![\"Math](\"http://www.fsijournal.org/cms/attachment/2085453690/2073866098/si1.gif\")
Cambarus veteranus Faxon, 1914, a narrow endemic crayfish native to the Upper Guyandotte River Basin (UGB) in West Virginia, USA, was petitioned in 2014 by the United States Fish and Wildlife Service to be listed as endangered, but a status survey was recommended to determine if listing was warranted. During May and June 2015, surveys were undertaken across the UGB to determine the current distribution of the species. A total of 71 sites were sampled, including all streams where the species was previously recorded, as well as semi-randomly selected streams, with 1-9 125 m long sites sampled per wadeable stream. Physiochemical and physical habitat data (based on the Qualitative Habitat Evaluation Index, QHEI) were obtained at each site to determine abiotic factors that were associated with the presence of C. veteranus. Site detection or non-detection of C. veteranus and associated site covariates were modeled using logistic regression to determine covariates associated with the presence of the species. Cambarus veteranus was present in both the Pinnacle Creek and Clear Fork/Laurel Fork watersheds at 10 sites, but it was not observed in the remaining 61 sites. An additive effects model with conductivity and QHEI was selected as the best approximating model. Cambarusveteranus was associated with lower than average UGB conductivity (379 µS) and high (>80) QHEI score. All sites where C. veteranus was not detected had higher conductivity and/or lower QHEI scores.
","language":"English","publisher":"Oxford Academic","doi":"10.1163/1937240x-00002456","usgsCitation":"Loughman, Z.J., Welsh, S., Sadecky, N., Dillard, Z.W., and Scott, R.K., 2016, Environmental covariates associated with Cambarus veteranus (Decapoda: Cambaridae), an imperiled Appalachian crayfish endemic to West Virginia, USA: Journal of Crustacean Biology, v. 36, no. 5, p. 642-648, https://doi.org/10.1163/1937240x-00002456.","productDescription":"7 p.","startPage":"642","endPage":"648","ipdsId":"IP-078754","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470619,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1163/1937240x-00002456","text":"Publisher Index Page"},{"id":340355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Upper Guyandotte River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.14501953125,\n 38.37611542403604\n ],\n [\n -80.83740234375,\n 38.315801006824984\n ],\n [\n -80.5517578125,\n 38.22091976683121\n ],\n [\n -80.26611328125,\n 38.08268954483802\n ],\n [\n -80.22216796875,\n 37.93553306183642\n ],\n [\n -80.343017578125,\n 37.75334401310656\n ],\n [\n -80.66162109375,\n 37.61423141542417\n ],\n [\n -81.01318359375,\n 37.501010429493284\n ],\n [\n -81.76025390625,\n 37.50972584293751\n ],\n [\n -81.968994140625,\n 37.58811876638322\n ],\n [\n -82.276611328125,\n 37.735969208590504\n ],\n [\n -82.37548828125,\n 37.95286091815649\n ],\n [\n -82.496337890625,\n 38.14319750166766\n ],\n [\n -82.4853515625,\n 38.28993659801203\n ],\n [\n -82.30957031249999,\n 38.41055825094609\n ],\n [\n -82.0458984375,\n 38.57393751557591\n ],\n [\n -81.82617187499999,\n 38.57393751557591\n ],\n [\n -81.507568359375,\n 38.53957267203905\n ],\n [\n -81.287841796875,\n 38.46219172306828\n ],\n [\n -81.14501953125,\n 38.37611542403604\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006063e4b0e85db3a5ddd7","contributors":{"authors":[{"text":"Loughman, Zachary J.","contributorId":76157,"corporation":false,"usgs":false,"family":"Loughman","given":"Zachary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":692929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":692923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sadecky, Nicole M.","contributorId":179375,"corporation":false,"usgs":false,"family":"Sadecky","given":"Nicole M.","affiliations":[],"preferred":false,"id":692930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dillard, Zachary W.","contributorId":179376,"corporation":false,"usgs":false,"family":"Dillard","given":"Zachary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":692931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scott, R. Katie","contributorId":179377,"corporation":false,"usgs":false,"family":"Scott","given":"R.","email":"","middleInitial":"Katie","affiliations":[],"preferred":false,"id":692932,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195835,"text":"70195835 - 2016 - Estimating microcystin levels at recreational sites in western Lake Erie and Ohio","interactions":[],"lastModifiedDate":"2018-03-07T10:40:01","indexId":"70195835","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Estimating microcystin levels at recreational sites in western Lake Erie and Ohio","docAbstract":"Cyanobacterial harmful algal blooms (cyanoHABs) and associated toxins, such as microcystin, are a major global water-quality issue. Water-resource managers need tools to quickly predict when and where toxin-producing cyanoHABs will occur. This could be done by using site-specific models that estimate the potential for elevated toxin concentrations that cause public health concerns. With this study, samples were collected at three Ohio lakes to identify environmental and water-quality factors to develop linear-regression models to estimate microcystin levels. Measures of the algal community (phycocyanin, cyanobacterial biovolume, and cyanobacterial gene concentrations) and pH were most strongly correlated with microcystin concentrations. Cyanobacterial genes were quantified for general cyanobacteria, general Microcystis and Dolichospermum, and for microcystin synthetase (mcyE) for Microcystis, Dolichospermum, and Planktothrix. For phycocyanin, the relations were different between sites and were different between hand-held measurements on-site and nearby continuous monitor measurements for the same site. Continuous measurements of parameters such as phycocyanin, pH, and temperature over multiple days showed the highest correlations to microcystin concentrations. The development of models with high R2values (0.81–0.90), sensitivities (92%), and specificities (100%) for estimating microcystin concentrations above or below the Ohio Recreational Public Health Advisory level of 6 μg L−1 was demonstrated for one site; these statistics may change as more data are collected in subsequent years. This study showed that models could be developed for estimates of exceeding a microcystin threshold concentration at a recreational freshwater lake site, with potential to expand their use to provide relevant public health information to water resource managers and the public for both recreational and drinking waters.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2016.07.003","usgsCitation":"Francy, D.S., Brady, A.M., Ecker, C.D., Graham, J.L., Stelzer, E.A., Struffolino, P., and Loftin, K.A., 2016, Estimating microcystin levels at recreational sites in western Lake Erie and Ohio: Harmful Algae, v. 58, p. 23-34, https://doi.org/10.1016/j.hal.2016.07.003.","productDescription":"12 p.","startPage":"23","endPage":"34","ipdsId":"IP-068433","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":352264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Lake Erie","volume":"58","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee98be4b0da30c1bfc568","contributors":{"authors":[{"text":"Francy, Donna S. 0000-0001-9229-3557 dsfrancy@usgs.gov","orcid":"https://orcid.org/0000-0001-9229-3557","contributorId":1853,"corporation":false,"usgs":true,"family":"Francy","given":"Donna","email":"dsfrancy@usgs.gov","middleInitial":"S.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brady, Amie M.G. 0000-0002-7414-0992 amgbrady@usgs.gov","orcid":"https://orcid.org/0000-0002-7414-0992","contributorId":2544,"corporation":false,"usgs":true,"family":"Brady","given":"Amie","email":"amgbrady@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ecker, Christopher D. 0000-0003-0353-5855 cdecker@usgs.gov","orcid":"https://orcid.org/0000-0003-0353-5855","contributorId":149530,"corporation":false,"usgs":true,"family":"Ecker","given":"Christopher","email":"cdecker@usgs.gov","middleInitial":"D.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":730221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730224,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Struffolino, Pamela","contributorId":202922,"corporation":false,"usgs":false,"family":"Struffolino","given":"Pamela","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":730219,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":730223,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70171462,"text":"70171462 - 2016 - Migratory routes and at-sea threats to Pink-footed Shearwaters","interactions":[],"lastModifiedDate":"2016-09-08T11:56:42","indexId":"70171462","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Migratory routes and at-sea threats to Pink-footed Shearwaters","docAbstract":"The Pink-footed Shearwater (Ardenna creatopus) is a seabird with a breeding range restricted to three islands in Chile and an estimated world population of approximately 56,000 breeding individuals (Muñoz 2011, Oikonos unpublished data). Due to multiple threats on breeding colonies and at-sea, Pink-footed Shearwaters are listed as Endangered by the government of Chile (Reglamento de Clasificación de Especies, 2011), Threatened by the government of Canada (Environment Canada 2008), and are listed under Appendix 1 of the Agreement on the Conservation of Albatrosses and Petrels (ACAP 2013).\r\nA principal conservation concern for the species is mortality from fisheries bycatch during the breeding and non-breeding seasons; thus, identification of areas of overlap between at-sea use by Pink-footed Shearwaters and fisheries is a high priority conservation objective (Hinojosa Sáez and Hodum 1997, Mangel et al. 2013, ACAP 2013). During the non-breeding period, Pink-footed Shearwaters range as far north as Canada, although little was known until recently about migration routes and important wintering areas where fisheries bycatch could be a risk. Additionally, Pink-footed Shearwaters face at-sea threats during the non-breeding season off the west coast of North America. Recently, areas used by wintering Pink-footed Shearwaters have been identified as areas of interest for developing alternative energy offshore in North America (e.g., floating wind generators; Trident Winds 2016). The goal of our study was to track Pink-footed Shearwater post-breeding movements with satellite tags to identify timing and routes of migration, locate important non-breeding foraging habitats, and determine population distribution among different wintering regions.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Seventh Meeting of the Seabird Bycatch Working Group","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh Meeting of the Seabird Bycatch Working Group","conferenceDate":"May 2-4, 2016","conferenceLocation":"La Serena, Chile","language":"English","publisher":"Agreement on the Conservation of Albatrosses and Petrels","usgsCitation":"Adams, J., Felis, J.J., Hodum, P., Colodro, V., Carle, R., and López, V., 2016, Migratory routes and at-sea threats to Pink-footed Shearwaters, in Seventh Meeting of the Seabird Bycatch Working Group, La Serena, Chile, May 2-4, 2016.","ipdsId":"IP-075471","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":328369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321936,"type":{"id":15,"text":"Index Page"},"url":"https://www.acap.aq/en/search14?q=Migratory+routes+and+at-sea+threats+to+Pink-footed+Shearwaters"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28baee4b0571647d0f93a","contributors":{"authors":[{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":2422,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":631080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":631081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hodum, Peter 0000-0003-2160-5132","orcid":"https://orcid.org/0000-0003-2160-5132","contributorId":169797,"corporation":false,"usgs":false,"family":"Hodum","given":"Peter","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colodro, Valentina 0000-0001-9285-3171","orcid":"https://orcid.org/0000-0001-9285-3171","contributorId":169798,"corporation":false,"usgs":false,"family":"Colodro","given":"Valentina","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631083,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carle, Ryan 0000-0002-8213-4306","orcid":"https://orcid.org/0000-0002-8213-4306","contributorId":169799,"corporation":false,"usgs":false,"family":"Carle","given":"Ryan","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631084,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"López, Verónica","contributorId":169800,"corporation":false,"usgs":false,"family":"López","given":"Verónica","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631085,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176491,"text":"70176491 - 2016 - Gopherus Agassizii (Mohave Desert Tortoise). Nest Depredation","interactions":[],"lastModifiedDate":"2017-05-03T13:14:24","indexId":"70176491","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Gopherus Agassizii (Mohave Desert Tortoise). Nest Depredation","docAbstract":"No abstract available.
