Petrologic monitoring of Kīlauea Volcano from January 1983 to October 2013 has yielded an extensive record of glass, phenocryst, melt inclusion, and bulk-lava chemistry from well-quenched lava. When correlated with 30+ years of geophysical and geologic monitoring, petrologic details testify to physical maturation of summit-to-rift magma plumbing associated with sporadic intrusion and prolonged magmatic overpressurization. Changes through time in bulk-lava major- and trace-element compositions, along with glass thermometry, record shifts in the dynamic balance of fractionation, mixing, and assimilation processes inherent to magma storage and transport during near-continuous recharge and eruption. Phenocryst composition, morphology, and texture, along with the sulfur content of melt inclusions, constrain coupled changes in eruption behavior and geochemistry to processes occurring in the shallow magmatic system.
For the first 17 years of eruption, magma was steadily tapped from a summit reservoir at 1–4 km depth and circulating between 1180 and 1200°C. Furthermore, magma cooled another 30°C while flowing through the 18 km long rift conduit, before erupting olivine-spinel-phyric lava at temperatures of 1150–1170°C in a pattern linked with edifice deformation, vent formation, eruptive vigor, and presumably the flux of magma into and out of the summit reservoir. During 2000–2001, a fundamental change in steady state eruption petrology to that of relatively low-temperature, low-MgO, olivine(-spinel)-clinopyroxene-plagioclase-phryic lava points to a physical transformation of the shallow volcano plumbing uprift of the vent. Preeruptive comagmatic mixing between hotter and cooler magma is documented by resorption, overgrowth, and compositional zonation in a mixed population of phenocrysts grown at higher and lower temperatures. Large variations of sulfur (50 to >1000 ppm) in melt inclusions within individual phenocrysts and among phenocrysts in most samples provide an unequivocal glimpse of rapid crystal growth amid sulfur degassing at <30 MPa in a turbulent preeruptive environment. We speculate that, during the last decade, one or more shallow open-system reservoirs developed along the conduit between the summit and Pu‘u ‘Ō‘ō and now serve to buffer the magmatic throughput associated with ongoing recharge and eruption.
Lava with identical trace-element signatures erupted simultaneously at the summit and at Pu‘u ‘Ō‘ō from 2008 to 2013 confirms magmatic continuity between the vents. Complementary changes in compositions of matrix glasses, phenocrysts, and melt inclusions of summit tephra are mirrored by similar changes in contemporaneous rift lava at eruption temperatures 20–35°C lower than those at the summit. Petrologic parameters measured at opposite ends of the shallow magmatic plumbing system are both correlated with summit deformation, demonstrating that effects of summit magma chamber pressurization are translated throughout interconnected magma pathways in the shallow edifice.
The erosion and deposition of sediments by wind from 1901 to 2013 have created large changes in surface features of Mesquite Lake playa in the Mojave Desert. The decadal scale recurrence of sand-sheet development, migration, and merging with older dunes appears related to decadal climatic changes of drought and wetness as recorded in the precipitation history of the Mojave Desert, complemented by modeled soil-moisture index values. Historical aerial photographs, repeat land photographs, and satellite images document the presence and northward migration of a mid-20th century sand sheet that formed during a severe regional drought that coincided with a multi-decadal cool phase of the Pacific Decadal Oscillation (PDO). The sand sheet slowly eroded during the wetter conditions of the subsequent PDO warm phase (1977–1998) due to a lack of added sediment. Sand cohesion gradually increased in the sand sheet by seasonal additions of salt and clay and by re-precipitation of gypsum, which resulted in the wind-carving of yardangs in the receding sand sheet. Smaller yardangs were aerodynamically shaped from coppice dunes with salt-clay crusts, and larger yardangs were carved along the walls and floor of trough blowouts. Evidence of a 19th century cycle of sand-sheet formation and erosion is indicated by remnants of yardangs, photographed in 1901 and 1916, that were found buried in the mid-20th century sand sheet. Three years of erosion measurements on the playa, yardangs, and sand sheets document relatively rapid wind erosion. The playa has lowered 20 to 40 cm since the mid-20th century and a shallow deflation basin has developed since 1999. Annually, 5–10 cm of surface sediment was removed from yardang flanks by a combination of wind abrasion, deflation, and mass movement. The most effective erosional processes are wind stripping of thin crusts that form on the yardang surfaces after rain events and the slumping of sediment blocks from yardang flanks. These wind-eroded landforms persist several decades to a century before eroding away or being buried by younger sands. On Mesquite Lake playa the climatic history of alternating PDO phases of multi-decadal drought and wetness is recorded twice by the presence of yardangs formed nearly a century apart.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2014.10.024","usgsCitation":"Whitney, J.W., Breit, G.N., Buckingham, S., Reynolds, R.L., Bogle, R., Luo, L., Goldstein, H.L., and Vogel, J.M., 2015, Aeolian responses to climate variability during the past century on Mesquite Lake Playa, Mojave Desert: Geomorphology, v. 230, p. 13-25, https://doi.org/10.1016/j.geomorph.2014.10.024.","productDescription":"13 p.","startPage":"13","endPage":"25","ipdsId":"IP-028706","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":348620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mesquite Lake, Mojave Desert","volume":"230","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a096bb1e4b09af898c9414b","contributors":{"authors":[{"text":"Whitney, John W. 0000-0003-3824-3692 jwhitney@usgs.gov","orcid":"https://orcid.org/0000-0003-3824-3692","contributorId":804,"corporation":false,"usgs":true,"family":"Whitney","given":"John","email":"jwhitney@usgs.gov","middleInitial":"W.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":721690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":721691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckingham, S.E.","contributorId":9454,"corporation":false,"usgs":true,"family":"Buckingham","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":721692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":147880,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":true,"id":721693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bogle, Rian C. 0000-0002-0389-4367 rbogle@usgs.gov","orcid":"https://orcid.org/0000-0002-0389-4367","contributorId":179318,"corporation":false,"usgs":true,"family":"Bogle","given":"Rian C.","email":"rbogle@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":721694,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luo, Lifeng","contributorId":176993,"corporation":false,"usgs":false,"family":"Luo","given":"Lifeng","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":721695,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":147881,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":721696,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vogel, John M. 0000-0002-8226-1188 jvogel@usgs.gov","orcid":"https://orcid.org/0000-0002-8226-1188","contributorId":3167,"corporation":false,"usgs":true,"family":"Vogel","given":"John","email":"jvogel@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":721697,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70178488,"text":"70178488 - 2015 - Suspended-sediment trapping in the tidal reach of an estuarine tributary channel","interactions":[],"lastModifiedDate":"2016-11-22T12:32:18","indexId":"70178488","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Suspended-sediment trapping in the tidal reach of an estuarine tributary channel","docAbstract":"Evidence of decreasing sediment supply to estuaries and coastal oceans worldwide illustrates the need for accurate and updated estimates. In the San Francisco Estuary (Estuary), recent research suggests a decrease in supply from its largest tributaries, implying the increasing role of smaller, local tributaries in sediment supply to this estuary. Common techniques for estimating supply from tributaries are based on gages located above head of tide, which do not account for trapping processes within the tidal reach. We investigated the effect of a tidal reach on suspended-sediment discharge for Corte Madera Creek, a small tributary of the Estuary. Discharge of water (Q) and suspended-sediment (SSD) were observed for 3 years at two locations along the creek: upstream of tidal influence and at the mouth. Comparison of upstream and mouth gages showed nearly 50 % trapping of upstream SSD input within the tidal reach over this period. At the storm time scale, suspended-sediment trapping efficiency varied greatly (range −31 to 93 %); storms were classified as low- or high-yield based on upstream SSD. As upstream peak Q increased, high-yield storms exhibited significantly decreased trapping. Tidal conditions at the mouth—ebb duration and peak ebb velocity—during storms had a minor effect on sediment trapping, suggesting fluvial processes dominate. Comparison of characteristic fluvial and tidal discharges at the storm time scale demonstrated longitudinal differences in the regulating process for SSD. These results suggest that SSD from gages situated above head of tide overestimate sediment supply to the open waters beyond tributary mouths and thus trapping processes within the tidal reach should be considered.