{"pageNumber":"1493","pageRowStart":"37300","pageSize":"25","recordCount":184617,"records":[{"id":70047014,"text":"70047014 - 2013 - Fire regimes of quaking aspen in the Mountain West","interactions":[],"lastModifiedDate":"2013-07-15T13:34:46","indexId":"70047014","displayToPublicDate":"2013-07-15T13:25:48","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Fire regimes of quaking aspen in the Mountain West","docAbstract":"Quaking aspen (Populus tremuloides Michx.) is the most widespread tree species in North America, and it is found throughout much of the Mountain West (MW) across a broad range of bioclimatic regions. Aspen typically regenerates asexually and prolifically after fire, and due to its seral status in many western conifer forests, aspen is often considered dependent upon disturbance for persistence. In many landscapes, historical evidence for post-fire aspen establishment is clear, and following extended fire-free periods senescing or declining aspen overstories sometimes lack adequate regeneration and are succeeding to conifers. However, aspen also forms relatively stable stands that contain little or no evidence of historical fire. In fact, aspen woodlands range from highly fire-dependent, seral communities to relatively stable, self-replacing, non-seral communities that do not require fire for persistence. Given the broad geographic distribution of aspen, fire regimes in these forests likely co-vary spatially with changing community composition, landscape setting, and climate, and temporally with land use and climate – but relatively few studies have explicitly focused on these important spatiotemporal variations. Here we reviewed the literature to summarize aspen fire regimes in the western US and highlight knowledge gaps. We found that only about one-fourth of the 46 research papers assessed for this review could be considered fire history studies (in which mean fire intervals were calculated), and all but one of these were based primarily on data from fire-scarred conifers. Nearly half of the studies reported at least some evidence of persistent aspen in the absence of fire. We also found that large portions of the MW have had little or no aspen fire history research. As a result of this review, we put forth a classification framework for aspen that is defined by key fire regime parameters (fire severity and probability), and that reflects underlying biophysical settings and correlated aspen functional types. We propose the following aspen fire regime types: (1) fire-independent, stable aspen; (2) fire-influenced, stable aspen; (3) fire-dependent, seral, conifer-aspen mix; (4) fire-dependent, seral, montane aspen-conifer; and (5) fire-dependent, seral, subalpine aspen-conifer. Closing research gaps and validating our proposed aspen fire regime classification will likely require additional site-specific research, enhanced dendrochronology techniques, charcoal and pollen record analysis, spatially-explicit modeling, and other techniques. We hope to encourage development of site-appropriate disturbance ecology characterizations, in order to aid efforts to manage and restore aspen communities and to diagnose key factors contributing to changes in aspen.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2012.11.032","usgsCitation":"Shinneman, D., Baker, W.L., Rogers, P., and Kulakowski, D., 2013, Fire regimes of quaking aspen in the Mountain West: Forest Ecology and Management, v. 299, p. 22-34, https://doi.org/10.1016/j.foreco.2012.11.032.","productDescription":"13 p.","startPage":"22","endPage":"34","ipdsId":"IP-042218","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":274988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274950,"type":{"id":15,"text":"Index Page"},"url":"https://ac.els-cdn.com/S0378112712007086/1-s2.0-S0378112712007086-main.pdf?_tid=e51f440c-eb1c-11e2-9774-00000aacb360&acdnat=1373652191_11d3c5c269906eaf67a6f66c6772b081"},{"id":274984,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2012.11.032"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.01,31.33 ], [ -120.01,49.0 ], [ -102.0409,49.0 ], [ -102.0409,31.33 ], [ -120.01,31.33 ] ] ] } } ] }","volume":"299","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e50bd9e4b069f8d27cca7b","chorus":{"doi":"10.1016/j.foreco.2012.11.032","url":"http://dx.doi.org/10.1016/j.foreco.2012.11.032","publisher":"Elsevier BV","authors":"Shinneman Douglas J., Baker William L., Rogers Paul C., Kulakowski Dominik","journalName":"Forest Ecology and Management","publicationDate":"7/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Shinneman, Douglas J.","contributorId":70195,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas J.","affiliations":[],"preferred":false,"id":480858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, William L.","contributorId":30101,"corporation":false,"usgs":true,"family":"Baker","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogers, Paul C.","contributorId":38452,"corporation":false,"usgs":true,"family":"Rogers","given":"Paul C.","affiliations":[],"preferred":false,"id":480856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulakowski, Dominik","contributorId":38453,"corporation":false,"usgs":true,"family":"Kulakowski","given":"Dominik","email":"","affiliations":[],"preferred":false,"id":480857,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047029,"text":"fs20133029 - 2013 - Water resources of Claiborne Parish, Louisiana","interactions":[],"lastModifiedDate":"2013-07-15T13:33:05","indexId":"fs20133029","displayToPublicDate":"2013-07-15T13:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3029","title":"Water resources of Claiborne Parish, Louisiana","docAbstract":"This fact sheet summarizes basic information on the water resources of Claiborne Parish. Information on groundwater and surface-water availability, quality, development, use, and trends is based on previously published reports listed in the Cited References section. In 2010, about 2.60 million gallons per day (Mgal/d) of water were withdrawn in Claiborne Parish, Louisiana, including about 2.42 Mgal/d from groundwater sources and 0.18 Mgal/d from surface-water sources. Public-supply use accounted for about 84 percent of the total water withdrawn. Other categories of use included industrial, rural domestic, livestock, and general irrigation. Water-use data collected at 5-year intervals from 1960 to 2010 indicated that total water withdrawals in the parish have ranged from about 2.6 to 3.9 Mgal/d.