","language":"English","publisher":"Herpetological Review","usgsCitation":"Henderson, R.A., Puffer, S.R., and Lovich, J.E., 2016, Gopherus Agassizii (Mohave Desert Tortoise). Nest Depredation: Herpetological Review, v. 47, no. 3, p. 446-447.","productDescription":"2 p.","startPage":"446","endPage":"447","ipdsId":"IP-076691","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":328707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c657e4b0bc0bec09c917","contributors":{"authors":[{"text":"Henderson, R. A.","contributorId":174671,"corporation":false,"usgs":false,"family":"Henderson","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":648946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puffer, S. R.","contributorId":174672,"corporation":false,"usgs":false,"family":"Puffer","given":"S.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":648947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":648948,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185230,"text":"70185230 - 2016 - Life history characteristics and vital rates of Yellowstone Cutthroat Trout in two headwater basins","interactions":[],"lastModifiedDate":"2017-03-16T12:45:43","indexId":"70185230","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Life history characteristics and vital rates of Yellowstone Cutthroat Trout in two headwater basins","docAbstract":"The Yellowstone Cutthroat Trout Oncorhynchus clarkii bouvieri is native to the Rocky Mountains and has declined in abundance and distribution as a result of habitat degradation and introduced salmonid species. Many of its remaining strongholds are in headwater basins with minimal human disturbances. Understanding the life histories, vital rates, and behaviors of Yellowstone Cutthroat Trout within headwater stream networks remains limited yet is critical for effective management and conservation. We estimated annual relative growth in length and weight, annual survival rates, and movement patterns of Yellowstone Cutthroat Trout from three tributaries of Spread Creek, Wyoming, and two tributaries of Shields River, Montana, from 2011 through 2013 using PIT tag antennas within a mark–recapture framework. Mean annual growth rates varied among tributaries and size-classes, but were slow compared with populations of Yellowstone Cutthroat Trout from large, low-elevation streams. Survival rates were relatively high compared with those of other Cutthroat Trout subspecies, but we found an inverse relationship between survival and size, a pattern contrary to what has been reported for Cutthroat Trout in large streams. Mean annual survival rates ranged from 0.32 (SE = 0.04) to 0.68 (SE = 0.05) in the Spread Creek basin and from 0.30 (SE = 0.07) to 0.69 (SE = 0.10) in the Shields River basin. Downstream movements from tributaries were substantial, with as much as 26.5% of a tagging cohort leaving over the course of the study. Integrating our growth, survival, and movement results demonstrates the importance of considering strategies to enhance headwater stream habitats and highlights the importance of connectivity with larger stream networks.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1206643","usgsCitation":"Uthe, P., Al-Chokhachy, R.K., Zale, A.V., Shepard, B.B., McMahon, T., and Stephens, T., 2016, Life history characteristics and vital rates of Yellowstone Cutthroat Trout in two headwater basins: North American Journal of Fisheries Management, v. 36, no. 6, p. 1240-1253, https://doi.org/10.1080/02755947.2016.1206643.","productDescription":"14 p.","startPage":"1240","endPage":"1253","ipdsId":"IP-076407","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":337749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-30","publicationStatus":"PW","scienceBaseUri":"58cba41be4b0849ce97dc746","contributors":{"authors":[{"text":"Uthe, Patrick","contributorId":189424,"corporation":false,"usgs":false,"family":"Uthe","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":684806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":684805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":684807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shepard, Bradley B.","contributorId":145880,"corporation":false,"usgs":false,"family":"Shepard","given":"Bradley","email":"","middleInitial":"B.","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":684808,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMahon, Thomas E.","contributorId":189425,"corporation":false,"usgs":false,"family":"McMahon","given":"Thomas E.","affiliations":[],"preferred":false,"id":684809,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stephens, Tracy","contributorId":189426,"corporation":false,"usgs":false,"family":"Stephens","given":"Tracy","email":"","affiliations":[],"preferred":false,"id":684810,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70185041,"text":"70185041 - 2016 - Invariant polar bear habitat selection during a period of sea ice loss","interactions":[],"lastModifiedDate":"2017-03-15T13:52:56","indexId":"70185041","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Invariant polar bear habitat selection during a period of sea ice loss","docAbstract":"Climate change is expected to alter many species' habitat. A species' ability to adjust to these changes is partially determined by their ability to adjust habitat selection preferences to new environmental conditions. Sea ice loss has forced polar bears (Ursus maritimus) to spend longer periods annually over less productive waters, which may be a primary driver of population declines. A negative population response to greater time spent over less productive water implies, however, that prey are not also shifting their space use in response to sea ice loss. We show that polar bear habitat selection in the Chukchi Sea has not changed between periods before and after significant sea ice loss, leading to a 75% reduction of highly selected habitat in summer. Summer was the only period with loss of highly selected habitat, supporting the contention that summer will be a critical period for polar bears as sea ice loss continues. Our results indicate that bears are either unable to shift selection patterns to reflect new prey use patterns or that there has not been a shift towards polar basin waters becoming more productive for prey. Continued sea ice loss is likely to further reduce habitat with population-level consequences for polar bears.
","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rspb.2016.0380","usgsCitation":"Wilson, R.H., Regehr, E.V., Rode, K.D., and St. Martin, M., 2016, Invariant polar bear habitat selection during a period of sea ice loss: Proceedings of the Royal Society B: Biological Sciences, v. 283, no. 1836, Article 20160380, https://doi.org/10.1098/rspb.2016.0380.","productDescription":"Article 20160380","ipdsId":"IP-073051","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":470605,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2016.0380","text":"Publisher Index Page"},{"id":337645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"283","issue":"1836","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-17","publicationStatus":"PW","scienceBaseUri":"58ca52cee4b0849ce97c86b0","chorus":{"doi":"10.1098/rspb.2016.0380","url":"http://dx.doi.org/10.1098/rspb.2016.0380","publisher":"The Royal Society","authors":"Wilson Ryan R., Regehr Eric V., Rode Karyn D., St Martin Michelle","journalName":"Proceedings of the Royal Society B: Biological Sciences","publicationDate":"8/17/2016","auditedOn":"9/12/2016","publiclyAccessibleDate":"8/17/2016"},"contributors":{"authors":[{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":684038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":684039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":684037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"St. Martin, Michelle","contributorId":189169,"corporation":false,"usgs":false,"family":"St. Martin","given":"Michelle","affiliations":[],"preferred":false,"id":684040,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188433,"text":"70188433 - 2016 - Synthesis and revision of the lithostratigraphic groups and formations in the Upper Permian?–Lower Jurassic Newark Supergroup of eastern North America","interactions":[],"lastModifiedDate":"2017-06-09T14:35:50","indexId":"70188433","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Synthesis and revision of the lithostratigraphic groups and formations in the Upper Permian?–Lower Jurassic Newark Supergroup of eastern North America","docAbstract":"The Upper Permian? - Lower Jurassic Newark Supergroup of eastern North America has a strikingly uniform succession of lithologic units. This uniformity is seen regardless of whether these units are characterized on the basis of their lithostratigraphy, allostratigraphy, biostratigraphy, or chemostratigraphy. After deposition, these units were broken up tectonically and attacked erosionally; parts of them survive today only within localized, down-faulted areas. Many lines of evidence compellingly demonstrate that most or all of these remnant units once were physically continuous between remaining outcrops. It is needlessly confusing to give every remnant of each unit a different name in each area where it persists simply because it is now physically isolated by erosion from other portions of the same unit. Instead, these units should be defined within a regional lithostratigraphic framework that emphasizes their common origins and original stratigraphic continuity. To this end, the formation-level stratigraphy of the Newark Supergroup is reduced from 58 locally applied and locally defined formations to a succession of only 16 uniformly defined and regionally recognizable formations. In all cases the oldest name validly applied to each formation is given priority over more recently erected synonymous names, which are either abandoned or, in a few cases, changed in rank to a member of one of the formations recognized here. The Newark Supergroup is here organized into four regionally recognizable groups, each subdivided into regionally recognizable formations. In ascending order, the Upper Permian?-Middle Triassic Acadia Group (new name) includes the Honeycomb Point Formation, Chedabucto Formation, Economy Formation, and Evangeline Formation. This group is preserved only in the Canadian Fundy and Chedabucto basins. The Upper Triassic (Carnian-Norian) Chatham Group includes the Doswell Formation, Stockton Formation, Lockatong Formation, and Passaic Formation. The Upper Triassic-Lower Jurassic (upper Rhaetian-lower Hettangian) Meriden Group includes the Talcott Formation, Shuttle Meadow Formation, Holyoke Formation, East Berlin Formation, and Hampden Formation. The term \"Agawam Group,\" previously proposed to encompass all Newark Supergroup strata above the highest basalt of the Meriden Group, is here abandoned and replaced with the name \"Portland Group\" for the same suite of strata. The Lower Jurassic (upper Hettangian-lower Sinemurian) Portland Group includes a lower Boonton Formation, an overlying Longmeadow Sandstone (here reinstated), and the Mount Toby Conglomerate, which laterally intertongues with both the Boonton Formation and the Longmeadow Sandstone.