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-015-9944-4","usgsCitation":"Downing-Kunz, M.A., and Schoellhamer, D., 2015, Suspended-sediment trapping in the tidal reach of an estuarine tributary channel: Estuaries and Coasts, v. 38, no. 6, p. 2198-2212, https://doi.org/10.1007/s12237-015-9944-4.","productDescription":"15 p.","startPage":"2198","endPage":"2212","ipdsId":"IP-044920","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":331189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Corte Madera Creek, San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.59128570556642,\n 37.928221646989755\n ],\n [\n -122.59128570556642,\n 38\n ],\n [\n -122.49446868896483,\n 38\n ],\n [\n -122.49446868896483,\n 37.928221646989755\n ],\n [\n -122.59128570556642,\n 37.928221646989755\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-05","publicationStatus":"PW","scienceBaseUri":"5835672ce4b0070c0abfb6dc","contributors":{"authors":[{"text":"Downing-Kunz, Maureen A. 0000-0002-4879-0318 mdowning-kunz@usgs.gov","orcid":"https://orcid.org/0000-0002-4879-0318","contributorId":3690,"corporation":false,"usgs":true,"family":"Downing-Kunz","given":"Maureen","email":"mdowning-kunz@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654188,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193748,"text":"70193748 - 2015 - Development of a new semi-analytical model for cross-borehole flow experiments in fractured media","interactions":[],"lastModifiedDate":"2018-08-09T12:48:52","indexId":"70193748","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Development of a new semi-analytical model for cross-borehole flow experiments in fractured media","docAbstract":"Analysis of borehole flow logs is a valuable technique for identifying the presence of fractures in the subsurface and estimating properties such as fracture connectivity, transmissivity and storativity. However, such estimation requires the development of analytical and/or numerical modeling tools that are well adapted to the complexity of the problem. In this paper, we present a new semi-analytical formulation for cross-borehole flow in fractured media that links transient vertical-flow velocities measured in one or a series of observation wells during hydraulic forcing to the transmissivity and storativity of the fractures intersected by these wells. In comparison with existing models, our approach presents major improvements in terms of computational expense and potential adaptation to a variety of fracture and experimental configurations. After derivation of the formulation, we demonstrate its application in the context of sensitivity analysis for a relatively simple two-fracture synthetic problem, as well as for field-data analysis to investigate fracture connectivity and estimate fracture hydraulic properties. These applications provide important insights regarding (i) the strong sensitivity of fracture property estimates to the overall connectivity of the system; and (ii) the non-uniqueness of the corresponding inverse problem for realistic fracture configurations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2014.12.002","usgsCitation":"Roubinet, D., Irving, J., and Day-Lewis, F.D., 2015, Development of a new semi-analytical model for cross-borehole flow experiments in fractured media: Advances in Water Resources, v. 76, p. 97-108, https://doi.org/10.1016/j.advwatres.2014.12.002.","productDescription":"12 p.","startPage":"97","endPage":"108","ipdsId":"IP-061584","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472304,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://serval.unil.ch/notice/serval:BIB_547C366CAA45","text":"External Repository"},{"id":349128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60febde4b06e28e9c25341","contributors":{"authors":[{"text":"Roubinet, Delphine","contributorId":199840,"corporation":false,"usgs":false,"family":"Roubinet","given":"Delphine","email":"","affiliations":[],"preferred":false,"id":720181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irving, James","contributorId":199841,"corporation":false,"usgs":false,"family":"Irving","given":"James","email":"","affiliations":[],"preferred":false,"id":720182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":720180,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70150459,"text":"70150459 - 2015 - Reducing nitrogen export from the corn belt to the Gulf of Mexico: agricultural strategies for remediating hypoxia","interactions":[],"lastModifiedDate":"2018-02-06T12:16:11","indexId":"70150459","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Reducing nitrogen export from the corn belt to the Gulf of Mexico: agricultural strategies for remediating hypoxia","docAbstract":"SPAtially Referenced Regression on Watershed models developed for the Upper Midwest were used to help evaluate the nitrogen-load reductions likely to be achieved by a variety of agricultural conservation practices in the Upper Mississippi-Ohio River Basin (UMORB) and to compare these reductions to the 45% nitrogen-load reduction proposed to remediate hypoxia in the Gulf of Mexico (GoM). Our results indicate that nitrogen-management practices (improved fertilizer management and cover crops) fall short of achieving this goal, even if adopted on all cropland in the region. The goal of a 45% decrease in loads to the GoM can only be achieved through the coupling of nitrogen-management practices with innovative nitrogen-removal practices such as tile-drainage treatment wetlands, drainage–ditch enhancements, stream-channel restoration, and floodplain reconnection. Combining nitrogen-management practices with nitrogen-removal practices can dramatically reduce nutrient export from agricultural landscapes while minimizing impacts to agricultural production. With this approach, it may be possible to meet the 45% nutrient reduction goal while converting less than 1% of cropland in the UMORB to nitrogen-removal practices. Conservationists, policy makers, and agricultural producers seeking a workable strategy to reduce nitrogen export from the Corn Belt will need to consider a combination of nitrogen-management practices at the field scale and diverse nitrogen-removal practices at the landscape scale.
","language":"English","publisher":"Wiley","doi":"10.1111/jawr.12246","usgsCitation":"McLellan, E., Robertson, D.M., Schilling, K., Tomer, M., Kostel, J., Smith, D.G., and King, K., 2015, Reducing nitrogen export from the corn belt to the Gulf of Mexico: agricultural strategies for remediating hypoxia: Journal of the American Water Resources Association, v. 51, no. 1, p. 263-289, https://doi.org/10.1111/jawr.12246.","productDescription":"27 p.","startPage":"263","endPage":"289","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050927","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":306623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Ohio River Basin, Upper Mississippi River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": 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dgsmith@usgs.gov","contributorId":1532,"corporation":false,"usgs":true,"family":"Smith","given":"Douglas","email":"dgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":556916,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"King, Kevin","contributorId":143721,"corporation":false,"usgs":false,"family":"King","given":"Kevin","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":556917,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70136575,"text":"70136575 - 2015 - Variations in community exposure to lahar hazards from multiple volcanoes in Washington State (USA)","interactions":[],"lastModifiedDate":"2021-02-11T17:46:39.981725","indexId":"70136575","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3841,"text":"Journal of Applied Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Variations in community exposure to lahar hazards from multiple volcanoes in Washington State (USA)","docAbstract":"Understanding how communities are vulnerable to lahar hazards provides critical input for effective design and implementation of volcano hazard preparedness and mitigation strategies. Past vulnerability assessments have focused largely on hazards posed by a single volcano, even though communities and officials in many parts of the world must plan for and contend with hazards associated with multiple volcanoes. To better understand community vulnerability in regions with multiple volcanic threats, we characterize and compare variations in community exposure to lahar hazards associated with five active volcanoes in Washington State, USA—Mount Baker, Glacier Peak, Mount Rainier, Mount Adams and Mount St. Helens—each having the potential to generate catastrophic lahars that could strike communities tens of kilometers downstream. We use geospatial datasets that represent various population indicators (e.g., land cover, residents, employees, tourists) along with mapped lahar-hazard boundaries at each volcano to determine the distributions of populations within communities that occupy lahar-prone areas. We estimate that Washington lahar-hazard zones collectively contain 191,555 residents, 108,719 employees, 433 public venues that attract visitors, and 354 dependent-care facilities that house individuals that will need assistance to evacuate. We find that population exposure varies considerably across the State both in type (e.g., residential, tourist, employee) and distribution of people (e.g., urban to rural). We develop composite lahar-exposure indices to identify communities most at-risk and communities throughout the State who share common issues of vulnerability to lahar-hazards. We find that although lahars are a regional hazard that will impact communities in different ways there are commonalities in community exposure across multiple volcanoes. Results will aid emergency managers, local officials, and the public in educating at-risk populations and developing preparedness, mitigation, and recovery plans within and across communities.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s13617-015-0024-z","usgsCitation":"Diefenbach, A.K., Wood, N.J., and Ewert, J.W., 2015, Variations in community exposure to lahar hazards from multiple volcanoes in Washington State (USA): Journal of Applied Volcanology, v. 4, 4, 14 p., https://doi.org/10.1186/s13617-015-0024-z.","productDescription":"4, 14 p.","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060701","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472312,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13617-015-0024-z","text":"Publisher Index Page"},{"id":297750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Glacier Peak, Mount Adams, Mount Baker, Mount Rainier, Mount St. Helens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.73876953125,\n 45.598665689820656\n ],\n [\n -124.73876953125,\n 48.99463598353408\n ],\n [\n -117.0703125,\n 48.99463598353408\n ],\n [\n -117.0703125,\n 45.598665689820656\n ],\n [\n -124.73876953125,\n 45.598665689820656\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2015-02-01","publicationStatus":"PW","scienceBaseUri":"54dd2ac9e4b08de9379b3205","contributors":{"authors":[{"text":"Diefenbach, Angela K. 0000-0003-0214-7818 adiefenbach@usgs.gov","orcid":"https://orcid.org/0000-0003-0214-7818","contributorId":1084,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Angela","email":"adiefenbach@usgs.gov","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":537544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":537545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ewert, John W. 0000-0003-2819-4057 jwewert@usgs.gov","orcid":"https://orcid.org/0000-0003-2819-4057","contributorId":642,"corporation":false,"usgs":true,"family":"Ewert","given":"John","email":"jwewert@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":537546,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70133863,"text":"70133863 - 2015 - Mineral Resource of the Month: Antimony","interactions":[],"lastModifiedDate":"2016-07-08T12:39:01","indexId":"70133863","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1422,"text":"Earth Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Mineral Resource of the Month: Antimony","docAbstract":"Antimony is a lustrous silvery-white semimetal or metalloid. Archaeological and historical studies indicate that antimony and its mineral sulfides have been used by humans for at least six millennia. The alchemist Basil Valentine is sometimes credited with “discovering” the element; he described the extraction of metallic antimony from stibnite in his treatise “The Triumphal Chariot of Antimony,” published sometime between 1350 and 1600. In the early 18th century, Jöns Jakob Berzelius chose the periodic symbol for antimony (Sb) based on stibium, which is the Latin name for stibnite.