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133029","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Fendick, R., Prakken, L., and Griffith, J.M., 2013, Water resources of Claiborne Parish, Louisiana: U.S. Geological Survey Fact Sheet 2013-3029, 6 p., https://doi.org/10.3133/fs20133029.","productDescription":"6 p.","numberOfPages":"6","additionalOnlineFiles":"N","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":274987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133029.gif"},{"id":274985,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3029/"},{"id":274986,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3029/FS2013-3029_Claiborne.pdf"}],"projection":"Universal Transverse Mercator, zone 15","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","county":"Claiborne Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.3653,32.2196 ], [ -93.3653,33.4996 ], [ -92.0853,33.4996 ], [ -92.0853,32.2196 ], [ -93.3653,32.2196 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e50bdae4b069f8d27cca7f","contributors":{"authors":[{"text":"Fendick, Robert B. Jr. rfendick@usgs.gov","contributorId":1313,"corporation":false,"usgs":true,"family":"Fendick","given":"Robert B.","suffix":"Jr.","email":"rfendick@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prakken, Lawrence B.","contributorId":73978,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","affiliations":[],"preferred":false,"id":480898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffith, Jason M. 0000-0002-8942-0380 jmgriff@usgs.gov","orcid":"https://orcid.org/0000-0002-8942-0380","contributorId":2923,"corporation":false,"usgs":true,"family":"Griffith","given":"Jason","email":"jmgriff@usgs.gov","middleInitial":"M.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480897,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046976,"text":"70046976 - 2013 - Experimental infection studies demonstrating Atlantic salmon as a host and reservoir of viral hemorrhagic septicemia virus type IVa with insights into pathology and host immunity","interactions":[],"lastModifiedDate":"2013-07-29T09:47:27","indexId":"70046976","displayToPublicDate":"2013-07-15T12:44:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3685,"text":"Veterinary Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Experimental infection studies demonstrating Atlantic salmon as a host and reservoir of viral hemorrhagic septicemia virus type IVa with insights into pathology and host immunity","docAbstract":"In British Columbia, Canada (BC), aquaculture of finfish in ocean netpens has the potential for pathogen transmission between wild and farmed species due to the sharing of an aquatic environment. Viral hemorrhagic septicemia virus (VHSV) is enzootic in BC and causes serious disease in wild Pacific herring, Clupea pallasii, which often enter and remain in Atlantic salmon, Salmo salar, netpens. Isolation of VHSV from farmed Atlantic salmon has been previously documented, but the effects on the health of farmed salmon and the wild fish sharing the environment are unknown. To determine their susceptibility, Atlantic salmon were exposed to a pool of 9 isolates of VHSV obtained from farmed Atlantic salmon in BC by IP-injection or by waterborne exposure and cohabitation with diseased Pacific herring. Disease intensity was quantified by recording mortality, clinical signs, histopathological changes, cellular sites of viral replication, expression of interferon-related genes, and viral tissue titers. Disease ensued in Atlantic salmon after both VHSV exposure methods. Fish demonstrated gross disease signs including darkening of the dorsal skin, bilateral exophthalmia, light cutaneous hemorrhage, and lethargy. The virus replicated within endothelial cells causing endothelial cell necrosis and extensive hemorrhage in anterior kidney. Infected fish demonstrated a type I interferon response as seen by up-regulation of genes for IFNα, Mx, and ISG15. In a separate trial infected salmon transmitted the virus to sympatric Pacific herring. The results demonstrate that farmed Atlantic salmon can develop clinical VHS and virus can persist in the tissues for at least 10 weeks. Avoiding VHS epizootics in Atlantic salmon farms would limit the potential of VHS in farmed Atlantic salmon, the possibility for further host adaptation in this species, and virus spillback to sympatric wild fishes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Veterinary Microbiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.vetmic.2013.05.019","usgsCitation":"Lovy, J., Piesik, P., Hershberger, P., and Garver, K., 2013, Experimental infection studies demonstrating Atlantic salmon as a host and reservoir of viral hemorrhagic septicemia virus type IVa with insights into pathology and host immunity: Veterinary Microbiology, v. 166, no. 1-2, p. 91-101, https://doi.org/10.1016/j.vetmic.2013.05.019.","productDescription":"11 p.","startPage":"91","endPage":"101","ipdsId":"IP-044808","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":274981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274875,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.vetmic.2013.05.019"}],"volume":"166","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e50bd9e4b069f8d27cca77","contributors":{"authors":[{"text":"Lovy, Jan","contributorId":14708,"corporation":false,"usgs":false,"family":"Lovy","given":"Jan","affiliations":[],"preferred":false,"id":480778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piesik, P.","contributorId":82604,"corporation":false,"usgs":true,"family":"Piesik","given":"P.","email":"","affiliations":[],"preferred":false,"id":480781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hershberger, P.K. 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":58818,"corporation":false,"usgs":true,"family":"Hershberger","given":"P.K.","affiliations":[],"preferred":false,"id":480780,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garver, K.A.","contributorId":42766,"corporation":false,"usgs":true,"family":"Garver","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":480779,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046825,"text":"70046825 - 2013 - Evolution of dike opening during the March 2011 Kamoamoa fissure eruption, Kīlauea Volcano, Hawai`i","interactions":[],"lastModifiedDate":"2018-10-30T09:10:46","indexId":"70046825","displayToPublicDate":"2013-07-15T12:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of dike opening during the March 2011 Kamoamoa fissure eruption, Kīlauea Volcano, Hawai`i","docAbstract":"<p><span>The 5–9 March 2011 Kamoamoa fissure eruption along the east rift zone of Kīlauea Volcano, Hawai`i, followed months of pronounced inflation at Kīlauea summit. We examine dike opening during and after the eruption using a comprehensive interferometric synthetic aperture radar (InSAR) data set in combination with continuous GPS data. We solve for distributed dike displacements using a whole Kīlauea model with dilating rift zones and possibly a deep décollement. Modeled surface dike opening increased from nearly 1.5 m to over 2.8 m from the first day to the end of the eruption, in agreement with field observations of surface fracturing. Surface dike opening ceased following the eruption, but subsurface opening in the dike continued into May 2011. Dike volumes increased from 15, to 16, to 21 million cubic meters (MCM) after the first day, eruption end, and 2 months following, respectively. Dike shape is distinctive, with a main limb plunging from the surface to 2–3 km depth in the up‐rift direction toward Kīlauea's summit, and a lesser projection extending in the down‐rift direction toward Pu`u `Ō`ō at 2 km depth. Volume losses beneath Kīlauea summit (1.7 MCM) and Pu`u `Ō`ō (5.6 MCM) crater, relative to dike plus erupted volume (18.3 MCM), yield a dike to source volume ratio of 2.5 that is in the range expected for compressible magma without requiring additional sources. Inflation of Kīlauea's summit in the months before the March 2011 eruption suggests that the Kamoamoa eruption resulted from overpressure of the volcano's magmatic system.