","language":"English","publisher":"Micropaleontology Press","usgsCitation":"Weems, R.E., Tanner, L.H., and Lucas, S.G., 2016, Synthesis and revision of the lithostratigraphic groups and formations in the Upper Permian?–Lower Jurassic Newark Supergroup of eastern North America: Stratigraphy, v. 13, no. 2, p. 111-153.","productDescription":"43 p.","startPage":"111","endPage":"153","ipdsId":"IP-070837","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342332,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-326/article-1988"}],"volume":"13","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593bb3a1e4b0764e6c60e7b8","contributors":{"authors":[{"text":"Weems, Robert E. 0000-0002-1907-7804 rweems@usgs.gov","orcid":"https://orcid.org/0000-0002-1907-7804","contributorId":2663,"corporation":false,"usgs":true,"family":"Weems","given":"Robert","email":"rweems@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":697716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tanner, Lawrence H.","contributorId":192775,"corporation":false,"usgs":false,"family":"Tanner","given":"Lawrence","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":697717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lucas, Spencer G.","contributorId":192776,"corporation":false,"usgs":false,"family":"Lucas","given":"Spencer","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":697718,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185047,"text":"70185047 - 2016 - Chronic wasting disease drives population decline of white-tailed deer","interactions":[],"lastModifiedDate":"2017-03-13T15:32:06","indexId":"70185047","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","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":"Chronic wasting disease drives population decline of white-tailed deer","docAbstract":"Chronic wasting disease (CWD) is an invariably fatal transmissible spongiform encephalopathy of white-tailed deer, mule deer, elk, and moose. Despite a 100% fatality rate, areas of high prevalence, and increasingly expanding geographic endemic areas, little is known about the population-level effects of CWD in deer. To investigate these effects, we tested the null hypothesis that high prevalence CWD did not negatively impact white-tailed deer population sustainability. The specific objectives of the study were to monitor CWD-positive and CWD-negative white-tailed deer in a high-prevalence CWD area longitudinally via radio-telemetry and global positioning system (GPS) collars. For the two populations, we determined the following: a) demographic and disease indices, b) annual survival, and c) finite rate of population growth (λ). The CWD prevalence was higher in females (42%) than males (28.8%) and hunter harvest and clinical CWD were the most frequent causes of mortality, with CWD-positive deer over-represented in harvest and total mortalities. Survival was significantly lower for CWD-positive deer and separately by sex; CWD-positive deer were 4.5 times more likely to die annually than CWD-negative deer while bucks were 1.7 times more likely to die than does. Population λ was 0.896 (0.859–0.980), which indicated a 10.4% annual decline. We show that a chronic disease that becomes endemic in wildlife populations has the potential to be population-limiting and the strong population-level effects of CWD suggest affected populations are not sustainable at high disease prevalence under current harvest levels.
","language":"English","publisher":"PLOS One","doi":"10.1371/journal.pone.0161127","usgsCitation":"Edmunds, D.R., Kauffman, M., Schumaker, B., Lindzey, F.G., Cook, W., Kreeger, T.J., Grogan, R., and Cornish, T., 2016, Chronic wasting disease drives population decline of white-tailed deer: PLoS ONE, v. 11, no. 8, p. 1-19, https://doi.org/10.1371/journal.pone.0161127.","productDescription":"e0161127; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-075014","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470620,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0161127","text":"Publisher Index Page"},{"id":337463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-30","publicationStatus":"PW","scienceBaseUri":"58c7afa0e4b0849ce9795ea0","contributors":{"authors":[{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":684066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Matthew mkauffman@usgs.gov","contributorId":171443,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":684065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schumaker, Brant","contributorId":189181,"corporation":false,"usgs":false,"family":"Schumaker","given":"Brant","affiliations":[],"preferred":false,"id":684067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindzey, Frederick G.","contributorId":189182,"corporation":false,"usgs":false,"family":"Lindzey","given":"Frederick","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":684068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Walter","contributorId":189183,"corporation":false,"usgs":false,"family":"Cook","given":"Walter","email":"","affiliations":[],"preferred":false,"id":684069,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kreeger, Terry J.","contributorId":189227,"corporation":false,"usgs":false,"family":"Kreeger","given":"Terry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":684070,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grogan, Ronald","contributorId":189185,"corporation":false,"usgs":false,"family":"Grogan","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":684071,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cornish, Todd","contributorId":189186,"corporation":false,"usgs":false,"family":"Cornish","given":"Todd","email":"","affiliations":[],"preferred":false,"id":684072,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70170460,"text":"ds987 - 2016 - Groundwater-quality data in the Monterey–Salinas shallow aquifer study unit, 2013: Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2017-01-18T09:45:02","indexId":"ds987","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","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":"987","title":"Groundwater-quality data in the Monterey–Salinas shallow aquifer study unit, 2013: Results from the California GAMA Program","docAbstract":"Groundwater quality in the 3,016-square-mile Monterey–Salinas Shallow Aquifer study unit was investigated by the U.S. Geological Survey (USGS) from October 2012 to May 2013 as part of the California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment (GAMA) Program’s Priority Basin Project. The GAMA Monterey–Salinas Shallow Aquifer study was designed to provide a spatially unbiased assessment of untreated-groundwater quality in the shallow-aquifer systems in parts of Monterey and San Luis Obispo Counties and to facilitate statistically consistent comparisons of untreated-groundwater quality throughout California. The shallow-aquifer system in the Monterey–Salinas Shallow Aquifer study unit was defined as those parts of the aquifer system shallower than the perforated depth intervals of public-supply wells, which generally corresponds to the part of the aquifer system used by domestic wells. Groundwater quality in the shallow aquifers can differ from the quality in the deeper water-bearing zones; shallow groundwater can be more vulnerable to surficial contamination.
Samples were collected from 170 sites that were selected by using a spatially distributed, randomized grid-based method. The study unit was divided into 4 study areas, each study area was divided into grid cells, and 1 well was sampled in each of the 100 grid cells (grid wells). The grid wells were domestic wells or wells with screen depths similar to those in nearby domestic wells. A greater spatial density of data was achieved in 2 of the study areas by dividing grid cells in those study areas into subcells, and in 70 subcells, samples were collected from exterior faucets at sites where there were domestic wells or wells with screen depths similar to those in nearby domestic wells (shallow-well tap sites).
Field water-quality indicators (dissolved oxygen, water temperature, pH, and specific conductance) were measured, and samples for analysis of inorganic constituents (trace elements, nutrients, major and minor ions, silica, total dissolved solids, and alkalinity) were collected at all 170 sites. In addition to these constituents, the samples from grid wells were analyzed for organic constituents (volatile organic compounds, pesticides and pesticide degradates), constituents of special interest (perchlorate and N-nitrosodimethylamine, or NDMA), radioactive constituents (radon-222 and gross-alpha and gross-beta radioactivity), and geochemical and age-dating tracers (stable isotopes of carbon in dissolved inorganic carbon, carbon-14 abundances, stable isotopes of hydrogen and oxygen in water, and tritium activities).
Three types of quality-control samples (blanks, replicates, and matrix spikes) were collected at up to 11 percent of the wells in the Monterey–Salinas Shallow Aquifer study unit, and the results for these samples were used to evaluate the quality of the data from the groundwater samples. With the exception of trace elements, blanks rarely contained detectable concentrations of any constituent, indicating that contamination from sample-collection procedures was not a significant source of bias in the data for the groundwater samples. Low concentrations of some trace elements were detected in blanks; therefore, the data were re-censored at higher reporting levels. Replicate samples generally were within the limits of acceptable analytical reproducibility. The median values of matrix-spike recoveries were within the acceptable range (70 to 130 percent) for the volatile organic compounds (VOCs) and N-nitrosodimethylamine (NDMA), but were only approximately 64 percent for pesticides and pesticide degradates.
The sample-collection protocols used in this study were designed to obtain representative samples of groundwater. The quality of groundwater can differ from the quality of drinking water because water chemistry can change as a result of contact with plumbing systems or the atmosphere; because of treatment, disinfection, or blending with water from other sources; or some combination of these. Water quality in domestic wells is not regulated in California, however, to provide context for the water-quality data presented in this report, results were compared to benchmarks established for drinking-water quality. The primary comparison benchmarks were maximum contaminant levels established by the U.S. Environmental Protection Agency and the State of California (MCL-US and MCL-CA, respectively). Non-regulatory benchmarks were used for constituents without maximum contaminant levels (MCLs), including Health
Based Screening Levels (HBSLs) developed by the USGS and State of California secondary maximum contaminant levels (SMCL-CA) and notification levels. Most constituents detected in samples from the Monterey–Salinas Shallow Aquifer study unit had concentrations less than their respective benchmarks.
Of the 148 organic constituents analyzed in the 100 grid-well samples, 38 were detected, and all concentrations were less than the benchmarks. Volatile organic compounds were detected in 26 of the grid wells, and pesticides and pesticide degradates were detected in 28 grid wells. The special-interest constituent NDMA was detected above the HBSL in three samples, one of which also had a perchlorate concentration greater than the MCL-CA.
Of the inorganic constituents, 6 were detected at concentrations above their respective MCL benchmarks in grid-well samples: arsenic (5 grid wells above the MCL of 10 micrograms per liter, μg/L), selenium (3 grid wells, MCL of 50 μg/L), uranium (4 grid wells, MCL of 30 μg/L), nitrate (16 grid wells, MCL of 10 milligrams per liter, mg/L), adjusted gross alpha particle activity (10 grid wells, MCL of 15 picocuries per liter, pCi/L), and gross beta particle activity (1 grid well, MCL of 50 pCi/L). An additional 4 inorganic constituents were detected at concentrations above their respective HBSL benchmarks in grid-well samples: boron (1 grid well above the HBSL of 6,000 μg/L), manganese (8 grid wells, HBSL of 300 μg/L), molybdenum (6 grid wells, HBSL of 40 μg/L), and strontium (6 grid wells, HBSL of 4,000 μg/L). Of the inorganic constituents, 4 were detected at concentrations above their non-health based SMCL benchmarks in grid-well samples: iron (9 grid wells above the SMCL of 300 μg/L), chloride (7 grid wells, SMCL of 500 mg/L), sulfate (14 grid wells, SMCL of 500 mg/L), and total dissolved solids (27 grid wells, SMCL of 1,000 mg/L).