","language":"English","publisher":"AGI","usgsCitation":"Guberman, D.E., 2015, Mineral Resource of the Month: Antimony: Earth Magazine, v. February 2015, HTML Document.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061208","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":324925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324924,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/article/mineral-resource-month-antimony"}],"volume":"February 2015","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780cebae4b0811616822377","contributors":{"authors":[{"text":"Guberman, David E. dguberman@usgs.gov","contributorId":2660,"corporation":false,"usgs":true,"family":"Guberman","given":"David","email":"dguberman@usgs.gov","middleInitial":"E.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":525490,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70173435,"text":"70173435 - 2015 - Aquatic invertebrate food base for waterbirds at Wetland Reserve Program easements in the lower Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2016-06-20T15:28:32","indexId":"70173435","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic invertebrate food base for waterbirds at Wetland Reserve Program easements in the lower Mississippi Alluvial Valley","docAbstract":"Migratory waterbirds depend on invertebrates as a key source of dietary protein, but few studies have quantified aquatic invertebrates or their response to management on privately owned wetlands. Our objectives were to quantify the effects of wetland management provided through the Migratory Bird Habitat Initiative (MBHI) on invertebrate biomass, family richness, and secondary production at Wetland Reserve Program (WRP) easements in Arkansas and Missouri. We collected core and sweep-net samples bi-weekly in autumn 2011 and sweep samples in winter 2012 at WRP easements enrolled in MBHI (n = 13), WRP easements not enrolled in MBHI (n = 12), and intensively managed public wetlands (n = 7) in Arkansas and Missouri. Overall mean (±SE) invertebrate biomass and production during autumn were 11.96 (±1.29) kg/ha and 1.57 (±1.09) kg/ha*season, and during winter were 3.96 (±0.55) kg/ha and 1.38 (±0.11), respectively. Macroinvertebrate biomass and family richness did not differ among wetland types or management practices, including inundation and mowing. Secondary macroinvertebrate production during autumn was 200 % greater on MBHI contracts compared to WRP easements. During winter, production was 40 % greater on MBHI and WRP easements compared to public wetlands. Our results suggest that with management, wetlands enrolled in conservation easement programs can be an important source of invertebrate production for migratory waterbirds.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-014-0613-3","usgsCitation":"Tapp, J.L., and Webb, E.B., 2015, Aquatic invertebrate food base for waterbirds at Wetland Reserve Program easements in the lower Mississippi Alluvial Valley: Wetlands, v. 35, no. 1, p. 183-192, https://doi.org/10.1007/s13157-014-0613-3.","productDescription":"10 p.","startPage":"183","endPage":"192","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055327","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":324036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-05","publicationStatus":"PW","scienceBaseUri":"576913b0e4b07657d19fef94","contributors":{"authors":[{"text":"Tapp, Jessica L.","contributorId":172203,"corporation":false,"usgs":false,"family":"Tapp","given":"Jessica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":639913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637129,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70144566,"text":"70144566 - 2015 - Vegetation and non-native ungulate monitoring at the Big Island National Wildlife Refuge Complex 2010–2014.","interactions":[],"lastModifiedDate":"2018-01-05T12:29:28","indexId":"70144566","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-062","title":"Vegetation and non-native ungulate monitoring at the Big Island National Wildlife Refuge Complex 2010–2014.","docAbstract":"The Hakalau Forest Unit (HFU) of Big Island National Wildlife Refuge Complex (BINWRC) has intensively managed feral cattle (Bos taurus) and pigs (Sus scrofa) and monitored non-native ungulate presence and distribution during surveys of all managed areas since 1988. We: 1) provide results from recent ungulate surveys at HFU to determine current feral pig abundance and distribution; 2) present results of surveys of ungulate presence and distribution at the Kona Forest Unit (KFU); 3) present results of surveys of weed presence and cover at both refuge units; and 4) present baseline results from long-term vegetation monitoring plots at KFU. Overall pig abundance appears to have decreased at HFU, although not significantly, over the period from 2010 to 2014. Management units 2 and 4 contained the majority of pigs at HFU. Pig density outside of adjacent managed areas has declined significantly from 2010 to 2014 for unknown reasons. Ungulate sign occurred in > 50% of plots at KFU during the November 2012 and September 2013 surveys, but ungulate sign occurred in < 28% of plots during three other surveys. The ability to differentiate sign of ungulate species remains problematic at KFU. Changes in weed cover do not yet demonstrate any strong temporal pattern. Spatial patterns are more pronounced; however, some weed species may not be reliably represented due to observers’ abilities to recognize less common weeds. Nonetheless, the distribution and cover of fireweed (Senecio madagascariensis) at KFU may have increased over the study period. Vegetation surveys documented baseline floristic composition and forest structure at KFU. It is not known if this current amount of emerging cover is sufficient for long-term self-sustaining forest canopy regeneration; however, numerous ‘ōhi‘a seedlings were found in the wet forest and mesic ‘ōhi‘a habitats, indicating an ample viable seed source and robust potential for forest regeneration.
","language":"English","publisher":"University of Hawaii at Hilo","usgsCitation":"Hess, S.C., Leopold, C.R., and Kendall, S.J., 2015, Vegetation and non-native ungulate monitoring at the Big Island National Wildlife Refuge Complex 2010–2014.: Technical Report HCSU-062, v. 62, iii, 28 p.","productDescription":"iii, 28 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061773","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":312028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299171,"type":{"id":15,"text":"Index Page"},"url":"https://hilo.hawaii.edu/hcsu/documents/TR62_Leopold_Ungulate.pdf"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kona Forest Unit of the Big Island National Wildlife Refuge Complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.3353500366211,\n 19.87393439059482\n ],\n [\n -155.24368286132812,\n 19.875871631390044\n ],\n [\n -155.2251434326172,\n 19.77865755578535\n ],\n [\n -155.31234741210938,\n 19.77542683229088\n ],\n [\n -155.34118652343747,\n 19.781565150921896\n ],\n [\n -155.3350067138672,\n 19.810315177998\n ],\n [\n -155.33226013183594,\n 19.841320618149417\n ],\n [\n -155.33672332763672,\n 19.870705603320523\n ],\n [\n -155.3353500366211,\n 19.87393439059482\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"62","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5666bbfde4b06a3ea36c8b5d","contributors":{"authors":[{"text":"Hess, Steven C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":3156,"corporation":false,"usgs":true,"family":"Hess","given":"Steven","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":543711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leopold, Christina R.","contributorId":46817,"corporation":false,"usgs":true,"family":"Leopold","given":"Christina","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":543712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, Steven J.","contributorId":30911,"corporation":false,"usgs":false,"family":"Kendall","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":543713,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159786,"text":"70159786 - 2015 - The role of water in unconventional in situ energy resource extraction technologies","interactions":[],"lastModifiedDate":"2022-12-06T23:53:56.61256","indexId":"70159786","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"The role of water in unconventional in situ energy resource extraction technologies","docAbstract":"Global trends toward developing new energy resources from lower grade, larger tonnage deposits that are not generally accessible using “conventional” extraction methods involve variations of subsurface in situ extraction techniques including in situ oil shale retorting, hydraulic fracturing of petroleum reservoirs, and in situ recovery of uranium. Although these methods are economically feasible and perhaps result in a smaller above-ground land-use footprint, there remain uncertainties regarding potential subsurface impacts to groundwater. This chapter provides an overview of the role of water in these technologies and the opportunities and challenges for water reuse and recycling.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Food, energy, and water: The chemistry connection","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-800211-7.00007-7","usgsCitation":"Gallegos, T.J., Bern, C., Birdwell, J.E., Haines, S.S., and Engle, M.A., 2015, The role of water in unconventional in situ energy resource extraction technologies, chap. 7 of Food, energy, and water: The chemistry connection, p. 183-215, https://doi.org/10.1016/B978-0-12-800211-7.00007-7.","productDescription":"33 p.","startPage":"183","endPage":"215","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057244","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":311646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"565446c6e4b071e7ea53d4dd","contributors":{"editors":[{"text":"Ahuja, Satinder","contributorId":59343,"corporation":false,"usgs":true,"family":"Ahuja","given":"Satinder","affiliations":[],"preferred":false,"id":858433,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Gallegos, Tanya J. 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":2206,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":580441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bern, Carleton R. cbern@usgs.gov","contributorId":139818,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton R.","email":"cbern@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":580443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":580442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":580444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":580445,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176621,"text":"70176621 - 2015 - Genetic diversity and host specificity varies across three genera of blood parasites in ducks of the Pacific Americas Flyway","interactions":[],"lastModifiedDate":"2018-08-16T21:28:57","indexId":"70176621","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","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":"Genetic diversity and host specificity varies across three genera of blood parasites in ducks of the Pacific Americas Flyway","docAbstract":"Birds of the order Anseriformes, commonly referred to as waterfowl, are frequently infected by Haemosporidia of the genera Haemoproteus, Plasmodium, and Leucocytozoon via dipteran vectors. We analyzed nucleotide sequences of the Cytochrome b (Cytb) gene from parasites of these genera detected in six species of ducks from Alaska and California, USA to characterize the genetic diversity of Haemosporidia infecting waterfowl at two ends of the Pacific Americas Flyway. In addition, parasite Cytb sequences were compared to those available on a public database to investigate specificity of genetic lineages to hosts of the order Anseriformes. Haplotype and nucleotide diversity of Haemoproteus Cytb sequences was lower than was detected for Plasmodium and Leucocytozoon parasites. Although waterfowl are presumed to be infected by only a single species of Leucocytozoon, L. simondi, diversity indices were highest for haplotypes from this genus and sequences formed five distinct clades separated by genetic distances of 4.9%–7.6%, suggesting potential cryptic speciation. All Haemoproteus andLeucocytozoon haplotypes derived from waterfowl samples formed monophyletic clades in phylogenetic analyses and were unique to the order Anseriformes with few exceptions. In contrast, waterfowl-origin Plasmodium haplotypes were identical or closely related to lineages found in other avian orders. Our results suggest a more generalist strategy for Plasmodiumparasites infecting North American waterfowl as compared to those of the generaHaemoproteus and Leucocytozoon.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0116661","usgsCitation":"Reeves, A.B., Smith, M.M., Meixell, B.W., Fleskes, J.P., and Ramey, A.M., 2015, Genetic diversity and host specificity varies across three genera of blood parasites in ducks of the Pacific Americas Flyway: PLoS ONE, v. 10, no. 2, e0116661; 15 p., https://doi.org/10.1371/journal.pone.0116661.","productDescription":"e0116661; 15 p.","ipdsId":"IP-059454","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472310,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0116661","text":"Publisher Index Page"},{"id":328891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"2","noUsgsAuthors":false,"publicationDate":"2015-02-24","publicationStatus":"PW","scienceBaseUri":"57f7ee45e4b0bc0bec09e977","contributors":{"authors":[{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":649402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Matthew M. 0000-0002-2259-5135 mmsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-2259-5135","contributorId":5115,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"mmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":649403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":649404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":1889,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":649405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":649406,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189346,"text":"70189346 - 2015 - Inter-annual and spatial variability of Hamon potential evapotranspiration model coefficients","interactions":[],"lastModifiedDate":"2017-07-11T16:16:33","indexId":"70189346","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Inter-annual and spatial variability of Hamon potential evapotranspiration model coefficients","docAbstract":"Monthly calibrated values of the Hamon PET coefficient (C) are determined for 109,951 hydrologic response units (HRUs) across the conterminous United States (U.S.). The calibrated coefficient values are determined by matching calculated mean monthly Hamon PET to mean monthly free-water surface evaporation. For most locations and months the calibrated coefficients are larger than the standard value reported by Hamon. The largest changes in the coefficients were for the late winter/early spring and fall months, whereas the smallest changes were for the summer months. Comparisons of PET computed using the standard value of C and computed using calibrated values of C indicate that for most of the conterminous U.S. PET is underestimated using the standard Hamon PET coefficient, except for the southeastern U.S.