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1002/jgrb.50108","usgsCitation":"Lundgren, P., Poland, M.P., Miklius, A., Orr, T., Yun, S., Fielding, E., Liu, Z., Tanaka, A., Szeliga, W., Hensley, S., and Owen, S., 2013, Evolution of dike opening during the March 2011 Kamoamoa fissure eruption, Kīlauea Volcano, Hawai`i: Journal of Geophysical Research B: Solid Earth, v. 118, no. 3, p. 897-914, https://doi.org/10.1002/jgrb.50108.","productDescription":"18 p.","startPage":"897","endPage":"914","ipdsId":"IP-042091","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50108","text":"Publisher Index Page"},{"id":274980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274979,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50108"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.798371,19.05835 ], [ -155.798371,19.54759 ], [ -155.016307,19.54759 ], [ -155.016307,19.05835 ], [ -155.798371,19.05835 ] ] ] } } ] }","volume":"118","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-27","publicationStatus":"PW","scienceBaseUri":"51e50bd9e4b069f8d27cca73","contributors":{"authors":[{"text":"Lundgren, Paul","contributorId":34806,"corporation":false,"usgs":true,"family":"Lundgren","given":"Paul","affiliations":[],"preferred":false,"id":480376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":480377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miklius, Asta 0000-0002-2286-1886 asta@usgs.gov","orcid":"https://orcid.org/0000-0002-2286-1886","contributorId":2060,"corporation":false,"usgs":true,"family":"Miklius","given":"Asta","email":"asta@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":480372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orr, Tim R. torr@usgs.gov","contributorId":3766,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","email":"torr@usgs.gov","affiliations":[],"preferred":false,"id":480373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yun, Sang-Ho","contributorId":102772,"corporation":false,"usgs":true,"family":"Yun","given":"Sang-Ho","email":"","affiliations":[],"preferred":false,"id":480382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fielding, Eric","contributorId":50434,"corporation":false,"usgs":true,"family":"Fielding","given":"Eric","affiliations":[],"preferred":false,"id":480379,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Zhen","contributorId":57750,"corporation":false,"usgs":true,"family":"Liu","given":"Zhen","email":"","affiliations":[],"preferred":false,"id":480380,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tanaka, Akiko","contributorId":30121,"corporation":false,"usgs":true,"family":"Tanaka","given":"Akiko","email":"","affiliations":[],"preferred":false,"id":480375,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Szeliga, Walter","contributorId":50021,"corporation":false,"usgs":true,"family":"Szeliga","given":"Walter","email":"","affiliations":[],"preferred":false,"id":480378,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hensley, Scott","contributorId":85313,"corporation":false,"usgs":true,"family":"Hensley","given":"Scott","email":"","affiliations":[],"preferred":false,"id":480381,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Owen, Susan","contributorId":29004,"corporation":false,"usgs":true,"family":"Owen","given":"Susan","affiliations":[],"preferred":false,"id":480374,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70046977,"text":"70046977 - 2013 - Estimating occupancy and abundance of stream amphibians using environmental DNA from filtered water samples","interactions":[],"lastModifiedDate":"2013-08-12T09:38:05","indexId":"70046977","displayToPublicDate":"2013-07-15T11:28:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Estimating occupancy and abundance of stream amphibians using environmental DNA from filtered water samples","docAbstract":"Environmental DNA (eDNA) methods for detecting aquatic species are advancing rapidly, but with little evaluation of field protocols or precision of resulting estimates. We compared sampling results from traditional field methods with eDNA methods for two amphibians in 13 streams in central Idaho, USA. We also evaluated three water collection protocols and the influence of sampling location, time of day, and distance from animals on eDNA concentration in the water. We found no difference in detection or amount of eDNA among water collection protocols. eDNA methods had slightly higher detection rates than traditional field methods, particularly when species occurred at low densities. eDNA concentration was positively related to field-measured density, biomass, and proportion of transects occupied. Precision of eDNA-based abundance estimates increased with the amount of eDNA in the water and the number of replicate subsamples collected. eDNA concentration did not vary significantly with sample location in the stream, time of day, or distance downstream from animals. Our results further advance the implementation of eDNA methods for monitoring aquatic vertebrates in stream habitats.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2013-0047","usgsCitation":"Pilliod, D., Goldberg, C.S., Arkle, R., and Waits, L.P., 2013, Estimating occupancy and abundance of stream amphibians using environmental DNA from filtered water samples: Canadian Journal of Fisheries and Aquatic Sciences, v. 70, no. 8, p. 1123-1130, https://doi.org/10.1139/cjfas-2013-0047.","productDescription":"8 p.","startPage":"1123","endPage":"1130","ipdsId":"IP-045459","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":274976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274876,"type":{"id":15,"text":"Index Page"},"url":"https://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2013-0047"},{"id":274975,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjfas-2013-0047"}],"volume":"70","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e50bd8e4b069f8d27cca6b","contributors":{"authors":[{"text":"Pilliod, David S.","contributorId":101760,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[],"preferred":false,"id":480785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldberg, Caren S.","contributorId":76879,"corporation":false,"usgs":false,"family":"Goldberg","given":"Caren","email":"","middleInitial":"S.","affiliations":[{"id":5132,"text":"Washington State University, Pullman","active":true,"usgs":false}],"preferred":false,"id":480783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arkle, Robert S.","contributorId":55679,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert S.","affiliations":[],"preferred":false,"id":480782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waits, Lisette P.","contributorId":87673,"corporation":false,"usgs":true,"family":"Waits","given":"Lisette","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":480784,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046879,"text":"70046879 - 2013 - Estimating raptor nesting success: old and new approaches","interactions":[],"lastModifiedDate":"2013-07-15T11:21:18","indexId":"70046879","displayToPublicDate":"2013-07-15T11:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating raptor nesting success: old and new approaches","docAbstract":"Studies of nesting success can be valuable in assessing the status of raptor populations, but differing monitoring protocols can present unique challenges when comparing populations of different species across time or geographic areas. We used large datasets from long-term studies of 3 raptor species to compare estimates of apparent nest success (ANS, the ratio of successful to total number of nesting attempts), Mayfield nesting success, and the logistic-exposure model of nest survival. Golden eagles (Aquila chrysaetos), prairie falcons (Falco mexicanus), and American kestrels (F. sparverius) differ in their breeding biology and the methods often used to monitor their reproduction. Mayfield and logistic-exposure models generated similar estimates of nesting success with similar levels of precision. Apparent nest success overestimated nesting success and was particularly sensitive to inclusion of nesting attempts discovered late in the nesting season. Thus, the ANS estimator is inappropriate when exact point estimates are required, especially when most raptor pairs cannot be located before or soon after laying eggs. However, ANS may be sufficient to assess long-term trends of species in which nesting attempts are highly detectable.