Of the inorganic constituents analyzed in the 70 shallow-well tap sites, 10 were detected at concentrations above the benchmarks. Of the inorganic constituents, 3 were detected at concentrations above their respective MCL benchmarks in shallow-well tap sites: arsenic (2 shallow-well tap sites above the MCL of 10 μg/L), uranium (2 shallow-well tap sites, MCL of 30 μg/L), and nitrate (24 shallow-well tap sites, MCL of 10 mg/L). An additional 3 inorganic constituents were detected above their respective HBSL benchmarks in shallow-well tap sites: manganese (4 shallow-well tap sites above the HBSL of 300 μg/L), molybdenum (4 shallow-well tap sites, HBSL of 40 μg/L), and zinc (2 shallow-well tap sites, HBSL of 2,000 μg/L). Of the inorganic constituents, 4 were detected at concentrations above their non-health based SMCL benchmarks in shallow-well tap sites: iron (6 shallow-well tap sites above the SMCL of 300 μg/L), chloride (1 shallow-well tap site, SMCL of 500 mg/L), sulfate (9 shallow-well tap sites, SMCL of 500 mg/L), and total dissolved solids (15 shallow-well tap sites, SMCL of 1,000 mg/L).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds987","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Goldrath, D.A., Kulongoski, J.T., and Davis, T.A., 2015, Groundwater-quality data in the Monterey–Salinas shallow aquifer study unit, (ver. 1.1, January 2017): Results from the California GAMA Program: U.S. Geological Survey Data Series 987, 132 p., https://dx.doi.org/10.3133/ds987.","productDescription":"ix, 132 p. ","numberOfPages":"146","onlineOnly":"Y","ipdsId":"IP-049716","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":333267,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/0987/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"}},{"id":328193,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0987/coverthb2.jpg"},{"id":328194,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0987/ds0987.pdf","text":"Report","size":"17.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 987"}],"country":"United States","state":"California ","otherGeospatial":"Monterey–Salinas Shallow Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.08282470703124,\n 36.96086580957587\n ],\n [\n -122.05261230468751,\n 36.9367208722872\n ],\n [\n -122.01690673828124,\n 36.94769679250732\n ],\n [\n -121.981201171875,\n 36.954281585675965\n ],\n [\n -121.9317626953125,\n 36.95647639022989\n ],\n [\n -121.88507080078125,\n 36.94111143010772\n ],\n [\n -121.85760498046875,\n 36.88181755936464\n ],\n [\n -121.827392578125,\n 36.82687474287728\n ],\n [\n -121.80816650390625,\n 36.78949107451841\n ],\n [\n -121.827392578125,\n 36.71687068791304\n ],\n [\n -121.85211181640625,\n 36.65079252503471\n ],\n [\n -121.871337890625,\n 36.62214102821768\n ],\n [\n -121.91802978515625,\n 36.64858894203172\n ],\n [\n -121.95648193359374,\n 36.64638529597495\n ],\n [\n -121.8878173828125,\n 36.59347887826919\n ],\n [\n -121.80816650390625,\n 36.619936625629215\n ],\n [\n -121.75872802734375,\n 36.65079252503471\n ],\n [\n -121.58843994140625,\n 36.578041001498704\n ],\n [\n -121.30004882812499,\n 36.295204533693536\n ],\n [\n -121.11328124999999,\n 36.140092827322654\n ],\n [\n -120.84136962890625,\n 35.89572525865906\n ],\n [\n -120.80291748046874,\n 35.811131416437966\n ],\n [\n -120.794677734375,\n 35.708607653285505\n ],\n [\n -120.46234130859376,\n 35.5188142812306\n ],\n [\n -120.22338867187499,\n 35.42486791930558\n ],\n [\n -120.00640869140624,\n 35.33529320309331\n ],\n [\n -119.86633300781249,\n 35.290468565908775\n ],\n [\n -119.76470947265625,\n 35.3285710912542\n ],\n [\n -119.674072265625,\n 35.250105158539355\n ],\n [\n -119.5806884765625,\n 35.191766965947394\n ],\n [\n -119.4873046875,\n 35.10193405724606\n ],\n [\n -119.43237304687499,\n 35.05922870088872\n ],\n [\n -119.29229736328126,\n 35.02099970111467\n ],\n [\n -119.07531738281251,\n 35.007502842952896\n ],\n [\n -119.02587890624999,\n 35.0502352513963\n ],\n [\n -119.02862548828125,\n 35.11766197360177\n ],\n [\n -119.05334472656249,\n 35.18952235197259\n ],\n [\n -119.25933837890624,\n 35.28374272801905\n ],\n [\n -119.43237304687499,\n 35.411438052435464\n ],\n [\n -119.49005126953124,\n 35.49198366469642\n ],\n [\n -119.65484619140625,\n 35.54116627999815\n ],\n [\n -119.91577148437499,\n 35.69522525087309\n ],\n [\n -120.09979248046874,\n 35.70414710206052\n ],\n [\n -120.24261474609374,\n 35.72421761691415\n ],\n [\n -120.28930664062499,\n 35.86456960744962\n ],\n [\n -120.9320068359375,\n 36.20660692859011\n ],\n [\n -121.13525390625,\n 36.575835338491764\n ],\n [\n -121.4813232421875,\n 36.85325222344018\n ],\n [\n -121.63238525390626,\n 36.901587303978474\n ],\n [\n -121.76422119140625,\n 36.97183825093165\n ],\n [\n -121.82464599609375,\n 37.00035919622158\n ],\n [\n -121.92626953124999,\n 37.00913272027146\n ],\n [\n -122.04986572265624,\n 37.01351910258053\n ],\n [\n -122.08282470703124,\n 36.96086580957587\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: September 1, 2016; Version 1.1: January 7, 2017","contact":"Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, CA 95819
http://ca.water.usgs.gov
Frequent high-resolution measurements of topography at active volcanoes can provide important information for assessing the distribution and rate of emplacement of volcanic deposits and their influence on hazard. At dome-building volcanoes, monitoring techniques such as LiDAR and photogrammetry often provide a limited view of the area affected by the eruption. Here, we show the ability of satellite radar observations to image the lava dome and pyroclastic density current deposits that resulted from 15 years of eruptive activity at Soufrière Hills Volcano, Montserrat, from 1995 to 2010. We present the first geodetic measurements of the complete subaerial deposition field on Montserrat, including the lava dome. Synthetic aperture radar observations from the Advanced Land Observation Satellite (ALOS) and TanDEM-X mission are used to map the distribution and magnitude of elevation changes. We estimate a net dense-rock equivalent volume increase of 108 ± 15M m3 of the lava dome and 300 ± 220M m3 of talus and subaerial pyroclastic density current deposits. We also show variations in deposit distribution during different phases of the eruption, with greatest on-land deposition to the south and west, from 1995 to 2005, and the thickest deposits to the west and north after 2005. We conclude by assessing the potential of using radar-derived topographic measurements as a tool for monitoring and hazard assessment during eruptions at dome-building volcanoes.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01291.1","usgsCitation":"Arnold, D.W., Biggs, J., Wadge, G., Ebmeier, S., Odbert, H.M., and Poland, M., 2016, Dome growth, collapse, and valley fill at Soufrière Hills Volcano, Montserrat, from 1995 to 2013: Contributions from satellite radar measurements of topographic change: Geosphere, v. 12, no. 4, p. 1300-1315, https://doi.org/10.1130/GES01291.1.","productDescription":"16 p.","startPage":"1300","endPage":"1315","ipdsId":"IP-070549","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470628,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01291.1","text":"Publisher Index Page"},{"id":328212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-27","publicationStatus":"PW","scienceBaseUri":"57c9431ce4b0f2f0cec13567","contributors":{"authors":[{"text":"Arnold, D. W. D.","contributorId":174270,"corporation":false,"usgs":false,"family":"Arnold","given":"D.","email":"","middleInitial":"W. D.","affiliations":[],"preferred":false,"id":647783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggs, J.","contributorId":59241,"corporation":false,"usgs":true,"family":"Biggs","given":"J.","affiliations":[],"preferred":false,"id":647784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wadge, G.","contributorId":35106,"corporation":false,"usgs":true,"family":"Wadge","given":"G.","affiliations":[],"preferred":false,"id":647785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ebmeier, S. K.","contributorId":174271,"corporation":false,"usgs":false,"family":"Ebmeier","given":"S. K.","affiliations":[],"preferred":false,"id":647786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Odbert, H. M.","contributorId":174272,"corporation":false,"usgs":false,"family":"Odbert","given":"H.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":647787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":647782,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176346,"text":"70176346 - 2016 - Resource management and operations in central North Dakota: Climate change scenario planning workshop summary November 12-13, 2015, Bismarck, ND","interactions":[],"lastModifiedDate":"2017-12-19T09:43:22","indexId":"70176346","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/NRR--2016/1262","title":"Resource management and operations in central North Dakota: Climate change scenario planning workshop summary November 12-13, 2015, Bismarck, ND","docAbstract":"The Scaling Climate Change Adaptation in the Northern Great Plains through Regional Climate Summaries and Local Qualitative-Quantitative Scenario Planning Workshops project synthesizes climate data into 3-5 distinct but plausible climate summaries for the northern Great Plains region; crafts quantitative summaries of these climate futures for two focal areas; and applies these local summaries by developing climate-resource-management scenarios through participatory workshops and, where possible, simulation models. The two focal areas are central North Dakota and southwest South Dakota (Figure 1). The primary objective of this project is to help resource managers and scientists in a focal area use scenario planning to make management and planning decisions based on assessments of critical future uncertainties.
This report summarizes project work for public and tribal lands in the central North Dakota focal area, with an emphasis on Knife River Indian Villages National Historic Site. The report explains
scenario planning as an adaptation tool in general, then describes how it was applied to the central North Dakota focal area in three phases. Priority resource management and climate uncertainties were identified in the orientation phase. Local climate summaries for relevant, divergent, and challenging climate scenarios were developed in the second phase. In the final phase, a two-day scenario planning workshop held November 12-13, 2015 in Bismarck, ND, featured scenario development and implications, testing management decisions, and methods for operationalizing scenario planning outcomes.
Geomorphic confirmation for a putative ancient Mars ocean relies on analog comparisons of coastal-like features such as shoreline feature attributes and temporal scales of process formation. Pleistocene Lake Bonneville is one of the few large, geologically young, terrestrial lake systems that exemplify well-preserved shoreline characteristics that formed quickly, on the order of a thousand years or less. Studies of Lake Bonneville provide two essential analog considerations for interpreting shorelines on Mars: (1) morphological variations in expression depend on constructional vs erosional processes, and (2) shorelines are not always correlative at an equipotential elevation across a basin due to isostasy, heat flow, wave setup, fetch, and other factors. Although other large terrestrial lake systems display supporting evidence for geomorphic comparisons, Lake Bonneville encompasses the most integrated examples of preserved coastal features related to basin history, sediment supply, climate, and fetch, all within the context of a detailed hydrograph. These collective terrestrial lessons provide a framework to evaluate possible boundary conditions for ancient Mars hydrology and large water body environmental feedbacks. This knowledge of shoreline characteristics, processes, and environments can support explorations of habitable environments and guide future mission explorations.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Developments in earth surface processes, Volume 20","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-63590-7.00021-4","usgsCitation":"Chan, M., Jewell, P., Parker, T.J., Ormo, J., Okubo, C., and Komatsu, G., 2016, Pleistocene Lake Bonneville as an analog for extraterrestrial lakes and oceans, chap. 21 of Developments in earth surface processes, Volume 20, v. 20, p. 570-597, https://doi.org/10.1016/B978-0-444-63590-7.00021-4.","productDescription":"28 p.","startPage":"570","endPage":"597","ipdsId":"IP-068865","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":328157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c94321e4b0f2f0cec135a4","contributors":{"authors":[{"text":"Chan, M.A.","contributorId":52340,"corporation":false,"usgs":true,"family":"Chan","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":647724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jewell, P.","contributorId":77843,"corporation":false,"usgs":true,"family":"Jewell","given":"P.","email":"","affiliations":[],"preferred":false,"id":647725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, T. J.","contributorId":30776,"corporation":false,"usgs":false,"family":"Parker","given":"T.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":647726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ormo, J.","contributorId":55626,"corporation":false,"usgs":true,"family":"Ormo","given":"J.","affiliations":[],"preferred":false,"id":647727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Okubo, Chris 0000-0001-9776-8128 cokubo@usgs.gov","orcid":"https://orcid.org/0000-0001-9776-8128","contributorId":174209,"corporation":false,"usgs":true,"family":"Okubo","given":"Chris","email":"cokubo@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":647723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Komatsu, G.","contributorId":35913,"corporation":false,"usgs":true,"family":"Komatsu","given":"G.","email":"","affiliations":[],"preferred":false,"id":647728,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176363,"text":"70176363 - 2016 - Differences found in the macroinvertebrate community composition in the presence or absence of the invasive alien crayfish, Orconectes hylas","interactions":[],"lastModifiedDate":"2016-09-09T15:38:17","indexId":"70176363","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","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":"Differences found in the macroinvertebrate community composition in the presence or absence of the invasive alien crayfish, Orconectes hylas","docAbstract":"Introductions of alien species into aquatic ecosystems have been well documented, including invasions of crayfish species; however, little is known about the effects of these introductions on macroinvertebrate communities. The woodland crayfish (Orconectes hylas (Faxon)) has been introduced into the St. Francis River watershed in southeast Missouri and has displaced populations of native crayfish. The effects of O. hylas on macroinvertebrate community composition were investigated in a fourth-order Ozark stream at two locations, one with the presence of O. hylas and one without. Significant differences between sites and across four sampling periods and two habitats were found in five categories of benthic macroinvertebrate metrics: species richness, percent/composition, dominance/diversity, functional feeding groups, and biotic indices. In most seasons and habitat combinations, the invaded site had significantly higher relative abundance of riffle beetles (Coleoptera: Elmidae), and significantly lower Missouri biotic index values, total taxa richness, and both richness and relative abundance of midges (Diptera: Chironomidae). Overall study results indicate that some macroinvertebrate community differences due to the O. hylas invasion were not consistent between seasons and habitats, suggesting that further research on spatial and temporal habitat use and feeding ecology of Ozark crayfish species is needed to improve our understanding of the effects of these invasions on aquatic communities.