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.12.006","usgsCitation":"McCabe, G., Hay, L.E., Bock, A., Markstrom, S., and Atkinson, R., 2015, Inter-annual and spatial variability of Hamon potential evapotranspiration model coefficients: Journal of Hydrology, v. 521, p. 389-394, https://doi.org/10.1016/j.jhydrol.2014.12.006.","productDescription":"6 p.","startPage":"389","endPage":"394","ipdsId":"IP-058189","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"521","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b4b0e4b0d1f9f05b382f","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":1453,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":704307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":704308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bock, Andy 0000-0001-7222-6613 abock@usgs.gov","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":174776,"corporation":false,"usgs":true,"family":"Bock","given":"Andy","email":"abock@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":704309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":704310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atkinson, R. Dwight","contributorId":174777,"corporation":false,"usgs":false,"family":"Atkinson","given":"R. Dwight","affiliations":[{"id":27513,"text":"U.S. Environmental Protection Agency, Office of Water","active":true,"usgs":false}],"preferred":false,"id":704311,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70174827,"text":"70174827 - 2015 - The aging of America's reservoirs: In-reservoir and downstream physical changes and habitat implications","interactions":[],"lastModifiedDate":"2016-07-18T11:40:19","indexId":"70174827","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"The aging of America's reservoirs: In-reservoir and downstream physical changes and habitat implications","docAbstract":"Reservoirs are important for various purposes including flood control, water supply, power generation, and recreation. The aging of America's reservoirs and progressive loss of water storage capacity resulting from ongoing sedimentation, coupled with increasing societal needs, will cause the social, economic, environmental, and political importance of reservoirs to continually increase. The short- and medium-term (<50 years) environmental consequences of reservoir construction and operation are well known and include an altered flow regime, lost connectivity (longitudinal, floodplain), an altered sediment regime, substrate compositional change, and downstream channel degradation. In general, reservoir-related changes have had adverse consequences for the natural ecosystem. Longer term (>50 years) environmental changes as reservoirs enter “old” age are less understood. Additional research is needed to help guide the future management of aging reservoir systems and support the difficult decisions that will have to be made. Important research directions include assessment of climate change effects on aging and determination of ecosystem response to ongoing aging and various management actions that may be taken with the intent of minimizing or reversing the physical effects of aging.
","language":"English","publisher":"American Water Resources Association","doi":"10.1111/jawr.12238","usgsCitation":"Juracek, K.E., 2015, The aging of America's reservoirs: In-reservoir and downstream physical changes and habitat implications: Journal of the American Water Resources Association, v. 51, no. 1, p. 168-184, https://doi.org/10.1111/jawr.12238.","productDescription":"17 p.","startPage":"168","endPage":"184","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035997","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":325359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-03","publicationStatus":"PW","scienceBaseUri":"578dfdbae4b0f1bea0e0f8fa","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":642665,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70170584,"text":"70170584 - 2015 - Preliminary evaluation of an in vivo fluorometer to quantify algal periphyton biomass and community composition","interactions":[],"lastModifiedDate":"2016-04-28T10:29:12","indexId":"70170584","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Preliminary evaluation of an in vivo fluorometer to quantify algal periphyton biomass and community composition","docAbstract":"The bbe-Moldaenke BenthoTorch (BT) is an in vivo fluorometer designed to quantify algal biomass and community composition in benthic environments. The BT quantifies total algal biomass via chlorophyll a (Chl-a) concentration and may differentiate among cyanobacteria, green algae, and diatoms based on pigment fluorescence. To evaluate how BT measurements of periphytic algal biomass (as Chl-a) compared with an ethanol extraction laboratory analysis, we collected BT- and laboratory-measured Chl-a data from 6 stream sites in the Indian Creek basin, Johnson County, Kansas, during August and September 2012. BT-measured Chl-a concentrations were positively related to laboratory-measured concentrations (R2 = 0.47); sites with abundant filamentous algae had weaker relations (R2 = 0.27). Additionally, on a single sample date, we used the BT to determine periphyton biomass and community composition upstream and downstream from 2 wastewater treatment facilities (WWTF) that discharge into Indian Creek. We found that algal biomass increased immediately downstream from the WWTF discharge then slowly decreased as distance from the WWTF increased. Changes in periphyton community structure also occurred; however, there were discrepancies between BT- and laboratory-measured community composition data. Most notably, cyanobacteria were present at all sites based on BT measurements but were present at only one site based on laboratory-analyzed samples. Overall, we found that the BT compared reasonably well with laboratory methods for relative patterns in Chl-a but not as well with absolute Chl-aconcentrations. Future studies need to test the BT over a wider range of Chl-aconcentrations, in colored waters, and across various periphyton assemblages.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2015.1025153","usgsCitation":"Harris, T.D., and Graham, J., 2015, Preliminary evaluation of an in vivo fluorometer to quantify algal periphyton biomass and community composition: Lake and Reservoir Management, v. 31, no. 2, p. 127-133, https://doi.org/10.1080/10402381.2015.1025153.","productDescription":"7 p.","startPage":"127","endPage":"133","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057798","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":320628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","county":"Johnson County","otherGeospatial":"Indian Creek basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.68875885009766,\n 38.90412551322715\n ],\n [\n -94.68875885009766,\n 38.963279677655805\n ],\n [\n -94.60773468017578,\n 38.963279677655805\n ],\n [\n -94.60773468017578,\n 38.90412551322715\n ],\n [\n -94.68875885009766,\n 38.90412551322715\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-18","publicationStatus":"PW","scienceBaseUri":"57233431e4b0b13d39148cef","contributors":{"authors":[{"text":"Harris, Theodore D. 0000-0003-0944-8007 tdharris@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-8007","contributorId":4040,"corporation":false,"usgs":true,"family":"Harris","given":"Theodore","email":"tdharris@usgs.gov","middleInitial":"D.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":627778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":150737,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer L.","email":"jlgraham@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":627779,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155114,"text":"70155114 - 2015 - Tectonic activity as a significant source of crustal tetrafluoromethane emissions to the atmosphere: observations in groundwaters along the San Andreas Fault","interactions":[],"lastModifiedDate":"2015-07-30T10:47:27","indexId":"70155114","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Tectonic activity as a significant source of crustal tetrafluoromethane emissions to the atmosphere: observations in groundwaters along the San Andreas Fault","docAbstract":"Tetrafluoromethane (CF4) concentrations were measured in 14 groundwater samples from the Cuyama Valley, Mil Potrero and Cuddy Valley aquifers along the Big Bend section of the San Andreas Fault System (SAFS) in California to assess whether tectonic activity in this region is a significant source of crustal CF4 to the atmosphere. Dissolved CF4 concentrations in all groundwater samples but one were elevated with respect to estimated recharge concentrations including entrainment of excess air during recharge (CreCre; ∼30 fmol kg−1 H2O), indicating subsurface addition of CF4 to these groundwaters. Groundwaters in the Cuyama Valley contain small CF4 excesses (0.1–9 times CreCre), which may be attributed to an in situ release from weathering and a minor addition of deep crustal CF4 introduced to the shallow groundwater through nearby faults. CF4 excesses in groundwaters within 200 m of the SAFS are larger (10–980 times CreCre) and indicate the presence of a deep crustal flux of CF4 that is likely associated with the physical alteration of silicate minerals in the shear zone of the SAFS. Extrapolating CF4 flux rates observed in this study to the full extent of the SAFS (1300 km × 20–100 km) suggests that the SAFS potentially emits (0.3–1)×10−1 kg(0.3–1)×10−1 kg CF4 yr−1 to the Earth's surface. For comparison, the chemical weathering of ∼7.5×104 km2∼7.5×104 km2 of granitic rock in California is estimated to release (0.019–3.2)×10−1 kg(0.019–3.2)×10−1 kg CF4 yr−1. Tectonic activity is likely an important, and potentially the dominant, driver of natural emissions of CF4 to the atmosphere. Variations in preindustrial atmospheric CF4 as observed in paleo-archives such as ice cores may therefore represent changes in both continental weathering and tectonic activity, including changes driven by variations in continental ice cover during glacial–interglacial transitions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2014.12.016","usgsCitation":"Deeds, D., Kulongoski, J., Muhle, J., and Weiss, R.F., 2015, Tectonic activity as a significant source of crustal tetrafluoromethane emissions to the atmosphere: observations in groundwaters along the San Andreas Fault: Earth and Planetary Science Letters, v. 412, p. 163-172, https://doi.org/10.1016/j.epsl.2014.12.016.","productDescription":"10 p.","startPage":"163","endPage":"172","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049276","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":306244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Cuyama Valley, Mil Potrero and Cuddy Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.94873046875,\n 34.43862840686652\n ],\n [\n -119.94873046875,\n 35.07946034047981\n ],\n [\n -118.267822265625,\n 35.07946034047981\n ],\n [\n -118.267822265625,\n 34.43862840686652\n ],\n [\n -119.94873046875,\n 34.43862840686652\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"412","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b98fc0e4b08f6647be517f","contributors":{"authors":[{"text":"Deeds, Daniel A. ddeeds@usgs.gov","contributorId":5087,"corporation":false,"usgs":true,"family":"Deeds","given":"Daniel A.","email":"ddeeds@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":564809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":919,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","email":"kulongos@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":564810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muhle, Jens","contributorId":145626,"corporation":false,"usgs":false,"family":"Muhle","given":"Jens","email":"","affiliations":[{"id":12888,"text":"Scripps Institution of Oceanography, Univ of California","active":true,"usgs":false}],"preferred":false,"id":564811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weiss, Ray F.","contributorId":145627,"corporation":false,"usgs":false,"family":"Weiss","given":"Ray","email":"","middleInitial":"F.","affiliations":[{"id":12888,"text":"Scripps Institution of Oceanography, Univ of California","active":true,"usgs":false}],"preferred":false,"id":564812,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70157128,"text":"70157128 - 2015 - In the path of destruction - eyewitness chronicles of Mount St. Helens","interactions":[],"lastModifiedDate":"2019-11-07T15:02:20","indexId":"70157128","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"In the path of destruction - eyewitness chronicles of Mount St. Helens","docAbstract":"A geologist with intimate knowledge of Mount St. Helens, Richard Waitt chronicles the eruption through unforgettable, riveting narratives—the heart of a masterful chronology that also delivers engrossing science, history, and journalism.