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.566","usgsCitation":"Brown, J.L., Steenhof, K., Kochert, M.N., and Bond, L., 2013, Estimating raptor nesting success: old and new approaches: Journal of Wildlife Management, v. 77, no. 5, p. 1067-1074, https://doi.org/10.1002/jwmg.566.","productDescription":"8 p.","startPage":"1067","endPage":"1074","ipdsId":"IP-016369","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473687,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/jwmg.566","text":"External Repository"},{"id":274974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274710,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.566"}],"volume":"77","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-06-11","publicationStatus":"PW","scienceBaseUri":"51e50bd9e4b069f8d27cca6f","contributors":{"authors":[{"text":"Brown, Jessi L.","contributorId":44817,"corporation":false,"usgs":false,"family":"Brown","given":"Jessi","email":"","middleInitial":"L.","affiliations":[{"id":13184,"text":"Program in Ecology, Evolution and Conservation Biology, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":480552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steenhof, Karen karen_steenhof@usgs.gov","contributorId":30585,"corporation":false,"usgs":true,"family":"Steenhof","given":"Karen","email":"karen_steenhof@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":480551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":480550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bond, Laura","contributorId":89103,"corporation":false,"usgs":true,"family":"Bond","given":"Laura","affiliations":[],"preferred":false,"id":480553,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046958,"text":"70046958 - 2013 - Environmental management of mosquito-borne viruses in Rhode Island","interactions":[],"lastModifiedDate":"2016-08-19T16:57:18","indexId":"70046958","displayToPublicDate":"2013-07-15T10:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3295,"text":"Rhode Island Medical Journal","active":true,"publicationSubtype":{"id":10}},"title":"Environmental management of mosquito-borne viruses in Rhode Island","docAbstract":"<p>West Nile Virus (WNV) and Eastern Equine Encephalitis Virus (EEEV) are both primarily bird viruses, which can be transmitted by several mosquito species. Differences in larval habitats, flight, and biting patterns of the primary vector species result in substantial differences in epidemiology, with WNV more common, primarily occurring in urban areas, and EEEV relatively rare, typically occurring near swamp habitats. 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,{"id":70047009,"text":"70047009 - 2013 - Conditions favouring Bromus tectorum dominance of endangered sagebrush steppe ecosystems","interactions":[],"lastModifiedDate":"2017-11-20T16:42:56","indexId":"70047009","displayToPublicDate":"2013-07-15T10:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Conditions favouring Bromus tectorum dominance of endangered sagebrush steppe ecosystems","docAbstract":"1. Ecosystem invasibility is determined by combinations of environmental variables, invader attributes, disturbance regimes, competitive abilities of resident species and evolutionary history between residents and disturbance regimes. Understanding the relative importance of each factor is critical to limiting future invasions and restoring ecosystems.\n2. We investigated factors potentially controlling Bromus tectorum invasions into Artemisia tridentata ssp. wyomingensis communities across 75 sites in the Great Basin. We measured soil texture, cattle grazing intensity, gaps among perennial plants and plant cover including B. tectorum, biological soil crusts (BSCs) and bare soil. Using a priori knowledge, we developed a multivariate hypothesis of the susceptibility of Artemisia ecosystems to B. tectorum invasion and used the model to assess the relative importance of the factors driving the magnitude of such invasions.\n3. Model results imply that bunchgrass community structure, abundance and composition, along with BSC cover, play important roles in controlling B. tectorum dominance. Evidence suggests abundant bunchgrasses limit invasions by limiting the size and connectivity of gaps between vegetation, and BSCs appear to limit invasions within gaps. Results also suggest that cattle grazing reduces invasion resistance by decreasing bunchgrass abundance, shifting bunchgrass composition, and thereby increasing connectivity of gaps between perennial plants while trampling further reduces resistance by reducing BSC.\n4. Synthesis and applications. Grazing exacerbates Bromus tectorum dominance in one of North America's most endangered ecosystems by adversely impacting key mechanisms mediating resistance to invasion. If the goal is to conserve and restore resistance of these systems, managers should consider maintaining or restoring: (i) high bunchgrass cover and structure characterized by spatially dispersed bunchgrasses and small gaps between them; (ii) a diverse assemblage of bunchgrass species to maximize competitive interactions with B. tectorum in time and space; and (iii) biological soil crusts to limit B. tectorum establishment. Passive restoration by reducing cumulative cattle grazing may be one of the most effective means of achieving these three goals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12097","usgsCitation":"Reisner, M.D., Grace, J.B., Pyke, D.A., and Doescher, P.S., 2013, Conditions favouring Bromus tectorum dominance of endangered sagebrush steppe ecosystems: Journal of Applied Ecology, v. 50, no. 4, p. 1039-1049, https://doi.org/10.1111/1365-2664.12097.","productDescription":"11 p.","startPage":"1039","endPage":"1049","ipdsId":"IP-043516","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":473689,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12097","text":"Publisher Index Page"},{"id":274968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274930,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/1365-2664.12097/pdf"},{"id":274967,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1365-2664.12097"}],"volume":"50","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-05-13","publicationStatus":"PW","scienceBaseUri":"51e50bcfe4b069f8d27cca63","contributors":{"authors":[{"text":"Reisner, Michael