-21T14:11:10","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":"Evidence for non-steady-state carbon emissions from snow-scoured alpine tundra","docAbstract":"<p><span>High-latitude warming is capable of accelerating permafrost degradation and the decomposition of previously frozen carbon. The existence of an analogous high-altitude feedback, however, has yet to be directly evaluated. We address this knowledge gap by coupling a radiocarbon-based model to 7 years (2008–2014) of continuous eddy covariance data from a snow-scoured alpine tundra meadow in Colorado, USA, where solifluction lobes are associated with discontinuous permafrost. On average, the ecosystem was a net annual source of 232 ± 54 g C m</span><sup>−2</sup><span>&nbsp;(mean ± 1 standard deviation) to the atmosphere, and respiration of relatively radiocarbon-depleted (i.e., older) substrate contributes to carbon emissions during the winter. Given that alpine soils with permafrost occupy 3.6 × 10</span><sup>6</sup><span>&nbsp;km</span><sup>2</sup><span>&nbsp;land area and are estimated to contain 66.3 Pg of soil organic carbon (4.5% of the global pool), this scenario has global implications for the mountain carbon balance and corresponding resource allocation to lower elevations.</span></p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41467-019-09149-2","usgsCitation":"Knowles, J.F., Blanken, P.D., Lawrence, C., and Williams, M.W., 2019, Evidence for non-steady-state carbon emissions from snow-scoured alpine tundra: Nature Communications, v. 10, Article number: 1306; 9 p., https://doi.org/10.1038/s41467-019-09149-2.","productDescription":"Article number: 1306; 9 p.","ipdsId":"IP-101783","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":460433,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-019-09149-2","text":"Publisher Index Page"},{"id":362250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Niwot Ridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.62410354614256,\n              40.052322006146916\n            ],\n            [\n              -105.56985855102538,\n              40.052322006146916\n            ],\n            [\n              -105.56985855102538,\n              40.07045271464657\n            ],\n            [\n              -105.62410354614256,\n              40.07045271464657\n            ],\n            [\n              -105.62410354614256,\n              40.052322006146916\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Knowles, John F.","contributorId":203853,"corporation":false,"usgs":false,"family":"Knowles","given":"John","email":"","middleInitial":"F.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":759656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blanken, Peter D.","contributorId":189305,"corporation":false,"usgs":false,"family":"Blanken","given":"Peter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":759657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Corey 0000-0002-2179-2436","orcid":"https://orcid.org/0000-0002-2179-2436","contributorId":214331,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":759655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Mark W.","contributorId":214082,"corporation":false,"usgs":false,"family":"Williams","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":38977,"text":"University of Colorado at Boulder","active":true,"usgs":false}],"preferred":false,"id":759658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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