","language":"English","publisher":"Washington State University Press","isbn":"978-0-87422-323-1","usgsCitation":"Waitt, R.B., 2015, In the path of destruction - eyewitness chronicles of Mount St. Helens, 416 p.","productDescription":"416 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044310","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":307982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307981,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://wsupress.wsu.edu/product/in-the-path-of-destruction/"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.30804443359375,\n 46.11132565729796\n ],\n [\n -122.30804443359375,\n 46.27103747280261\n ],\n [\n -122.05673217773438,\n 46.27103747280261\n ],\n [\n -122.05673217773438,\n 46.11132565729796\n ],\n [\n -122.30804443359375,\n 46.11132565729796\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f15830e4b0dacf699eb967","contributors":{"authors":[{"text":"Waitt, Richard B. 0000-0002-6392-5604 waitt@usgs.gov","orcid":"https://orcid.org/0000-0002-6392-5604","contributorId":2343,"corporation":false,"usgs":true,"family":"Waitt","given":"Richard","email":"waitt@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":571756,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70155255,"text":"70155255 - 2015 - Evaluation of satellite rainfall estimates for drought and flood monitoring in Mozambique","interactions":[],"lastModifiedDate":"2017-01-18T10:07:16","indexId":"70155255","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of satellite rainfall estimates for drought and flood monitoring in Mozambique","docAbstract":"Satellite derived rainfall products are useful for drought and flood early warning and overcome the problem of sparse, unevenly distributed and erratic rain gauge observations, provided their accuracy is well known. Mozambique is highly vulnerable to extreme weather events such as major droughts and floods and thus, an understanding of the strengths and weaknesses of different rainfall products is valuable. Three dekadal (10-day) gridded satellite rainfall products (TAMSAT African Rainfall Climatology And Time-series (TARCAT) v2.0, Famine Early Warning System NETwork (FEWS NET) Rainfall Estimate (RFE) v2.0, and Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS)) are compared to independent gauge data (2001–2012). This is done using pairwise comparison statistics to evaluate the performance in estimating rainfall amounts and categorical statistics to assess rain-detection capabilities. The analysis was performed for different rainfall categories, over the seasonal cycle and for regions dominated by different weather systems. Overall, satellite products overestimate low and underestimate high dekadal rainfall values. The RFE and CHIRPS products perform as good, generally outperforming TARCAT on the majority of statistical measures of skill. TARCAT detects best the relative frequency of rainfall events, while RFE underestimates and CHIRPS overestimates the rainfall events frequency. Differences in products performance disappear with higher rainfall and all products achieve better results during the wet season. During the cyclone season, CHIRPS shows the best results, while RFE outperforms the other products for lower dekadal rainfall. Products blending thermal infrared and passive microwave imagery perform better than infrared only products and particularly when meteorological patterns are more complex, such as over the coastal, central and south regions of Mozambique, where precipitation is influenced by frontal systems.
","language":"English","publisher":"MDPI AG","doi":"10.3390/rs70201758","usgsCitation":"Tote, C., Patricio, D., Boogaard, H., van der Wijngaart, R., Tarnavsky, E., and Funk, C.C., 2015, Evaluation of satellite rainfall estimates for drought and flood monitoring in Mozambique: Remote Sensing, v. 7, no. 2, p. 1758-1776, https://doi.org/10.3390/rs70201758.","productDescription":"19 p.","startPage":"1758","endPage":"1776","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062070","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472308,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs70201758","text":"Publisher Index Page"},{"id":306853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mozambique","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 32.93701171875,\n -26.88288045572338\n ],\n [\n 32.18994140625,\n -26.843677401113002\n ],\n [\n 32.05810546875,\n -26.056782885778798\n ],\n [\n 31.9482421875,\n -25.859223554761382\n ],\n [\n 31.9921875,\n -24.467150664738977\n ],\n [\n 31.552734374999996,\n -23.443088931121775\n ],\n [\n 31.26708984375,\n -22.41102852155869\n ],\n [\n 32.40966796875,\n -21.309846141087192\n ],\n [\n 32.3876953125,\n -21.105000275382054\n ],\n [\n 32.4755859375,\n -20.509354588714576\n ],\n [\n 33.0029296875,\n -19.746024239625417\n ],\n [\n 32.783203125,\n -19.394067895396613\n ],\n [\n 32.6953125,\n -18.750309813140653\n ],\n [\n 32.93701171875,\n -18.375379094031814\n ],\n [\n 32.958984375,\n -17.455472579972827\n ],\n [\n 32.87109375,\n -16.867633616803836\n ],\n [\n 32.431640625,\n -16.488764934242063\n ],\n [\n 31.640625,\n -16.13026201203474\n ],\n [\n 30.95947265625,\n -16.024695711685304\n ],\n [\n 30.454101562499996,\n -16.003575733881313\n ],\n [\n 30.16845703125,\n -14.987239525774244\n ],\n [\n 33.15673828125,\n -13.966054081318301\n ],\n [\n 33.7060546875,\n -14.541049898060388\n ],\n [\n 34.43115234375,\n -14.349547837185362\n ],\n [\n 34.51904296875,\n -14.626108798876839\n ],\n [\n 34.60693359375,\n -15.347761924346937\n ],\n [\n 34.27734375,\n -15.834535741221552\n ],\n [\n 34.47509765625,\n -16.25686733062344\n ],\n [\n 35.13427734375,\n -16.941214960202647\n ],\n [\n 35.057373046875,\n -17.02527268537679\n ],\n [\n 35.079345703125,\n -17.151288449816732\n ],\n [\n 35.299072265625,\n -17.130291743533746\n ],\n [\n 35.26611328125,\n -16.70986293320658\n ],\n [\n 35.17822265625,\n -16.55196172197251\n ],\n [\n 35.4638671875,\n -16.140815555276024\n ],\n [\n 35.8154296875,\n -15.993014907400758\n ],\n [\n 35.83740234375,\n -14.77488250651626\n ],\n [\n 35.35400390625,\n -14.008696370634658\n ],\n [\n 34.80468749999999,\n -13.47510594433495\n ],\n [\n 34.4970703125,\n -13.47510594433495\n ],\n [\n 34.34326171875,\n -12.103780891645817\n ],\n [\n 34.5849609375,\n -11.5230875068685\n ],\n [\n 35.96923828125,\n -11.480024648555816\n ],\n [\n 37.001953125,\n -11.544616463449655\n ],\n [\n 37.94677734374999,\n -11.24306204194776\n ],\n [\n 38.60595703125,\n -11.329253026617318\n ],\n [\n 40.517578125,\n -10.422988388338242\n ],\n [\n 40.84716796875,\n -14.689881366618762\n ],\n [\n 39.814453125,\n -16.46769474828897\n ],\n [\n 36.93603515625,\n -17.97873309555617\n ],\n [\n 36.25488281249999,\n -18.916679786648565\n ],\n [\n 34.87060546875,\n -19.828725387681168\n ],\n [\n 34.78271484375,\n -20.42701281425737\n ],\n [\n 35.57373046875,\n -22.41102852155869\n ],\n [\n 35.4638671875,\n -24.206889622398023\n ],\n [\n 34.4091796875,\n -24.926294766395593\n ],\n [\n 33.11279296875,\n -25.423431426334233\n ],\n [\n 32.607421875,\n -26.056782885778798\n ],\n [\n 32.93701171875,\n -26.254009699865737\n ],\n [\n 32.93701171875,\n -26.88288045572338\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-05","publicationStatus":"PW","scienceBaseUri":"55d45730e4b0518e354694c3","contributors":{"authors":[{"text":"Tote, Carolien","contributorId":145818,"corporation":false,"usgs":false,"family":"Tote","given":"Carolien","email":"","affiliations":[{"id":16241,"text":"Flemish Institute for Technological Research (VITO), Remote Sensing Unit","active":true,"usgs":false}],"preferred":false,"id":565387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patricio, Domingos","contributorId":145819,"corporation":false,"usgs":false,"family":"Patricio","given":"Domingos","email":"","affiliations":[{"id":16242,"text":"Instituto Nacional de Meteorologia - Mozambique;","active":true,"usgs":false}],"preferred":false,"id":565388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boogaard, Hendrik","contributorId":145820,"corporation":false,"usgs":false,"family":"Boogaard","given":"Hendrik","email":"","affiliations":[{"id":16243,"text":"Alterra, Wageningen University","active":true,"usgs":false}],"preferred":false,"id":565389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van der Wijngaart, Raymond","contributorId":146587,"corporation":false,"usgs":false,"family":"van der Wijngaart","given":"Raymond","email":"","affiliations":[],"preferred":false,"id":568389,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tarnavsky, Elena","contributorId":145821,"corporation":false,"usgs":false,"family":"Tarnavsky","given":"Elena","email":"","affiliations":[{"id":16244,"text":"TAMSAT Research Group, University of Reading, UK","active":true,"usgs":false}],"preferred":false,"id":565390,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":565386,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70141019,"text":"70141019 - 2015 - Genomics and introgression: Discovery and mapping of thousands of species-diagnostic SNPs using RAD sequencing","interactions":[],"lastModifiedDate":"2020-12-18T15:14:33.284218","indexId":"70141019","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1362,"text":"Current Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Genomics and introgression: Discovery and mapping of thousands of species-diagnostic SNPs