D.","contributorId":96178,"corporation":false,"usgs":true,"family":"Reisner","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":480851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":480848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":480849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doescher, Paul S.","contributorId":11867,"corporation":false,"usgs":true,"family":"Doescher","given":"Paul","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":480850,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047489,"text":"70047489 - 2013 - Spatially explicit models for inference about density in unmarked or partially marked populations","interactions":[],"lastModifiedDate":"2013-08-08T08:00:15","indexId":"70047489","displayToPublicDate":"2013-07-15T07:54:57","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":787,"text":"Annals of Applied Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit models for inference about density in unmarked or partially marked populations","docAbstract":"Recently developed spatial capture–recapture (SCR) models represent a major advance over traditional capture–recapture (CR) models because they yield explicit estimates of animal density instead of population size within an unknown area. Furthermore, unlike nonspatial CR methods, SCR models account for heterogeneity in capture probability arising from the juxtaposition of animal activity centers and sample locations. Although the utility of SCR methods is gaining recognition, the requirement that all individuals can be uniquely identified excludes their use in many contexts. In this paper, we develop models for situations in which individual recognition is not possible, thereby allowing SCR concepts to be applied in studies of unmarked or partially marked populations. The data required for our model are spatially referenced counts made on one or more sample occasions at a collection of closely spaced sample units such that individuals can be encountered at multiple locations. Our approach includes a spatial point process for the animal activity centers and uses the spatial correlation in counts as information about the number and location of the activity centers. Camera-traps, hair snares, track plates, sound recordings, and even point counts can yield spatially correlated count data, and thus our model is widely applicable. A simulation study demonstrated that while the posterior mean exhibits frequentist bias on the order of 5–10% in small samples, the posterior mode is an accurate point estimator as long as adequate spatial correlation is present. Marking a subset of the population substantially increases posterior precision and is recommended whenever possible. We applied our model to avian point count data collected on an unmarked population of the northern parula (Parula americana) and obtained a density estimate (posterior mode) of 0.38 (95% CI: 0.19–1.64) birds/ha. Our paper challenges sampling and analytical conventions in ecology by demonstrating that neither spatial independence nor individual recognition is needed to estimate population density—rather, spatial dependence can be informative about individual distribution and density.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Annals of Applied Statistics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Mathematical Statistics","doi":"10.1214/12-AOAS610","usgsCitation":"Chandler, R.B., and Royle, J., 2013, Spatially explicit models for inference about density in unmarked or partially marked populations: Annals of Applied Statistics, v. 7, no. 2, p. 936-954, https://doi.org/10.1214/12-AOAS610.","productDescription":"19 p.","startPage":"936","endPage":"954","ipdsId":"IP-041849","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473690,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://arxiv.org/abs/1112.3250","text":"Publisher Index Page"},{"id":276189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276184,"type":{"id":15,"text":"Index Page"},"url":"https://projecteuclid.org/euclid.aoas/1372338474"},{"id":276183,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1214/12-AOAS610"}],"volume":"7","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a37de4b02bdb1bc63fe4","contributors":{"authors":[{"text":"Chandler, Richard B. rchandler@usgs.gov","contributorId":63524,"corporation":false,"usgs":true,"family":"Chandler","given":"Richard","email":"rchandler@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":482175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":482176,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046856,"text":"70046856 - 2013 - Integrating resource selection information with spatial capture--recapture","interactions":[],"lastModifiedDate":"2013-07-17T12:46:19","indexId":"70046856","displayToPublicDate":"2013-07-13T12:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Integrating resource selection information with spatial capture--recapture","docAbstract":"1. Understanding space usage and resource selection is a primary focus of many studies of animal populations. Usually, such studies are based on location data obtained from telemetry, and resource selection functions (RSFs) are used for inference. Another important focus of wildlife research is estimation and modeling population size and density. Recently developed spatial capture–recapture (SCR) models accomplish this objective using individual encounter history data with auxiliary spatial information on location of capture. SCR models include encounter probability functions that are intuitively related to RSFs, but to date, no one has extended SCR models to allow for explicit inference about space usage and resource selection.\n2. In this paper we develop the first statistical framework for jointly modeling space usage, resource selection, and population density by integrating SCR data, such as from camera traps, mist-nets, or conventional catch traps, with resource selection data from telemetered individuals. We provide a framework for estimation based on marginal likelihood, wherein we estimate simultaneously the parameters of the SCR and RSF models.\n3. Our method leads to increases in precision for estimating parameters of ordinary SCR models. Importantly, we also find that SCR models alone can estimate parameters of RSFs and, as such, SCR methods can be used as the sole source for studying space-usage; however, precision will be higher when telemetry data are available.\n4. Finally, we find that SCR models using standard symmetric and stationary encounter probability models may not fully explain variation in encounter probability due to space usage, and therefore produce biased estimates of density when animal space usage is related to resource selection. Consequently, it is important that space usage be taken into consideration, if possible, in studies focused on estimating density using capture–recapture methods.