","language":"English","publisher":"PLOS ONE","doi":"10.1371/journal.pone.0150199","usgsCitation":"Freeland-Riggert, B.T., Cairns, S.H., Poulton, B.C., and Riggert, C.M., 2016, Differences found in the macroinvertebrate community composition in the presence or absence of the invasive alien crayfish, Orconectes hylas: PLoS ONE, v. 11, no. 3, e0150199: 27 p., https://doi.org/10.1371/journal.pone.0150199.","productDescription":" e0150199: 27 p.","ipdsId":"IP-063217","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":470601,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0150199","text":"Publisher Index Page"},{"id":328469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-17","publicationStatus":"PW","scienceBaseUri":"57d3dd36e4b0571647d19a4b","contributors":{"authors":[{"text":"Freeland-Riggert, Brandye T.","contributorId":174531,"corporation":false,"usgs":false,"family":"Freeland-Riggert","given":"Brandye","email":"","middleInitial":"T.","affiliations":[{"id":27465,"text":"University of Central Missouri, 108 W South St., Warrensburg, MO","active":true,"usgs":false}],"preferred":false,"id":648524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cairns, Stefan H.","contributorId":174532,"corporation":false,"usgs":false,"family":"Cairns","given":"Stefan","email":"","middleInitial":"H.","affiliations":[{"id":27465,"text":"University of Central Missouri, 108 W South St., Warrensburg, MO","active":true,"usgs":false}],"preferred":false,"id":648525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":648523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riggert, Chris M.","contributorId":174533,"corporation":false,"usgs":false,"family":"Riggert","given":"Chris","email":"","middleInitial":"M.","affiliations":[{"id":27466,"text":"Missouri Department of Conservation, Jefferson City, MO","active":true,"usgs":false}],"preferred":false,"id":648526,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176664,"text":"70176664 - 2016 - The role of crystallization-driven exsolution on the sulfur mass balance in volcanic arc magmas","interactions":[],"lastModifiedDate":"2016-09-23T15:42:50","indexId":"70176664","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"The role of crystallization-driven exsolution on the sulfur mass balance in volcanic arc magmas","docAbstract":"The release of large amounts of sulfur to the stratosphere during explosive eruptions affects the radiative balance in the atmosphere and consequentially impacts climate for up to several years after the event. Quantitative estimations of the processes that control the mass balance of sulfur between melt, crystals, and vapor bubbles is needed to better understand the potential sulfur yield of individual eruption events and the conditions that favor large sulfur outputs to the atmosphere. The processes that control sulfur partitioning in magmas are (1) exsolution of volatiles (dominantly H2O) during decompression (first boiling) and during isobaric crystallization (second boiling), (2) the crystallization and breakdown of sulfide or sulfate phases in the magma, and (3) the transport of sulfur-rich vapor (gas influx) from deeper unerupted regions of the magma reservoir. Vapor exsolution and the formation/breakdown of sulfur-rich phases can all be considered as closed-system processes where mass balance arguments are generally easier to constrain, whereas the contribution of sulfur by vapor transport (open system process) is more difficult to quantify. The ubiquitous “excess sulfur” problem, which refers to the much higher sulfur mass released during eruptions than what can be accounted for by amount of sulfur originally dissolved in erupted melt, as estimated from melt inclusion sulfur concentrations (the “petrologic estimate”), reflects the challenges in closing the sulfur mass balance between crystals, melt, and vapor before and during a volcanic eruption. In this work, we try to quantify the relative importance of closed- and open-system processes for silicic arc volcanoes using kinetic models of sulfur partitioning during exsolution. Our calculations show that crystallization-induced exsolution (second boiling) can generate a significant fraction of the excess sulfur observed in crystal-rich arc magmas. This result does not negate the important role of vapor migration in sulfur mass balance but rather points out that second boiling (in situ exsolution) can provide the necessary yield to drive the excess sulfur to the levels observed for crystal-rich systems. In contrast, in crystal-poor systems, magma recharge that releases sulfur-rich bubbles is necessary and most likely the primary contributor to sulfur mass balance. Finally, we apply our model to account for the effect of sulfur partitioning during second boiling and its impact on sulfur released during the Cerro Galan supereruption in Argentina (2.08 Ma) and show the potential importance of second boiling in releasing a large amount of sulfur to the atmosphere during the eruption of large crystal-rich ignimbrites.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JB013184","usgsCitation":"Su, Y., Huber, C., Bachmann, O., Zajacz, Z., Wright, H.M., and Vazquez, J.A., 2016, The role of crystallization-driven exsolution on the sulfur mass balance in volcanic arc magmas: Journal of Geophysical Research B: Solid Earth, v. 121, no. 8, p. 5624-5640, https://doi.org/10.1002/2016JB013184.","productDescription":"27 p.","startPage":"5624","endPage":"5640","ipdsId":"IP-062977","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470602,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013184","text":"Publisher Index Page"},{"id":328936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-03","publicationStatus":"PW","scienceBaseUri":"57f7c657e4b0bc0bec09c90d","contributors":{"authors":[{"text":"Su, Yanqing","contributorId":174886,"corporation":false,"usgs":false,"family":"Su","given":"Yanqing","email":"","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":649546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huber, Christian","contributorId":174887,"corporation":false,"usgs":false,"family":"Huber","given":"Christian","email":"","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":649547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bachmann, Olivier","contributorId":101030,"corporation":false,"usgs":true,"family":"Bachmann","given":"Olivier","affiliations":[],"preferred":false,"id":649548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zajacz, Zoltan","contributorId":174888,"corporation":false,"usgs":false,"family":"Zajacz","given":"Zoltan","email":"","affiliations":[],"preferred":false,"id":649549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wright, Heather M. 0000-0001-9013-507X hwright@usgs.gov","orcid":"https://orcid.org/0000-0001-9013-507X","contributorId":3949,"corporation":false,"usgs":true,"family":"Wright","given":"Heather","email":"hwright@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":649550,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":649551,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178668,"text":"70178668 - 2016 - Estimating 40 years of nitrogen deposition in global biomes using the SCIAMACHY NO2 column","interactions":[],"lastModifiedDate":"2017-04-25T16:47:59","indexId":"70178668","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Estimating 40 years of nitrogen deposition in global biomes using the SCIAMACHY NO2 column","docAbstract":"Owing to human activity, global nitrogen (N) cycles have been altered. In the past 100 years, global N deposition has increased. Currently, the monitoring and estimating of N deposition and the evaluation of its effects on global carbon budgets are the focus of many researchers. NO2 columns retrieved by space-borne sensors provide us with a new way of exploring global N cycles and these have the ability to estimate N deposition. However, the time range limitation of NO2 columns makes the estimation of long timescale N deposition difficult. In this study we used ground-based NOx emission data to expand the density of NO2columns, and 40 years of N deposition (1970–2009) was inverted using the multivariate linear model with expanded NO2 columns. The dynamic of N deposition was examined in both global and biome scales. The results show that the average N deposition was 0.34 g N m–2 year–1 in the 2000s, which was an increase of 38.4% compared with the 1970s’. The total N deposition in different biomes is unbalanced. N deposition is only 38.0% of the global total in forest biomes; this is made up of 25.9%, 11.3, and 0.7% in tropical, temperate, and boreal forests, respectively. As N-limited biomes, there was little increase of N deposition in boreal forests. However, N deposition has increased by a total of 59.6% in tropical forests and croplands, which are N-rich biomes. Such characteristics may influence the effects on global carbon budgets.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2016.1225178","usgsCitation":"Lu, X., Zhang, X., Liu, J., and Jin, J., 2016, Estimating 40 years of nitrogen deposition in global biomes using the SCIAMACHY NO2 column: International Journal of Remote Sensing, v. 37, no. 20, p. 4964-4978, https://doi.org/10.1080/01431161.2016.1225178.","productDescription":"15 p.","startPage":"4964","endPage":"4978","ipdsId":"IP-076950","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":331434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"20","noUsgsAuthors":false,"publicationDate":"2016-09-21","publicationStatus":"PW","scienceBaseUri":"584144e0e4b04fc80e5073ac","contributors":{"authors":[{"text":"Lu, Xuehe","contributorId":73517,"corporation":false,"usgs":true,"family":"Lu","given":"Xuehe","affiliations":[],"preferred":false,"id":654763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Xiuying","contributorId":175218,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiuying","email":"","affiliations":[{"id":27538,"text":"International Institute for Earth System Science, Nanjing University, Xianlin Avenue 163, Nanjing 210093","active":true,"usgs":false}],"preferred":false,"id":654764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":654765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jin, Jiaxin","contributorId":13561,"corporation":false,"usgs":true,"family":"Jin","given":"Jiaxin","affiliations":[],"preferred":false,"id":654766,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176537,"text":"70176537 - 2016 - Age and growth of round gobies in Lake Huron: Implications for food web dynamics","interactions":[],"lastModifiedDate":"2016-12-29T09:11:33","indexId":"70176537","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Age and growth of round gobies in Lake Huron: Implications for food web dynamics","docAbstract":"Although the round goby (Neogobius melanostomus) has become established throughout the Laurentian Great Lakes, information is scarce on spatial variation in round goby growth between and within lakes. Based on a sample of 754 specimens captured in 2014, age, growth, and mortality of round gobies at four locations in Lake Huron were assessed via otolith analysis. Total length (TL) of round gobies ranged from 44 to 111 mm for Saginaw Bay, from 45 to 115 mm for Rockport, from 50 to 123 mm for Hammond Bay, and from 51 to 118 mm for Thunder Bay. Estimated ages of round gobies ranged from 2 to 5 years for Saginaw Bay, from 2 to 6 years for Rockport, and from 2 to 7 years for Hammond Bay and Thunder Bay. Sex-specific, body–otolith relationships were used to back-calculate total lengths at age, which were then fitted to von Bertalanffy growth models. For each sex, round goby growth showed significant spatial variation among the four locations within Lake Huron. At all four locations in Lake Huron, males grew significantly faster than females and attained a larger asymptotic length than females. Annual mortality rate estimates were high (62 to 85%), based on catch-curve analysis, suggesting that round gobies may be under predatory control in Lake Huron.