using RAD sequencing","docAbstract":"Invasive hybridization and introgression pose a serious threat to the persistence of many native species. Understanding the effects of hybridization on native populations (e.g., fitness consequences) requires numerous species-diagnostic loci distributed genome-wide. Here we used RAD sequencing to discover thousands of single-nucleotide polymorphisms (SNPs) that are diagnostic between rainbow trout (RBT, Oncorhynchus mykiss), the world’s most widely introduced fish, and native westslope cutthroat trout (WCT, O. clarkii lewisi) in the northern Rocky Mountains, USA. We advanced previous work that identified 4,914 species-diagnostic loci by using longer sequence reads (100 bp vs. 60 bp) and a larger set of individuals (n = 84). We sequenced RAD libraries for individuals from diverse sampling sources, including native populations of WCT and hatchery broodstocks of WCT and RBT. We also took advantage of a newly released reference genome assembly for RBT to align our RAD loci. In total, we discovered 16,788 putatively diagnostic SNPs, 10,267 of which we mapped to anchored chromosome locations on the RBT genome. A small portion of previously discovered putative diagnostic loci (325 of 4,914) were no longer diagnostic (i.e., fixed between species) based on our wider survey of non-hybridized RBT and WCT individuals. Our study suggests that RAD loci mapped to a draft genome assembly could provide the marker density required to identify genes and chromosomal regions influencing selection in admixed populations of conservation concern and evolutionary interest.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/czoolo/61.1.146","usgsCitation":"Hand, B., Hether, T.D., Kovach, R.P., Muhlfeld, C.C., Amish, S.J., Boyer, M.C., O’Rourke, S.M., Miller, M.R., Lowe, W., Hohenlohe, P.A., and Luikart, G., 2015, Genomics and introgression: Discovery and mapping of thousands of species-diagnostic SNPs using RAD sequencing: Current Zoology, v. 61, no. 1, p. 146-154, https://doi.org/10.1093/czoolo/61.1.146.","productDescription":"9 p.","startPage":"146","endPage":"154","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060064","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":472313,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/czoolo/61.1.146","text":"Publisher Index Page"},{"id":381477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.03759765625,\n 46.2102496001872\n ],\n [\n -116.03759765625,\n 48.96579381461063\n ],\n [\n -110.50048828124999,\n 48.96579381461063\n ],\n [\n -110.50048828124999,\n 46.2102496001872\n ],\n [\n -116.03759765625,\n 46.2102496001872\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"61","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-01","publicationStatus":"PW","scienceBaseUri":"54dd2a7ce4b08de9379b309e","contributors":{"authors":[{"text":"Hand, Brian K.","contributorId":139248,"corporation":false,"usgs":false,"family":"Hand","given":"Brian K.","affiliations":[{"id":12707,"text":"Flathead Lake Biological Station, Fish and Wildlife Genomics Group, University of Montana, Polson, MT 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Shields Avenue, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":540515,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lowe, Winsor H.","contributorId":64532,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor H.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":540516,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hohenlohe, Paul A.","contributorId":46399,"corporation":false,"usgs":false,"family":"Hohenlohe","given":"Paul","email":"","middleInitial":"A.","affiliations":[{"id":12708,"text":"Institute for Bioinformatics and Evolutionary Studies, Department of Biological Sciences, University of Idaho, Moscow, ID 83844","active":true,"usgs":false}],"preferred":false,"id":540518,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Luikart, Gordon","contributorId":97409,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":540519,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70142152,"text":"70142152 - 2015 - Time scales of porphyry Cu deposit formation: insights from titanium diffusion in quartz","interactions":[],"lastModifiedDate":"2015-03-03T11:18:21","indexId":"70142152","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Time scales of porphyry Cu deposit formation: insights from titanium diffusion in quartz","docAbstract":"Porphyry dikes and hydrothermal veins from the porphyry Cu-Mo deposit at Butte, Montana, contain multiple generations of quartz that are distinct in scanning electron microscope-cathodoluminescence (SEM-CL) images and in Ti concentrations. A comparison of microprobe trace element profiles and maps to SEM-CL images shows that the concentration of Ti in quartz correlates positively with CL brightness but Al, K, and Fe do not. After calibrating CL brightness in relation to Ti concentration, we use the brightness gradient between different quartz generations as a proxy for Ti gradients that we model to determine time scales of quartz formation and cooling. Model results indicate that time scales of porphyry magma residence are ~1,000s of years and time scales from porphyry quartz phenocryst rim formation to porphyry dike injection and cooling are ~10s of years. Time scales for the formation and cooling of various generations of hydrothermal vein quartz range from 10s to 10,000s of years. These time scales are considerably shorter than the ~0.6 m.y. overall time frame for each porphyry-style mineralization pulse determined from isotopic studies at Butte, Montana. Simple heat conduction models provide a temporal reference point to compare chemical diffusion time scales, and we find that they support short dike and vein formation time scales. We interpret these relatively short time scales to indicate that the Butte porphyry deposit formed by short-lived episodes of hydrofracturing, dike injection, and vein formation, each with discrete thermal pulses, which repeated over the ~3 m.y. generation of the deposit.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.110.3.587","usgsCitation":"Mercer, C.N., Reed, M.H., and Mercer, C., 2015, Time scales of porphyry Cu deposit formation: insights from titanium diffusion in quartz: Economic Geology, v. 110, no. 3, p. 587-602, https://doi.org/10.2113/econgeo.110.3.587.","productDescription":"16 p.","startPage":"587","endPage":"602","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053533","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":298244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","city":"Butte","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.35992431640625,\n 46.00089681276469\n ],\n [\n -112.35992431640625,\n 46.041663258553875\n ],\n [\n -112.2996711730957,\n 46.041663258553875\n ],\n [\n -112.2996711730957,\n 46.00089681276469\n ],\n [\n -112.35992431640625,\n 46.00089681276469\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"110","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-24","publicationStatus":"PW","scienceBaseUri":"54f6e949e4b02419550d30ab","contributors":{"authors":[{"text":"Mercer, Celestine N. 0000-0001-8359-4147 cmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-8359-4147","contributorId":4006,"corporation":false,"usgs":true,"family":"Mercer","given":"Celestine","email":"cmercer@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":541622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Mark H.","contributorId":139519,"corporation":false,"usgs":false,"family":"Reed","given":"Mark","email":"","middleInitial":"H.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":541623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercer, Cameron M.","contributorId":139520,"corporation":false,"usgs":false,"family":"Mercer","given":"Cameron M.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":541624,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70127397,"text":"70127397 - 2015 - Vegetation burn severity mapping using Landsat-8 and WorldView-2","interactions":[],"lastModifiedDate":"2016-07-08T15:05:35","indexId":"70127397","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation burn severity mapping using Landsat-8 and WorldView-2","docAbstract":"We used remotely sensed data from the Landsat-8 and WorldView-2 satellites to estimate vegetation burn severity of the Creek Fire on the San Carlos Apache Reservation, where wildfire occurrences affect the Tribe's crucial livestock and logging industries. Accurate pre- and post-fire canopy maps at high (0.5-meter) resolution were created from World- View-2 data to generate canopy loss maps, and multiple indices from pre- and post-fire Landsat-8 images were used to evaluate vegetation burn severity. Normalized difference vegetation index based vegetation burn severity map had the highest correlation coefficients with canopy loss map from WorldView-2. Two distinct approaches - canopy loss mapping from WorldView-2 and spectral index differencing from Landsat-8 - agreed well with the field-based burn severity estimates and are both effective for vegetation burn severity mapping. Canopy loss maps created with WorldView-2 imagery add to a short list of accurate vegetation burn severity mapping techniques that can help guide effective management of forest resources on the San Carlos Apache Reservation, and the broader fire-prone regions of the Southwest.