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.12039","usgsCitation":"Royle, J., Chandler, R.B., Sun, C.C., and Fuller, A.K., 2013, Integrating resource selection information with spatial capture--recapture: Methods in Ecology and Evolution, v. 4, no. 6, p. 520-530, https://doi.org/10.1111/2041-210X.12039.","productDescription":"11 p.","startPage":"520","endPage":"530","ipdsId":"IP-042739","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473691,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://arxiv.org/abs/1207.3288","text":"Publisher Index Page"},{"id":275116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274698,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12039/abstract"},{"id":275115,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/2041-210X.12039"}],"volume":"4","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-03-07","publicationStatus":"PW","scienceBaseUri":"51e7bce1e4b080b82b09c639","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":480476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandler, Richard B. rchandler@usgs.gov","contributorId":63524,"corporation":false,"usgs":true,"family":"Chandler","given":"Richard","email":"rchandler@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":480474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sun, Catherine C.","contributorId":70274,"corporation":false,"usgs":false,"family":"Sun","given":"Catherine","email":"","middleInitial":"C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":480475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":480473,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046543,"text":"70046543 - 2013 - Mineral resource of the month: bismuth","interactions":[],"lastModifiedDate":"2013-07-12T14:32:40","indexId":"70046543","displayToPublicDate":"2013-07-12T14:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: bismuth","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Carlin, J.F., 2013, Mineral resource of the month: bismuth: Earth, v. 58, no. 7, p. 59-59.","productDescription":"1 p.","startPage":"59","endPage":"59","ipdsId":"IP-045122","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11765e4b02f5cae2b7324","contributors":{"authors":[{"text":"Carlin, James F. Jr. jcarlin@usgs.gov","contributorId":2685,"corporation":false,"usgs":true,"family":"Carlin","given":"James","suffix":"Jr.","email":"jcarlin@usgs.gov","middleInitial":"F.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":479785,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046542,"text":"70046542 - 2013 - Zirconium","interactions":[],"lastModifiedDate":"2013-07-12T14:27:09","indexId":"70046542","displayToPublicDate":"2013-07-12T14:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Zirconium","docAbstract":"Zirconium is the 20th most abundant element in the Earth’s crust. It occurs in a variety of rock types and geologic environments but most often in igneous rocks in the form of zircon (ZrSiO<sub>4</sub>). Zircon is recovered as a coproduct of the mining and processing of heavy mineral sands for the titanium minerals ilmenite and rutile. The sands are formed by the weathering and erosion of rock containing zircon and titanium heavy minerals and their subsequent concentration in sedimentary systems, particularly in coastal environments. A small quantity of zirconium, less than 10 kt/a (11,000 stpy), compared with total world production of 1.4 Mt (1.5 million st) in 2012, was derived from the mineral baddeleyite (ZrO<sub>2</sub>), produced from a single source in Kovdor, Russia.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Bedinger, G.M., 2013, Zirconium: Mining Engineering, v. 2013, no. July, p. 101-102.","productDescription":"2 p.","startPage":"101","endPage":"102","ipdsId":"IP-045326","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"July","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e1176be4b02f5cae2b7358","contributors":{"authors":[{"text":"Bedinger, G. M.","contributorId":52587,"corporation":false,"usgs":true,"family":"Bedinger","given":"G.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479784,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047016,"text":"70047016 - 2013 - Titanium","interactions":[],"lastModifiedDate":"2013-07-12T14:23:46","indexId":"70047016","displayToPublicDate":"2013-07-12T14:21:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Titanium","docAbstract":"Titanium is the ninth most abundant element in the earth’s crust and can be found in nearly all rocks and sediments. It is a lithophile element with a strong affinity for oxygen and is not found as a pure metal in nature. Titanium was first isolated as a pure metal in 1910, but it was not until 1948 that metal was produced commercially using the Kroll process (named after its developer, William Kroll) to reduce titanium tetrachloride with magnesium to produce titanium metal.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Bedinger, G.M., 2013, Titanium: Mining Engineering, v. 2013, no. July, p. 92-95.","productDescription":"4 p.","startPage":"92","endPage":"95","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"July","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e1176ae4b02f5cae2b7350","contributors":{"authors":[{"text":"Bedinger, G. M.","contributorId":52587,"corporation":false,"usgs":true,"family":"Bedinger","given":"G.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480860,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047015,"text":"70047015 - 2013 - Strontium","interactions":[],"lastModifiedDate":"2013-07-12T14:19:19","indexId":"70047015","displayToPublicDate":"2013-07-12T14:18:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Strontium","docAbstract":"In 2012, U.S. apparent consumption of strontium (contained in celestite and manufactured strontium compounds) decreased to 16.7 kt (18,400 st) from 17.3 kt (19,100 st) in 2011. Gross weight of imports was 34.3 kt (37,800 st), 86 percent of which originated in Mexico.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Ober, J., 2013, Strontium: Mining Engineering, v. 2013, no. July, p. 86-86.","productDescription":"1 p.","startPage":"86","endPage":"86","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"July","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11769e4b02f5cae2b7348","contributors":{"authors":[{"text":"Ober, J.A.","contributorId":76351,"corporation":false,"usgs":true,"family":"Ober","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":480859,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046547,"text":"70046547 - 2013 - Rare earths","interactions":[],"lastModifiedDate":"2013-07-17T10:11:08","indexId":"70046547","displayToPublicDate":"2013-07-12T14:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Rare earths","docAbstract":"Global mine production of rare earths was estimated to have declined slightly in 2012 relative to 2011 (Fig. 1). Production in China was estimated to have decreased to 95 from 105 kt (104,700 from 115,700 st) in 2011, while new mine production in the United States and Australia increased.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Gambogi, J., 2013, Rare earths: Mining Engineering, v. 2013, no. July, p. 78-81.","productDescription":"4 p.","startPage":"78","endPage":"81","ipdsId":"IP-045573","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"July","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11768e4b02f5cae2b7340","contributors":{"authors":[{"text":"Gambogi, J.","contributorId":89790,"corporation":false,"usgs":true,"family":"Gambogi","given":"J.","affiliations":[],"preferred":false,"id":479788,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046555,"text":"70046555 - 2013 - Pumice and pumicite","interactions":[],"lastModifiedDate":"2013-07-17T10:12:33","indexId":"70046555","displayToPublicDate":"2013-07-12T14:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Pumice and pumicite","docAbstract":"Production of pumice in the United States during 2012 was estimated to be 515 kt (568,000 st), a 5-percent increase compared to 2011. The unit value of pumice varied widely by end use in 2012. Pumice used as an abrasive was priced at $10.30/t ($9.34/st), while specialty-grade pumice, used in cosmetics, filtration or precision grinding, could be priced as high as $400/t ($360/st) on a spot basis. Eleven companies operated 11 mines in Arizona, California, Idaho, Kansas, New Mexico and Oregon. U.S. pumice exports totaled about 12.5 kt (13,800 st). Imports were higher at 75.1 kt (828,000 st).