","language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2016.08.010","usgsCitation":"Duan, Y.J., Madenjian, C.P., Xie, C., Diana, J., O’Brien, T.P., Zhao, Y.M., He, J.X., Farha, S., and Huo, B., 2016, Age and growth of round gobies in Lake Huron: Implications for food web dynamics: Journal of Great Lakes Research, v. 42, no. 6, p. 1443-1451, https://doi.org/10.1016/j.jglr.2016.08.010.","productDescription":"9 p.","startPage":"1443","endPage":"1451","ipdsId":"IP-072233","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":462097,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2016.08.010","text":"Publisher Index Page"},{"id":328810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Lake Huron","geographicExtents":"{\n 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0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":649193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xie, Cong X.","contributorId":138597,"corporation":false,"usgs":false,"family":"Xie","given":"Cong X.","affiliations":[{"id":12457,"text":"Huazhong Agricultural University, College of Fisheries","active":true,"usgs":false}],"preferred":false,"id":649194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diana, James S.","contributorId":52137,"corporation":false,"usgs":true,"family":"Diana","given":"James S.","affiliations":[],"preferred":false,"id":649195,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":649196,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhao, Ying M.","contributorId":174753,"corporation":false,"usgs":false,"family":"Zhao","given":"Ying","email":"","middleInitial":"M.","affiliations":[{"id":13171,"text":"Ontario Ministry of Natural Resources, Aquatic Research and Development Section","active":true,"usgs":false}],"preferred":false,"id":649197,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"He, Ji X.","contributorId":53254,"corporation":false,"usgs":true,"family":"He","given":"Ji","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":649198,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Farha, Steven A. 0000-0001-9953-6996 sfarha@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-6996","contributorId":5170,"corporation":false,"usgs":true,"family":"Farha","given":"Steven","email":"sfarha@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":649199,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huo, Bin","contributorId":127463,"corporation":false,"usgs":false,"family":"Huo","given":"Bin","email":"","affiliations":[{"id":6955,"text":"College of Fisheries, Huazhong Agricultural University","active":true,"usgs":false}],"preferred":false,"id":649200,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70184319,"text":"70184319 - 2016 - Accommodation space in a high-wave-energy inner-shelf during the Holocene marine transgression: Correlation of onshore and offshore inner-shelf deposits (0–12 ka) in the Columbia River littoral cell system, Washington and Oregon, USA","interactions":[],"lastModifiedDate":"2017-03-07T16:08:31","indexId":"70184319","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Accommodation space in a high-wave-energy inner-shelf during the Holocene marine transgression: Correlation of onshore and offshore inner-shelf deposits (0–12 ka) in the Columbia River littoral cell system, Washington and Oregon, USA","docAbstract":"The Columbia River Littoral Cell (CRLC), a high-wave-energy littoral system, extends 160 km alongshore, generally north of the large Columbia River, and 10–15 km in across-shelf distance from paleo-beach backshores to about 50 m present water depths. Onshore drill holes (19 in number and 5–35 m in subsurface depth) and offshore vibracores (33 in number and 1–5 m in subsurface depth) constrain inner-shelf sand grain sizes (sample means 0.13–0.25 mm) and heavy mineral source indicators (> 90% Holocene Columbia River sand) of the inner-shelf facies (≥ 90% fine sand). Stratigraphic correlation of the transgressive ravinement surface in onshore drill holes and in offshore seismic reflection profiles provide age constraints (0–12 ka) on post-ravinement inner-shelf deposits, using paleo-sea level curves and radiocarbon dates. Post-ravinement deposit thickness (1–50 m) and long-term sedimentation rates (0.4–4.4 m ka− 1) are positively correlated to the cross-shelf gradients (0.36–0.63%) of the transgressive ravinement surface. The total post-ravinement fill volume of fine littoral sand (2.48 × 1010 m3) in the inner-shelf represents about 2.07 × 106 m3 year− 1 fine sand accumulation rate during the last 12 ka, or about one third of the estimated middle- to late-Holocene Columbia River bedload or sand discharge (5–6 × 106 m3 year− 1) to the littoral zone. The fine sand accumulation in the inner-shelf represents post-ravinement accommodation space resulting from 1) geometry and depth of the transgressive ravinement surface, 2) post-ravinement sea-level rise, and 3) fine sand dispersal in the inner-shelf by combined high-wave-energy and geostrophic flow/down-welling drift currents during major winter storms.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.05.007","usgsCitation":"Peterson, C.D., Twichell, D.C., Roberts, M.C., Vanderburgh, S., and Hostetler, S.W., 2016, Accommodation space in a high-wave-energy inner-shelf during the Holocene marine transgression: Correlation of onshore and offshore inner-shelf deposits (0–12 ka) in the Columbia River littoral cell system, Washington and Oregon, USA: Marine Geology, v. 379, p. 140-156, https://doi.org/10.1016/j.margeo.2016.05.007.","productDescription":"17 p.","startPage":"140","endPage":"156","ipdsId":"IP-075517","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":488567,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pdxscholar.library.pdx.edu/geology_fac/96","text":"External Repository"},{"id":336980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River","volume":"379","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f1e4b014cc3a3ba495","contributors":{"authors":[{"text":"Peterson, C. D.","contributorId":187596,"corporation":false,"usgs":false,"family":"Peterson","given":"C.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":680992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twichell, D. C.","contributorId":187597,"corporation":false,"usgs":false,"family":"Twichell","given":"D.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":680993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, M. C.","contributorId":187598,"corporation":false,"usgs":false,"family":"Roberts","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":680994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanderburgh, S.","contributorId":187599,"corporation":false,"usgs":false,"family":"Vanderburgh","given":"S.","email":"","affiliations":[],"preferred":false,"id":680995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":680991,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70184318,"text":"70184318 - 2016 - Shale gas development effects on the songbird community in a central Appalachian forest","interactions":[],"lastModifiedDate":"2017-03-07T16:10:38","indexId":"70184318","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Shale gas development effects on the songbird community in a central Appalachian forest","docAbstract":"In the last decade, unconventional drilling for natural gas from the Marcellus-Utica shale has increased exponentially in the central Appalachians. This heavily forested region contains important breeding habitat for many neotropical migratory songbirds, including several species of conservation concern. Our goal was to examine effects of unconventional gas development on forest habitat and breeding songbirds at a predominantly forested site from 2008 to 2015. Construction of gas well pads and infrastructure (e.g., roads, pipelines) contributed to an overall 4.5% loss in forest cover at the site, a 12.4% loss in core forest, and a 51.7% increase in forest edge density. We evaluated the relationship between land-cover metrics and species richness within three avian guilds: forest-interior, early-successional, and synanthropic, in addition to abundances of 21 focal species. Land-cover impacts were evaluated at two spatial extents: a point-level within 100-m and 500-m buffers of each avian survey station, and a landscape-level across the study area (4326 ha). Although we observed variability in species-specific responses, we found distinct trends in long-term response among the three avian guilds. Forest-interior guild richness declined at all points across the site and at points impacted within 100 m by shale gas but did not change at unimpacted points. Early-successional and synanthropic guild richness increased at all points and at impacted points. Our results suggest that shale gas development has the potential to fragment regional forests and alter avian communities, and that efforts to minimize new development in core forests will reduce negative impacts to forest dependent species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2016.06.019","usgsCitation":"Farwell, L.S., Wood, P., Sheehan, J., and George, G.A., 2016, Shale gas development effects on the songbird community in a central Appalachian forest: Biological Conservation, v. 201, p. 78-91, https://doi.org/10.1016/j.biocon.2016.06.019.","productDescription":"14 p.","startPage":"78","endPage":"91","ipdsId":"IP-074118","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470622,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2016.06.019","text":"Publisher Index Page"},{"id":336981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"201","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f2e4b014cc3a3ba499","contributors":{"authors":[{"text":"Farwell, Laura S.","contributorId":187625,"corporation":false,"usgs":false,"family":"Farwell","given":"Laura","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":681092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra pbwood@usgs.gov","contributorId":169812,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":680990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheehan, James","contributorId":169745,"corporation":false,"usgs":false,"family":"Sheehan","given":"James","email":"","affiliations":[],"preferred":false,"id":681093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"George, Gregory A.","contributorId":169751,"corporation":false,"usgs":false,"family":"George","given":"Gregory","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":681094,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70184317,"text":"70184317 - 2016 - Mapping changing distributions of dominant species in oil-contaminated salt marshes of Louisiana using imaging spectroscopy","interactions":[],"lastModifiedDate":"2017-03-07T16:15:12","indexId":"70184317","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Mapping changing distributions of dominant species in oil-contaminated salt marshes of Louisiana using imaging spectroscopy","docAbstract":"The April 2010 Deepwater Horizon (DWH) oil spill was the largest coastal spill in U.S. history. Monitoring subsequent change in marsh plant community distributions is critical to assess ecosystem impacts and to establish future coastal management priorities. Strategically deployed airborne imaging spectrometers, like the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS), offer the spectral and spatial resolution needed to differentiate plant species. However, obtaining satisfactory and consistent classification accuracies over time is a major challenge, particularly in dynamic intertidal landscapes.
Here, we develop and evaluate an image classification system for a time series of AVIRIS data for mapping dominant species in a heavily oiled salt marsh ecosystem. Using field-referenced image endmembers and canonical discriminant analysis (CDA), we classified 21 AVIRIS images acquired during the fall of 2010, 2011 and 2012. Classification results were evaluated using ground surveys that were conducted contemporaneously to AVIRIS collection dates. We analyzed changes in dominant species cover from 2010 to 2012 for oiled and non-oiled shorelines.
CDA discriminated dominant species with a high level of accuracy (overall accuracy = 82%, kappa = 0.78) and consistency over three imaging dates (overall2010 = 82%, overall2011 = 82%, overall2012 = 88%). Marshes dominated by Spartina alterniflora were the most spatially abundant in shoreline zones (≤ 28 m from shore) for all three dates (2010 = 79%, 2011 = 61%, 2012 = 63%), followed by Juncus roemerianus (2010 = 11%, 2011 = 19%, 2012 = 17%) and Distichlis spicata (2010 = 4%, 2011 = 10%, 2012 = 7%).