","language":"English","publisher":"Ingenta Connect","doi":"10.14358/PERS.81.2.143","usgsCitation":"Wu, Z., Middleton, B.R., Hetzler, R., Vogel, J.M., and Dye, D.G., 2015, Vegetation burn severity mapping using Landsat-8 and WorldView-2: Photogrammetric Engineering and Remote Sensing, v. 2, p. 143-154, https://doi.org/10.14358/PERS.81.2.143.","productDescription":"12 p.","startPage":"143","endPage":"154","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055282","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472311,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.81.2.143","text":"Publisher Index Page"},{"id":324949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780cec2e4b0811616822402","contributors":{"authors":[{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":519606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Middleton, Barry R. 0000-0001-8924-4121 bmiddleton@usgs.gov","orcid":"https://orcid.org/0000-0001-8924-4121","contributorId":3947,"corporation":false,"usgs":true,"family":"Middleton","given":"Barry","email":"bmiddleton@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":519604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hetzler, Robert","contributorId":117299,"corporation":false,"usgs":true,"family":"Hetzler","given":"Robert","affiliations":[],"preferred":false,"id":519607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vogel, John M. 0000-0002-8226-1188 jvogel@usgs.gov","orcid":"https://orcid.org/0000-0002-8226-1188","contributorId":3167,"corporation":false,"usgs":true,"family":"Vogel","given":"John","email":"jvogel@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":519603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dye, Dennis G. 0000-0002-7100-272X ddye@usgs.gov","orcid":"https://orcid.org/0000-0002-7100-272X","contributorId":4233,"corporation":false,"usgs":true,"family":"Dye","given":"Dennis","email":"ddye@usgs.gov","middleInitial":"G.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":519605,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70142186,"text":"70142186 - 2015 - Temperature effects induced by climate change on the growth and consumption by salmonines in Lakes Michigan and Huron","interactions":[],"lastModifiedDate":"2015-03-03T10:47:34","indexId":"70142186","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Temperature effects induced by climate change on the growth and consumption by salmonines in Lakes Michigan and Huron","docAbstract":"We used bioenergetics models to investigate temperature effects induced by climate change on the growth and consumption by Chinook salmon Oncorhynchus tshawytscha, lake trout Salvelinus namaycush, and steelhead O. mykiss in Lakes Michigan and Huron. We updated biological inputs to account for recent changes in the food webs and used temperature inputs in response to regional climate observed in the baseline period (1964–1993) and projected in the future period (2043–2070).Bioenergetics simulations were run across multiple age-classes and across all four seasons in different scenarios of prey availability. Due to the increased capacity of prey consumption, future growth and consumption by these salmonines were projected to increase substantially when prey availability was not limited. When prey consumption remained constant, future growth of these salmonines was projected to decrease in most cases but increase in some cases where the increase in metabolic cost can be compensated by the decrease in waste (egestion and excretion) loss. Consumption by these salmonines was projected to increase the most during spring and fall when prey energy densities are relatively high. Such seasonality benefits their future growth through increasing annual gross energy intake. Our results indicated that lake trout and steelhead would be better adapted to the warming climate than Chinook salmon. To maintain baseline growth into the future, an increase of 10 % in baseline prey consumption was required for Chinook salmon but considerably smaller increases, or no increases, in prey consumption were needed by lake trout and steelhead.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-014-0352-6","usgsCitation":"Kao, Y., Madenjian, C.P., Bunnell, D., Lofgren, B.M., and Perroud, M., 2015, Temperature effects induced by climate change on the growth and consumption by salmonines in Lakes Michigan and Huron: Environmental Biology of Fishes, v. 98, no. 4, p. 1089-1104, https://doi.org/10.1007/s10641-014-0352-6.","productDescription":"16 p.","startPage":"1089","endPage":"1104","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052575","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":298241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron, Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.83642578125,\n 45.99696161820381\n ],\n [\n -85.6494140625,\n 46.17222297845542\n ],\n [\n -87.066650390625,\n 45.96642454131025\n ],\n [\n -88.13232421875,\n 44.59046718130883\n ],\n [\n -87.791748046875,\n 44.11914151643737\n ],\n [\n -88.04443359375,\n 43.20517581723733\n ],\n [\n -87.945556640625,\n 42.12267315117259\n ],\n [\n -87.462158203125,\n 41.48389104267175\n ],\n [\n -86.4404296875,\n 41.86956082699455\n ],\n [\n -85.946044921875,\n 42.79540065303723\n ],\n [\n -86.3525390625,\n 43.644025847699496\n ],\n [\n -85.98999023437499,\n 44.68427737181225\n ],\n [\n -85.18798828125,\n 44.78573392716592\n ],\n [\n -84.451904296875,\n 45.42158812329091\n ],\n [\n -83.56201171875,\n 45.166547157856016\n ],\n [\n -83.60595703125,\n 44.47299117260252\n ],\n [\n -84.17724609375,\n 43.79488907226601\n ],\n [\n -83.69384765625,\n 43.46089378008257\n ],\n [\n -82.9248046875,\n 43.95328204198018\n ],\n [\n -82.50732421875,\n 42.924251753870685\n ],\n [\n -81.661376953125,\n 43.27720532212024\n ],\n [\n -81.177978515625,\n 44.824708282300236\n ],\n [\n -81.968994140625,\n 45.71385093029221\n ],\n [\n -83.671875,\n 45.98932892799953\n ],\n [\n -84.627685546875,\n 46.09609080214316\n ],\n [\n -84.83642578125,\n 45.99696161820381\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"98","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-04","publicationStatus":"PW","scienceBaseUri":"54f6e948e4b02419550d30a9","contributors":{"authors":[{"text":"Kao, Yu-Chun","contributorId":35626,"corporation":false,"usgs":false,"family":"Kao","given":"Yu-Chun","affiliations":[{"id":6649,"text":"University of Michigan, School of Natural Resources and Environment","active":true,"usgs":false}],"preferred":false,"id":541703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madenjian, Charles P. 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":541702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":3139,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":541704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lofgren, Brent M.","contributorId":139534,"corporation":false,"usgs":false,"family":"Lofgren","given":"Brent","email":"","middleInitial":"M.","affiliations":[{"id":12789,"text":"NOAA Great Lakes Environmental Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":541705,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perroud, Marjorie","contributorId":139535,"corporation":false,"usgs":false,"family":"Perroud","given":"Marjorie","email":"","affiliations":[{"id":12790,"text":"Cooperative Institute for Limnology and Ecosystems Research, University of Michigan","active":true,"usgs":false}],"preferred":false,"id":541706,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193751,"text":"70193751 - 2015 - Anomalous solute transport in saturated porous media: Relating transport model parameters to electrical and nuclear magnetic resonance properties","interactions":[],"lastModifiedDate":"2018-09-04T15:50:44","indexId":"70193751","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Anomalous solute transport in saturated porous media: Relating transport model parameters to electrical and nuclear magnetic resonance properties","docAbstract":"The advection-dispersion equation (ADE) fails to describe commonly observed non-Fickian solute transport in saturated porous media, necessitating the use of other models such as the dual-domain mass-transfer (DDMT) model. DDMT model parameters are commonly calibrated via curve fitting, providing little insight into the relation between effective parameters and physical properties of the medium. There is a clear need for material characterization techniques that can provide insight into the geometry and connectedness of pore spaces related to transport model parameters. Here, we consider proton nuclear magnetic resonance (NMR), direct-current (DC) resistivity, and complex conductivity (CC) measurements for this purpose, and assess these methods using glass beads as a control and two different samples of the zeolite clinoptilolite, a material that demonstrates non-Fickian transport due to intragranular porosity. We estimate DDMT parameters via calibration of a transport model to column-scale solute tracer tests, and compare NMR, DC resistivity, CC results, which reveal that grain size alone does not control transport properties and measured geophysical parameters; rather, volume and arrangement of the pore space play important roles. NMR cannot provide estimates of more-mobile and less-mobile pore volumes in the absence of tracer tests because these estimates depend critically on the selection of a material-dependent and flow-dependent cutoff time. Increased electrical connectedness from DC resistivity measurements are associated with greater mobile pore space determined from transport model calibration. CC was hypothesized to be related to length scales of mass transfer, but the CC response is unrelated to DDMT.