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Crangle, R., 2013, Pumice and pumicite: Mining Engineering, v. 2013, no. July, p. 77-78.","productDescription":"2 p.","startPage":"77","endPage":"78","ipdsId":"IP-044547","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"July","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11768e4b02f5cae2b733c","contributors":{"authors":[{"text":"Crangle, R.D. Jr.","contributorId":88241,"corporation":false,"usgs":true,"family":"Crangle","given":"R.D.","suffix":"Jr.","affiliations":[],"preferred":false,"id":479797,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046544,"text":"70046544 - 2013 - Potash","interactions":[],"lastModifiedDate":"2013-07-12T14:11:45","indexId":"70046544","displayToPublicDate":"2013-07-12T14:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Potash","docAbstract":"In 2012, world potash production, consumption and sales decreased from 2011. High inventories of potash, primarily in China and India, forced major producers to reduce output in 2012. U.S. production was estimated to have decreased to 900 kt (990,000 st) potassium oxide (K<sub>2</sub>O) in 2012 from 1 Mt (1.1 million st) K<sub>2</sub>O in 2011. World production was estimated to have decreased to 34 Mt (37 million st) K<sub>2</sub>O in 2012 from 36.4 Mt (40 million st) K<sub>2</sub>O in 2011. Canada continued to lead the world in potash production. Russia, Belarus and Germany were other leading producers, by order of output. The U.S. ranked eighth in world production.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Jasinski, S., 2013, Potash: Mining Engineering, v. 2013, no. July, p. 76-77.","productDescription":"2 p.","startPage":"76","endPage":"77","ipdsId":"IP-044794","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"July","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11767e4b02f5cae2b7338","contributors":{"authors":[{"text":"Jasinski, S.M.","contributorId":107085,"corporation":false,"usgs":true,"family":"Jasinski","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":479786,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046540,"text":"70046540 - 2013 - Perlite","interactions":[],"lastModifiedDate":"2013-07-12T14:06:46","indexId":"70046540","displayToPublicDate":"2013-07-12T14:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Perlite","docAbstract":"Domestic production and prices of crude processed perlite in the United States were estimated to have increased in 2012 compared with 2011. Perlite trade, both imports and exports, slowed in 2012 compared with 2011. With imports of perlite down by about 13 percent and domestic production up slightly, the balance resulted in a consumption decrease of about 20 kt (22,000 st). The estimated amount of processed perlite sold or used from U.S. mines in 2012 rose to 424 kt (467,000 st) from the upwardly revised total of 420 kt (463,000 st) sold or used in 2011. U.S. consumption of crude processed perlite increased in 2010 and 2011, but 2012 consumption was estimated to have decreased by about 3 percent to 557 kt (614,000 st). However, these 2012 estimates are still 19 percent higher than the consumption of 2009, when only 468 kt (516,000 st) of perlite was consumed (Table 1). Significantly increased U.S. construction activity during late 2012 likely indicates increased consumption of building materials, the leading market for perlite.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Bolen, W., 2013, Perlite: Mining Engineering, v. 2013, no. July, p. 72-73.","productDescription":"2 p.","startPage":"72","endPage":"73","ipdsId":"IP-044776","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"July","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11766e4b02f5cae2b7334","contributors":{"authors":[{"text":"Bolen, W.P.","contributorId":46394,"corporation":false,"usgs":true,"family":"Bolen","given":"W.P.","email":"","affiliations":[],"preferred":false,"id":479783,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046554,"text":"70046554 - 2013 - Peat","interactions":[],"lastModifiedDate":"2013-07-12T14:03:27","indexId":"70046554","displayToPublicDate":"2013-07-12T14:01:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Peat","docAbstract":"In 2012, domestic production of peat, excluding Alaska, was estimated to be 560 kt (617,000 st), compared with 568 kt (626,000 st) in 2011. In 2012, imports decreased to 940 kt (1 million st) compared with 982 kt (1.1 million st) in 2011, and exports were estimated to have increased to 75 kt (82,600 st) in 2012. U.S. apparent consumption for 2012 was estimated to have remained the same as that of 2011. World production was estimated to be about 27 Mt (30 million st) in 2012, which was slightly higher than 2011.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Apodaca, L., 2013, Peat: Mining Engineering, v. 2013, no. 7/12/13, p. 71-71.","productDescription":"1 p.","startPage":"71","endPage":"71","ipdsId":"IP-044447","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"7/12/13","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11766e4b02f5cae2b7330","contributors":{"authors":[{"text":"Apodaca, L.E.","contributorId":73635,"corporation":false,"usgs":true,"family":"Apodaca","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":479796,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046529,"text":"70046529 - 2013 - Nitrogen","interactions":[],"lastModifiedDate":"2013-07-12T14:00:16","indexId":"70046529","displayToPublicDate":"2013-07-12T13:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen","docAbstract":"Ammonia was produced by 13 companies at 25 plants in 16 states during 2012. Sixty-one percent of total U.S. ammonia production capacity was centered in Louisiana, Oklahoma and Texas because of those states’ large reserves of natural gas, the dominant domestic feedstock.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Apodaca, L., 2013, Nitrogen: Mining Engineering, v. 2013, no. July, p. 70-71.","productDescription":"2 p.","startPage":"70","endPage":"71","ipdsId":"IP-044450","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"July","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11765e4b02f5cae2b732c","contributors":{"authors":[{"text":"Apodaca, L.E.","contributorId":73635,"corporation":false,"usgs":true,"family":"Apodaca","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":479769,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046535,"text":"70046535 - 2013 - Lithium in 2012","interactions":[],"lastModifiedDate":"2016-08-31T12:14:00","indexId":"70046535","displayToPublicDate":"2013-07-12T13:55:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Lithium in 2012","docAbstract":"<p>In 2012, estimated world lithium consumption was about 28 kt (31,000 st) of lithium contained in minerals and compounds, an 8 percent increase from that of 2011. Estimated U.S. consumption was about 2 kt (2,200 st) of contained lithium, the same as that of 2011. The United States was thought to rank fourth in consumption of lithium and remained the leading importer of lithium carbonate and the leading producer of value-added lithium materials. One company, Rockwood Lithium Inc., produced lithium compounds from domestic brine resources near Silver Peak, NV.