Marshes that were heavily contaminated with oil exhibited variable responses from 2010 to 2012. Marsh vegetation classes converted to a subtidal, open water class along oiled and non-oiled shorelines that were similarly situated in the landscape. However, marsh loss along oil-contaminated shorelines doubled that of non-oiled shorelines. Only S. alterniflora dominated marshes were extensively degraded, losing 15% (354,604 m2) cover in oiled shoreline zones, suggesting that S. alterniflora marshes may be more vulnerable to shoreline erosion following hydrocarbon stress, due to their landscape position.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.04.024","usgsCitation":"Beland, M., Roberts, D.A., Peterson, S.H., Biggs, T.W., Kokaly, R., Piazza, S., Roth, K.L., Khanna, S., and Ustin, S.L., 2016, Mapping changing distributions of dominant species in oil-contaminated salt marshes of Louisiana using imaging spectroscopy: Remote Sensing of Environment, v. 182, p. 192-207, https://doi.org/10.1016/j.rse.2016.04.024.","productDescription":"16 p.","startPage":"192","endPage":"207","ipdsId":"IP-069176","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":470617,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://escholarship.org/uc/item/81m5219m","text":"Publisher Index Page"},{"id":336983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","volume":"182","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f3e4b014cc3a3ba4a1","contributors":{"authors":[{"text":"Beland, Michael","contributorId":139569,"corporation":false,"usgs":false,"family":"Beland","given":"Michael","email":"","affiliations":[{"id":12805,"text":"Univ. of California at San Diego","active":true,"usgs":false}],"preferred":false,"id":680982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Dar A.","contributorId":100503,"corporation":false,"usgs":false,"family":"Roberts","given":"Dar","email":"","middleInitial":"A.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":680983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Seth H.","contributorId":139568,"corporation":false,"usgs":false,"family":"Peterson","given":"Seth","email":"","middleInitial":"H.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":680984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biggs, Trent W.","contributorId":187592,"corporation":false,"usgs":false,"family":"Biggs","given":"Trent","email":"","middleInitial":"W.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":680985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101 raymond@usgs.gov","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":1785,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","email":"raymond@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":680981,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piazza, Sarai 0000-0001-6962-9008 piazzas@usgs.gov","orcid":"https://orcid.org/0000-0001-6962-9008","contributorId":169024,"corporation":false,"usgs":true,"family":"Piazza","given":"Sarai","email":"piazzas@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":680986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roth, Keely L.","contributorId":187593,"corporation":false,"usgs":false,"family":"Roth","given":"Keely","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":680987,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Khanna, Shruti","contributorId":74287,"corporation":false,"usgs":true,"family":"Khanna","given":"Shruti","affiliations":[],"preferred":false,"id":680988,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ustin, Susan L.","contributorId":52878,"corporation":false,"usgs":false,"family":"Ustin","given":"Susan","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":680989,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70184316,"text":"70184316 - 2016 - A revision in hydrogen isotopic composition of USGS42 and USGS43 human-hair stable isotopic reference materials for forensic science","interactions":[],"lastModifiedDate":"2017-03-07T16:18:28","indexId":"70184316","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1686,"text":"Forensic Science International","active":true,"publicationSubtype":{"id":10}},"title":"A revision in hydrogen isotopic composition of USGS42 and USGS43 human-hair stable isotopic reference materials for forensic science","docAbstract":"The hydrogen isotopic composition (δ2HVSMOW-SLAP) of USGS42 and USGS43 human hair stable isotopic reference materials, normalized to the VSMOW (Vienna-Standard Mean Ocean Water)–SLAP (Standard Light Antarctic Precipitation) scale, was originally determined with a high temperature conversion technique using an elemental analyzer (TC/EA) with a glassy carbon tube and glassy carbon filling and analysis by isotope-ratio mass spectrometer (IRMS). However, the TC/EA IRMS method can produce inaccurate δ2HVSMOW-SLAPresults when analyzing nitrogen-bearing organic substances owing to the formation of hydrogen cyanide (HCN), leading to non-quantitative conversion of a sample into molecular hydrogen (H2) for IRMS analysis. A single-oven, chromium-filled, elemental analyzer (Cr-EA) coupled to an IRMS substantially improves the measurement quality and reliability of hydrogen isotopic analysis of hydrogen- and nitrogen-bearing organic material because hot chromium scavenges all reactive elements except hydrogen. USGS42 and USGS43 human hair isotopic reference materials have been analyzed with the Cr-EA IRMS method, and the δ2HVSMOW-SLAP values of their non-exchangeable hydrogen fractions have been revised:
![\"Math](\"http://www.fsijournal.org/cms/attachment/2085453690/2073866099/si2.gif\")
where mUr = 0.001 = ‰. On average, these revised δ2HVSMOW-SLAP values are 5.7 mUr more positive than those previously measured. It is critical that readers pay attention to the δ2HVSMOW-SLAP of isotopic reference materials in publications as they may need to adjust the δ2HVSMOW–SLAP measurement results of human hair in previous publications to ensure all results are on the same isotope-delta scale.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.forsciint.2016.05.029","usgsCitation":"Coplen, T.B., and Qi, H., 2016, A revision in hydrogen isotopic composition of USGS42 and USGS43 human-hair stable isotopic reference materials for forensic science: Forensic Science International, v. 266, p. 222-225, https://doi.org/10.1016/j.forsciint.2016.05.029.","productDescription":"4 p.","startPage":"222","endPage":"225","ipdsId":"IP-075581","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470604,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.forsciint.2016.05.029","text":"Publisher Index Page"},{"id":336985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"266","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f3e4b014cc3a3ba4a5","contributors":{"authors":[{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":680979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":680980,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70184311,"text":"70184311 - 2016 - Test of a foraging-bioenergetics model to evaluate growth dynamics of endangered pallid sturgeon (Scaphirhynchus albus)","interactions":[],"lastModifiedDate":"2017-03-07T13:20:04","indexId":"70184311","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Test of a foraging-bioenergetics model to evaluate growth dynamics of endangered pallid sturgeon (Scaphirhynchus albus)","docAbstract":"Factors affecting feeding and growth of early life stages of the federally endangered pallid sturgeon (Scaphirhynchus albus) are not fully understood, owing to their scarcity in the wild. In this study was we evaluated the performance of a combined foraging-bioenergetics model as a tool for assessing growth of age-0 pallid sturgeon in the Missouri River. In the laboratory, three size classes of sturgeon larvae (18–44 mm; 0.027–0.329 g) were grown for 7 to 14 days under differing temperature (14–24 °C) and prey density (0–9 Chironomidae larvae/d) regimes. After accounting for effects of water temperature and prey density on fish activity, we compared observed final weight, final length, and number of prey consumed to values generated from the foraging-bioenergetics model. When confronted with an independent dataset, the combined model provided reliable estimates (within 13% of observations) of fish growth and prey consumption, underscoring the usefulness of the modeling approach for evaluating growth dynamics of larval fish when empirical data are lacking.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2016.05.017","usgsCitation":"Deslauriers, D., Heironimus, L.B., and Chipps, S.R., 2016, Test of a foraging-bioenergetics model to evaluate growth dynamics of endangered pallid sturgeon (Scaphirhynchus albus): Ecological Modelling, v. 336, p. 1-12, https://doi.org/10.1016/j.ecolmodel.2016.05.017.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-077141","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":336944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"336","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f3e4b014cc3a3ba4aa","contributors":{"authors":[{"text":"Deslauriers, David","contributorId":187586,"corporation":false,"usgs":false,"family":"Deslauriers","given":"David","email":"","affiliations":[],"preferred":false,"id":680969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heironimus, Laura B.","contributorId":187587,"corporation":false,"usgs":false,"family":"Heironimus","given":"Laura","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":680970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":680946,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176347,"text":"70176347 - 2016 - Resource management and operations in southwest South Dakota: Climate change scenario planning workshop summary January 20-21, 2016, Rapid City, SD","interactions":[],"lastModifiedDate":"2016-09-09T16:05:13","indexId":"70176347","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/NRR—2016/1289","title":"Resource management and operations in southwest South Dakota: Climate change scenario planning workshop summary January 20-21, 2016, Rapid City, SD","docAbstract":"The Scaling Climate Change Adaptation in the Northern Great Plains through Regional Climate Summaries and Local Qualitative-Quantitative Scenario Planning Workshops project synthesizes climate data into 3-5 distinct but plausible climate summaries for the northern Great Plains region; crafts quantitative summaries of these climate futures for two focal areas; and applies these local summaries by developing climate-resource-management scenarios through participatory workshops and, where possible, simulation models. The two focal areas are central North Dakota and southwest South Dakota (Figure 1). The primary objective of this project is to help resource managers and scientists in a focal area use scenario planning to make management and planning decisions based on assessments of critical future uncertainties.
This report summarizes project work for public and tribal lands in the southwest South Dakota grasslands focal area, with an emphasis on Badlands National Park and Buffalo Gap National Grassland. The report explains scenario planning as an adaptation tool in general, then describes how it was applied to the focal area in three phases. Priority resource management and climate uncertainties were identified in the orientation phase. Local climate summaries for relevant, divergent, and challenging climate scenarios were developed in the second phase. In the final phase, a two-day scenario planning workshop held January 20-21, 2016 in Rapid City, South Dakota, featured scenario development and implications, testing management decisions, and methods for operationalizing scenario planning outcomes.