","language":"English","publisher":"AGU","doi":"10.1002/2014WR015284","usgsCitation":"Swanson, R., Binley, A., Keating, K., France, S., Osterman, G., Day-Lewis, F.D., and Singha, K., 2015, Anomalous solute transport in saturated porous media: Relating transport model parameters to electrical and nuclear magnetic resonance properties: Water Resources Research, v. 51, no. 2, p. 1264-1283, https://doi.org/10.1002/2014WR015284.","productDescription":"20 p.","startPage":"1264","endPage":"1283","ipdsId":"IP-057728","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472303,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014wr015284","text":"Publisher Index Page"},{"id":349126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-27","publicationStatus":"PW","scienceBaseUri":"5a60febde4b06e28e9c2533f","contributors":{"authors":[{"text":"Swanson, Ryan D","contributorId":199846,"corporation":false,"usgs":false,"family":"Swanson","given":"Ryan D","affiliations":[],"preferred":false,"id":720193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Binley, Andrew 0000-0002-0938-9070","orcid":"https://orcid.org/0000-0002-0938-9070","contributorId":192556,"corporation":false,"usgs":false,"family":"Binley","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":720194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keating, Kristina","contributorId":199847,"corporation":false,"usgs":false,"family":"Keating","given":"Kristina","email":"","affiliations":[],"preferred":false,"id":720195,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"France, Samantha","contributorId":199848,"corporation":false,"usgs":false,"family":"France","given":"Samantha","email":"","affiliations":[],"preferred":false,"id":720196,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osterman, Gordon","contributorId":199849,"corporation":false,"usgs":false,"family":"Osterman","given":"Gordon","email":"","affiliations":[],"preferred":false,"id":720197,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":720192,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Singha, Kamini 0000-0002-0605-3774","orcid":"https://orcid.org/0000-0002-0605-3774","contributorId":191366,"corporation":false,"usgs":false,"family":"Singha","given":"Kamini","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":720198,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70178680,"text":"70178680 - 2015 - Ecosystem-atmosphere exchange of CO2 in a temperate herbaceous peatland in the Sanjiang Plain of northeast China","interactions":[],"lastModifiedDate":"2016-12-05T11:18:16","indexId":"70178680","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem-atmosphere exchange of CO2 in a temperate herbaceous peatland in the Sanjiang Plain of northeast China","docAbstract":"Northern peatlands contain a considerable share of the terrestrial carbon pool, which will be affected by future climatic variability. Using the static chamber technique, we investigated ecosystem respiration and soil respiration over two growing seasons (2012 and 2013) in a Carex lasiocarpa-dominated peatland in the Sanjiang Plain in China. We synchronously monitored the environmental factors controlling CO2 fluxes. Ecosystem respiration during these two growing seasons ranged from 33.3 to 506.7 mg CO2–C m−2 h−1. Through step-wise regression, variations in soil temperature at 10 cm depth alone explained 73.7% of the observed variance in log10(ER). The mean Q10 values ranged from 2.1 to 2.9 depending on the choice of depth where soil temperature was measured. The Q10 value at the 10 cm depth (2.9) appears to be a good representation for herbaceous peatland in the Sanjiang Plain when applying field-estimation based Q10values to current terrestrial ecosystem models due to the most optimized regression coefficient (63.2%). Soil respiration amounted to 57% of ecosystem respiration and played a major role in peatland carbon balance in our study. Emphasis on ecosystem respiration from temperate peatlands in the Sanjiang Plain will improve our basic understanding of carbon exchange between peatland ecosystem and the atmosphere.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2014.11.035","usgsCitation":"Zhu, X., Song, C., Swarzenski, C.M., Guo, Y., Zhang, X., and Wang, J., 2015, Ecosystem-atmosphere exchange of CO2 in a temperate herbaceous peatland in the Sanjiang Plain of northeast China: Ecological Engineering, v. 75, p. 16-23, https://doi.org/10.1016/j.ecoleng.2014.11.035.","productDescription":"8 p.","startPage":"16","endPage":"23","ipdsId":"IP-056585","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":331457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Sanjiang Plain","volume":"75","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58468aebe4b04fc80e5236cb","contributors":{"authors":[{"text":"Zhu, Xiaoyan","contributorId":177140,"corporation":false,"usgs":false,"family":"Zhu","given":"Xiaoyan","affiliations":[],"preferred":false,"id":654790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Song, Changchun","contributorId":177141,"corporation":false,"usgs":false,"family":"Song","given":"Changchun","email":"","affiliations":[],"preferred":false,"id":654791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swarzenski, Christopher M. 0000-0001-9843-1471 cswarzen@usgs.gov","orcid":"https://orcid.org/0000-0001-9843-1471","contributorId":656,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Christopher","email":"cswarzen@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guo, Yuedong","contributorId":177142,"corporation":false,"usgs":false,"family":"Guo","given":"Yuedong","email":"","affiliations":[],"preferred":false,"id":654792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Xinhow","contributorId":177143,"corporation":false,"usgs":false,"family":"Zhang","given":"Xinhow","email":"","affiliations":[],"preferred":false,"id":654793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Jiaoyue","contributorId":177144,"corporation":false,"usgs":false,"family":"Wang","given":"Jiaoyue","email":"","affiliations":[],"preferred":false,"id":654794,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176211,"text":"70176211 - 2015 - Microscopical characterization of carbon materials derived from coal and petroleum and their interaction phenomena in making steel electrodes, anodes and cathode blocks for the Microscopy of Carbon Materials Working Group of the ICCP","interactions":[],"lastModifiedDate":"2016-09-01T16:19:21","indexId":"70176211","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Microscopical characterization of carbon materials derived from coal and petroleum and their interaction phenomena in making steel electrodes, anodes and cathode blocks for the Microscopy of Carbon Materials Working Group of the ICCP","docAbstract":"This paper describes the evaluation of petrographic textures representing the structural organization of the organic matter derived from coal and petroleum and their interaction phenomena in the making of steel electrodes, anodes and cathode blocks.
This work represents the results of the Microscopy of Carbon Materials Working Group in Commission III of the International Committee for Coal and Organic Petrology between the years 2009 and 2013. The round robin exercises were run on photomicrograph samples. For textural characterization of carbon materials the existing ASTM classification system for metallurgical coke was applied.
These round robin exercises involved 15 active participants from 12 laboratories who were asked to assess the coal and petroleum based carbons and to identify the morphological differences, as optical texture (isotropic/anisotropic), optical type (punctiform, mosaic, fibre, ribbon, domain), and size. Four sets of digital black and white microphotographs comprising 151 photos containing 372 fields of different types of organic matter were examined. Based on the unique ability of carbon to form a wide range of textures, the results showed an increased number of carbon occurrences which have crucial role in the chosen industrial applications.
The statistical method used to evaluate the results was based on the “raw agreement indices”. It gave a new and original view on the analysts' opinion by not only counting the correct answers, but also all of the knowledge and experience of the participants. Comparative analyses of the average values of the level of overall agreement performed by each analyst in the exercises during 2009–2013 showed a great homogeneity in the results, the mean value being 90.36%, with a minimum value of 83% and a maximum value of 95%.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2014.07.011","usgsCitation":"Predeanu, G., Panaitescu, C., Bălănescu, M., Bieg, G., Borrego, A., Diez, M.A., Hackley, P.C., Kwiecinska, B., Marques, M., Mastalerz, M., Misz-Kennan, M., Pusz, S., Suarez-Ruiz, I., Rodrigues, S., Singh, A.K., Varma, A., Zdravkov, A., and Zivotić, D., 2015, Microscopical characterization of carbon materials derived from coal and petroleum and their interaction phenomena in making steel electrodes, anodes and cathode blocks for the Microscopy of Carbon Materials Working Group of the ICCP: International Journal of Coal Geology, v. 139, p. 63-79, https://doi.org/10.1016/j.coal.2014.07.011.","productDescription":"17 p.","startPage":"63","endPage":"79","ipdsId":"IP-055717","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":328204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"139","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c9512ee4b0f2f0cec15bf9","contributors":{"authors":[{"text":"Predeanu, G.","contributorId":174233,"corporation":false,"usgs":false,"family":"Predeanu","given":"G.","email":"","affiliations":[{"id":27394,"text":"University Politehnica Bucharest, Romania","active":true,"usgs":false}],"preferred":false,"id":647810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Panaitescu, C.","contributorId":174234,"corporation":false,"usgs":false,"family":"Panaitescu","given":"C.","email":"","affiliations":[{"id":27394,"text":"University Politehnica Bucharest, Romania","active":true,"usgs":false}],"preferred":false,"id":647811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bălănescu, M.","contributorId":174235,"corporation":false,"usgs":false,"family":"Bălănescu","given":"M.","affiliations":[{"id":27394,"text":"University Politehnica Bucharest, Romania","active":true,"usgs":false}],"preferred":false,"id":647812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bieg, G.","contributorId":174236,"corporation":false,"usgs":false,"family":"Bieg","given":"G.","email":"","affiliations":[{"id":27395,"text":"Mikroskopische Untersuchungen, Germany","active":true,"usgs":false}],"preferred":false,"id":647813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borrego, A.G.","contributorId":53583,"corporation":false,"usgs":true,"family":"Borrego","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":647814,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diez, M. 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The purpose of this study was to establish a flow cytometric technique for DNA analysis of fixed samples sent from the field to provide reliable gamete quality measurements. Similar to the sperm chromatin structure assay, measures were made on the susceptibility of nuclear DNA to acid-induced denaturation, but used fixed rather than live or thawed cells. Nuclei were best exposed to the acid treatment for 1 minute at 37 °C followed by the addition of cold (4 °C) propidium iodide staining solution before flow cytometry. The rationale for protocol development is presented graphically through cytograms. Field results collected in 2008 and 2009 revealed DNA fragmentation up to 14.5%. In 2008, DNA fragmentation from the more urbanized watersheds was significantly greater than from reference sites (P = 0.026) and in 2009, higher percentages of haploid testicular cells were noted from the less urbanized watersheds (P = 0.032) indicating better reproductive condition at sites with less urbanization. For both years, total and progressive live sperm motilities by computer-assisted sperm motion analysis ranged from 19.1% to 76.5%, being significantly higher at the less urbanized sites (P < 0.05). This flow cytometric method takes advantage of the propensity of fragmented DNA to be denatured under standard conditions, or 1 minute at 37 °C with 10% buffered formalin–fixed cells. The study of fixed sperm makes possible the restrospective investigation of germplasm fragmentation, spermatogenic ploidy patterns, and chromatin compaction levels from samples translocated over distance and time. The protocol provides an approach that can be modified for other species across taxa.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.theriogenology.2014.11.028","usgsCitation":"Jenkins, J.A., Draugelis-Dale, R.O., Pinkney, A.E., Iwanowicz, L., and Blazer, V., 2015, Flow cytometric method for measuring chromatin fragmentation in fixed sperm from yellow perch (Perca flavescens): Theriogenology, v. 83, no. 5, p. 920-931, https://doi.org/10.1016/j.theriogenology.2014.11.028.","productDescription":"12 p.","startPage":"920","endPage":"931","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048922","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":298064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"5","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e868bce4b02d776a67c5c6","contributors":{"authors":[{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":540913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Draugelis-Dale, Rassa O. 0000-0001-8532-3287 daler@usgs.gov","orcid":"https://orcid.org/0000-0001-8532-3287","contributorId":20422,"corporation":false,"usgs":true,"family":"Draugelis-Dale","given":"Rassa","email":"daler@usgs.gov","middleInitial":"O.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":540914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pinkney, Alfred E.","contributorId":14253,"corporation":false,"usgs":false,"family":"Pinkney","given":"Alfred","email":"","middleInitial":"E.","affiliations":[{"id":12750,"text":"U.S. Fish and Wildlife Service, Annapolis, MD","active":true,"usgs":false}],"preferred":false,"id":540915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iwanowicz, Luke R. liwanowicz@usgs.gov","contributorId":139215,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":540916,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":540917,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}