</p>","language":"English","publisher":"SME","usgsCitation":"Jaskula, B., 2013, Lithium in 2012: Mining Engineering, v. 65, no. 7, p. 63-64.","productDescription":"2 p.","startPage":"63","endPage":"64","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044463","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328131,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=3521&page=40"}],"volume":"65","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11763e4b02f5cae2b731c","contributors":{"authors":[{"text":"Jaskula, B.W.","contributorId":62496,"corporation":false,"usgs":true,"family":"Jaskula","given":"B.W.","affiliations":[],"preferred":false,"id":479774,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046534,"text":"70046534 - 2013 - Kaolin","interactions":[],"lastModifiedDate":"2013-07-12T13:54:16","indexId":"70046534","displayToPublicDate":"2013-07-12T13:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Kaolin","docAbstract":"Nineteen companies mined kaolin in eight states in 2012. Production, on the basis of preliminary data, was estimated to be 5.88 Mt (6.48 million st) valued at $841 million, an increase from 5.77 Mt (6.36 million st) valued at $817 million in 2011. Production in Georgia, the top producing state, increased to an estimated 5.45 Mt (6.01 million st) valued at $804 million in 2012 from 5.34 Mt (5.89 million st) valued at $781 million in 2011. Georgia accounted for 93 percent of U.S. production tonnage and nearly the entire domestic water-washed, delaminated and pigment-grade calcined kaolin production.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Virta, R., 2013, Kaolin: Mining Engineering, v. 2013, no. July, p. 60-62.","productDescription":"3 p.","startPage":"60","endPage":"62","ipdsId":"IP-044449","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"July","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11763e4b02f5cae2b7318","contributors":{"authors":[{"text":"Virta, R.L.","contributorId":39357,"corporation":false,"usgs":true,"family":"Virta","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":479773,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046551,"text":"70046551 - 2013 - Industrial sand and gravel","interactions":[],"lastModifiedDate":"2013-07-12T13:51:30","indexId":"70046551","displayToPublicDate":"2013-07-12T13:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Industrial sand and gravel","docAbstract":"Domestic production of industrial sand and gravel in 2012 was about 49.5 Mt (55 million st), increasing 13 percent compared with that of 2011. Some important end uses for industrial sand and gravel include abrasives, filtration, foundry, glassmaking, hydraulic fracturing sand (frac sand) and silicon metal applications.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Dolley, T., 2013, Industrial sand and gravel: Mining Engineering, v. 2013, no. July, p. 55-56.","productDescription":"2 p.","startPage":"55","endPage":"56","ipdsId":"IP-045020","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"July","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11762e4b02f5cae2b7314","contributors":{"authors":[{"text":"Dolley, T.P.","contributorId":24171,"corporation":false,"usgs":true,"family":"Dolley","given":"T.P.","affiliations":[],"preferred":false,"id":479793,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046549,"text":"70046549 - 2013 - Industrial garnet","interactions":[],"lastModifiedDate":"2013-07-12T13:48:31","indexId":"70046549","displayToPublicDate":"2013-07-12T13:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Industrial garnet","docAbstract":"Garnet has been used as a gemstone since the Bronze Age. However, garnet’s angular fractures, relatively high hardness and specific gravity, chemical inertness and nontoxicity make it ideal for many industrial applications. It is also free of crystalline silica and can be recycled.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Olson, D., 2013, Industrial garnet: Mining Engineering, v. 2013, no. July, p. 54-55.","productDescription":"2 p.","startPage":"54","endPage":"55","ipdsId":"IP-044979","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"July","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11762e4b02f5cae2b7310","contributors":{"authors":[{"text":"Olson, D.W.","contributorId":82369,"corporation":false,"usgs":true,"family":"Olson","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":479791,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046550,"text":"70046550 - 2013 - Industrial diamond","interactions":[],"lastModifiedDate":"2013-07-12T13:40:42","indexId":"70046550","displayToPublicDate":"2013-07-12T13:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Industrial diamond","docAbstract":"Estimated 2012 world production of natural and synthetic industrial diamond was about 4.45 billion carats. During 2012, natural industrial diamonds were produced in at least 20 countries, and synthetic industrial diamond was produced in at least 12 countries. About 99 percent of the combined natural and synthetic global output was produced in Belarus, China, Ireland, Japan, Russia, South Africa and the United States. During 2012, China was the world’s leading producer of synthetic industrial diamond followed by the United States and Russia. In 2012, the two U.S. synthetic producers, one in Pennsylvania and the other in Ohio, had an estimated output of 103 million carats, valued at about $70.6 million. This was an estimated 43.7 million carats of synthetic diamond bort, grit, and dust and powder with a value of $14.5 million combined with an estimated 59.7 million carats of synthetic diamond stone with a value of $56.1 million. Also in 2012, nine U.S. firms manufactured polycrystalline diamond (PCD) from synthetic diamond grit and powder. The United States government does not collect or maintain data for either domestic PCD producers or domestic chemical vapor deposition (CVD) diamond producers for quantity or value of annual production. Current trade and consumption quantity data are not available for PCD or for CVD diamond. For these reasons, PCD and CVD diamond are not included in the industrial diamond quantitative data reported here.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Olson, D., 2013, Industrial diamond: Mining Engineering, v. 2013, no. July, p. 53-54.","productDescription":"2 p.","startPage":"53","endPage":"54","ipdsId":"IP-044978","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"July","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11761e4b02f5cae2b730c","contributors":{"authors":[{"text":"Olson, D.W.","contributorId":82369,"corporation":false,"usgs":true,"family":"Olson","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":479792,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}