","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, Colorado","usgsCitation":"Fisichelli, N.A., Schuurman, G.W., Symstad, A.J., Ray, A., Miller, B., Cross, M., and Rowland, E., 2016, Resource management and operations in southwest South Dakota: Climate change scenario planning workshop summary January 20-21, 2016, Rapid City, SD: Natural Resource Report NPS/NRSS/NRR—2016/1289, ix, 61 p.","productDescription":"ix, 61 p.","numberOfPages":"76","ipdsId":"IP-075140","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328423,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2233058"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3dd3ce4b0571647d19ac3","contributors":{"authors":[{"text":"Fisichelli, Nicholas A.","contributorId":174508,"corporation":false,"usgs":false,"family":"Fisichelli","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":27461,"text":"NPS, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":648451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":648452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Symstad, Amy J. 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":147543,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ray, Andrea","contributorId":71869,"corporation":false,"usgs":true,"family":"Ray","given":"Andrea","affiliations":[],"preferred":false,"id":648453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Brian","contributorId":100753,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","affiliations":[],"preferred":false,"id":648454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cross, Molly","contributorId":73455,"corporation":false,"usgs":true,"family":"Cross","given":"Molly","affiliations":[],"preferred":false,"id":648455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rowland, Erika","contributorId":146177,"corporation":false,"usgs":false,"family":"Rowland","given":"Erika","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":648456,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70175152,"text":"ofr20161126 - 2016 - Evaluating integration of inland bathymetry in the U.S. Geological Survey 3D Elevation Program, 2014","interactions":[],"lastModifiedDate":"2016-09-01T15:31:00","indexId":"ofr20161126","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","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":"2016-1126","title":"Evaluating integration of inland bathymetry in the U.S. Geological Survey 3D Elevation Program, 2014","docAbstract":"Inland bathymetry survey collections, survey data types, features, sources, availability, and the effort required to integrate inland bathymetric data into the U.S. Geological Survey 3D Elevation Program are assessed to help determine the feasibility of integrating three-dimensional water feature elevation data into The National Map. Available data from wading, acoustic, light detection and ranging, and combined technique surveys are provided by the U.S. Geological Survey, National Oceanic and Atmospheric Administration, U.S. Army Corps of Engineers, and other sources. Inland bathymetric data accessed through Web-hosted resources or contacts provide useful baseline parameters for evaluating survey types and techniques used for collection and processing, and serve as a basis for comparing survey methods and the quality of results. Historically, boat-mounted acoustic surveys have provided most inland bathymetry data. Light detection and ranging techniques that are beneficial in areas hard to reach by boat, that can collect dense data in shallow water to provide comprehensive coverage, and that can be cost effective for surveying large areas with good water clarity are becoming more common; however, optimal conditions and techniques for collecting and processing light detection and ranging inland bathymetry surveys are not yet well defined.
Assessment of site condition parameters important for understanding inland bathymetry survey issues and results, and an evaluation of existing inland bathymetry survey coverage are proposed as steps to develop criteria for implementing a useful and successful inland bathymetry survey plan in the 3D Elevation Program. These survey parameters would also serve as input for an inland bathymetry survey data baseline. Integration and interpolation techniques are important factors to consider in developing a robust plan; however, available survey data are usually in a triangulated irregular network format or other format compatible with the 3D Elevation Program so that data can be integrated with a minimal level of effort. Geomorphic site conditions are known to affect the success and accuracy of light detection and ranging and other bathymetric surveys, and a baseline that includes geomorphic data is recommended to help in evaluation of limitations imposed by geomorphology for surveys completed in the variable physiographic provinces across the United States. The geographic distribution for existing surveys identifies regions where inland bathymetry data have been collected and, conversely, where little or no survey data seem to be available to provide hydrologic and hydraulic information. This distribution, in conjunction with local to regional data needs to characterize and monitor river and lake resources, provides another important set of criteria to propose and guide acquisition of new bathymetry data for the 3D Elevation Program. An initial evaluation of needs can be based on the importance of water resources that provide primary water supplies for communities, agriculture, energy, and ecological systems; the importance of flood plain analyses; and projected population growth across the United States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161126","usgsCitation":"Miller-Corbett, Cynthia, 2016, Evaluating integration of inland bathymetry in the U.S. Geological Survey 3D Elevation Program, 2014: U.S. Geological Survey Open-File Report 2016–1126, 44 p., https://dx.doi.org/10.3133/ofr20161126.\n","productDescription":"vi, 44 p.","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-065698","costCenters":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"links":[{"id":328148,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1126/coverthb.jpg"},{"id":328149,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1126/ofr20161126.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1126"}],"contact":"Director, National Geospatial Technical Operations Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
Regions of complex topography and remote wilderness terrain have spatially varying patterns of temperature and streamflow, but due to inherent difficulties of access, are often very poorly sampled. Here we present a data set of distributed stream stage, streamflow, stream temperature, barometric pressure, and air temperature from the Tuolumne River Watershed in Yosemite National Park, Sierra Nevada, California, USA, for water years 2002–2015, as well as a quality-controlled hourly meteorological forcing time series for use in hydrologic modeling. We also provide snow data and daily inflow to the Hetch Hetchy Reservoir for 1970–2015. This paper describes data collected using low-visibility and low-impact installations for wilderness locations and can be used alone or as a critical supplement to ancillary data sets collected by cooperating agencies, referenced herein. This data set provides a unique opportunity to understand spatial patterns and scaling of hydroclimatic processes in complex terrain and can be used to evaluate downscaling techniques or distributed modeling. The paper also provides an example methodology and lessons learned in conducting hydroclimatic monitoring in remote wilderness.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016WR019261","usgsCitation":"Lundquist, J., Roche, J.W., Forrester, H., Moore, C., Keenan, E., Perry, G., Cristea, N., Henn, B., Lapo, K., McGurk, B., Cayan, D.R., and Dettinger, M., 2016, Yosemite Hydroclimate Network: Distributed stream and atmospheric data for the Tuolumne River watershed and surroundings: Water Resources Research, v. 52, no. 9, p. 7478-7489, https://doi.org/10.1002/2016WR019261.","productDescription":"12 p.","startPage":"7478","endPage":"7489","ipdsId":"IP-077662","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":334061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Tuolumne River Watershed, Yosemite National Park","volume":"52","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-22","publicationStatus":"PW","scienceBaseUri":"588b1977e4b0ad67323f97e6","contributors":{"authors":[{"text":"Lundquist, Jessica D.","contributorId":12792,"corporation":false,"usgs":true,"family":"Lundquist","given":"Jessica D.","affiliations":[],"preferred":false,"id":660936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roche, James W.","contributorId":178800,"corporation":false,"usgs":false,"family":"Roche","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":660937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forrester, Harrison","contributorId":178773,"corporation":false,"usgs":false,"family":"Forrester","given":"Harrison","email":"","affiliations":[],"preferred":false,"id":660938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Courtney","contributorId":178775,"corporation":false,"usgs":false,"family":"Moore","given":"Courtney","email":"","affiliations":[],"preferred":false,"id":660940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keenan, Eric","contributorId":178776,"corporation":false,"usgs":false,"family":"Keenan","given":"Eric","email":"","affiliations":[],"preferred":false,"id":660941,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perry, Gwyneth","contributorId":178777,"corporation":false,"usgs":false,"family":"Perry","given":"Gwyneth","email":"","affiliations":[],"preferred":false,"id":660942,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cristea, Nicoleta","contributorId":178778,"corporation":false,"usgs":false,"family":"Cristea","given":"Nicoleta","email":"","affiliations":[],"preferred":false,"id":660943,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Henn, Brian","contributorId":139777,"corporation":false,"usgs":false,"family":"Henn","given":"Brian","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":660944,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lapo, Karl","contributorId":178779,"corporation":false,"usgs":false,"family":"Lapo","given":"Karl","email":"","affiliations":[],"preferred":false,"id":660945,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McGurk, Bruce","contributorId":178780,"corporation":false,"usgs":false,"family":"McGurk","given":"Bruce","email":"","affiliations":[],"preferred":false,"id":660946,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":660934,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":146383,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","email":"mddettin@usgs.gov","affiliations":[],"preferred":false,"id":660935,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70174861,"text":"70174861 - 2016 - Three-dimensional numerical modeling of mixing at the junction of the Calumet-Sag Channel and the Chicago Sanitary and Ship Canal: A comparison between density-driven and advection-driven mixing","interactions":[],"lastModifiedDate":"2016-09-08T10:14:22","indexId":"70174861","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Three-dimensional numerical modeling of mixing at the junction of the Calumet-Sag Channel and the Chicago Sanitary and Ship Canal: A comparison between density-driven and advection-driven mixing","docAbstract":"The Chicago Area Waterway System (CAWS) includes the Chicago Sanitary and Ship Canal (CSSC) and the Calumet-Sag Channel (Cal-Sag), the two primary, man-made connections between the Mississippi River Basin and the Great Lakes. The U.S. Geological Survey (USGS) monitors diversion of Great Lakes water at a streamgage just downstream of the confluence of the CSSC and Cal-Sag (known as Sag Junction). Previous studies have explored the complex hydrodynamics in the CAWS near Sag Junction and at the USGS streamgage near Lemont, Illinois. The current study explores the mixing at Sag Junction which can be purely advection-driven or driven by density differences between the two branches. The current study simulates and analyzes two cases: 1) the density of water in CSSC is greater than in the Cal-Sag, 2) the density of the CSSC water is less than in the Cal-Sag. The density difference between the branches was found to play a major role in influencing the mixing process compared with purely advection-driven mixing. Density differences created near-bed gravity currents, some of which\r\nintruded upstream into the CSSC or Cal-Sag creating bi-directional flows. The phenomenon of double plunging was observed, along with formation of a recirculation zone between the two plunging fronts. Local mixing at the confluence was enhanced by density differences between the two channels, but mixing downstream from the confluence was impeded due to formation of a stabilizing stratification.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the International Conference on Fluvial Hydraulics (River Flows 2016)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Conference on Fluvial Hydraulics (River Flows 2016)","conferenceDate":"July 11-14, 2016","conferenceLocation":"Iowa City, IA","language":"English","publisher":"CRC Press","isbn":"9781138029132","usgsCitation":"Wang, D., Dudda, S., Jackson, P., and Garcia, M., 2016, Three-dimensional numerical modeling of mixing at the junction of the Calumet-Sag Channel and the Chicago Sanitary and Ship Canal: A comparison between density-driven and advection-driven mixing, in Proceedings of the International Conference on Fluvial Hydraulics (River Flows 2016), Iowa City, IA, July 11-14, 2016, p. 1587-1595.","productDescription":"9 p.","startPage":"1587","endPage":"1595","ipdsId":"IP-072509","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":328351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325420,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/River-Flow-2016-Iowa-City-USA-July-11-14-2016/Constantinescu-Garcia-Hanes/p/book/9781138029132"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28bafe4b0571647d0f94e","contributors":{"editors":[{"text":"Constantinescu, George","contributorId":174167,"corporation":false,"usgs":false,"family":"Constantinescu","given":"George","email":"","affiliations":[{"id":7241,"text":"IIHR-Hydroscience and Engineering, Department of Civil and Environmental Engineering, The University of Iowa","active":true,"usgs":false}],"preferred":false,"id":648318,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":648319,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hanes, Dan","contributorId":174168,"corporation":false,"usgs":false,"family":"Hanes","given":"Dan","email":"","affiliations":[{"id":12995,"text":"Department of Earth and Atmospheric Sciences, Saint Louis University","active":true,"usgs":false}],"preferred":false,"id":648320,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Wang, Dongchen","contributorId":172975,"corporation":false,"usgs":false,"family":"Wang","given":"Dongchen","email":"","affiliations":[{"id":27130,"text":"UIUC","active":true,"usgs":false}],"preferred":false,"id":642861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudda, Som","contributorId":172976,"corporation":false,"usgs":false,"family":"Dudda","given":"Som","email":"","affiliations":[{"id":27130,"text":"UIUC","active":true,"usgs":false}],"preferred":false,"id":642862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, P. Ryan pjackson@usgs.gov","contributorId":169284,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","email":"pjackson@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":642860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":642863,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}