{"pageNumber":"1865","pageRowStart":"46600","pageSize":"25","recordCount":184982,"records":[{"id":70042326,"text":"70042326 - 2010 - Summer stream water temperature models for Great Lakes streams: New York","interactions":[],"lastModifiedDate":"2022-09-02T14:52:18.036633","indexId":"70042326","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Summer stream water temperature models for Great Lakes streams: New York","docAbstract":"Temperature is one of the most important environmental influences on aquatic organisms. It is a primary driver of physiological rates and many abiotic processes. However, despite extensive research and measurements, synoptic estimates of water temperature are not available for most regions, limiting our ability to make systemwide and large-scale assessments of aquatic resources or estimates of aquatic species abundance and biodiversity. We used subwatershed averaging of point temperature measurements and associated multiscale landscape habitat conditions from over 3,300 lotic sites throughout New York State to develop and train artificial neural network models. Separate models predicting water temperature (in cold, cool, and warm temperature classes) within small catchment–stream order groups were developed for four modeling units, which together encompassed the entire state. Water temperature predictions were then made for each stream segment in the state. All models explained more than 90% of data variation. Elevation, riparian forest cover, landscape slope, and growing degree-days were among the most important model predictors of water temperature classes. Geological influences varied among regions. Predicted temperature distributions within stream networks displayed patterns of generally increasing temperature downstream but were patchy due to the averaging of water temperatures within stream size-classes of small drainages. Models predicted coldwater streams to be most numerous and warmwater streams to be generally associated with the largest rivers and relatively flat agricultural areas and urban areas. Model predictions provide a complete, georeferenced map of summer daytime mean stream temperature potential throughout New York State that can be used for planning and assessment at spatial scales from the stream segment class to the entire state.","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MA","doi":"10.1577/T09-153.1","usgsCitation":"McKenna, J., Butryn, R.S., and McDonald, R.P., 2010, Summer stream water temperature models for Great Lakes streams: New York: Transactions of the American Fisheries Society, v. 139, no. 5, p. 1399-1414, https://doi.org/10.1577/T09-153.1.","productDescription":"16 p.","startPage":"1399","endPage":"1414","ipdsId":"IP-015655","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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York\",\"nation\":\"USA  \"}}]}","volume":"139","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"51372214e4b02ab8869c003a","contributors":{"authors":[{"text":"McKenna, James E.","contributorId":9217,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","affiliations":[],"preferred":false,"id":471280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butryn, Ryan S.","contributorId":87042,"corporation":false,"usgs":true,"family":"Butryn","given":"Ryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":471282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, Richard P.","contributorId":73895,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":471281,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042407,"text":"70042407 - 2010 - The effect of error in theoretical Earth tide on calibration of borehole strainmeters","interactions":[],"lastModifiedDate":"2013-03-06T17:15:30","indexId":"70042407","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The effect of error in theoretical Earth tide on calibration of borehole strainmeters","docAbstract":"Since the installation of borehole strainmeters into the ground locally distorts the strain in the rock, these strainmeters require calibration from a known source which typically is the Earth tide. Consequently, the accuracy of the observed strain changes from borehole strainmeters depends upon the calibration derived from modeling the Earth tide. Previous work from the mid-1970s, which is replicated here, demonstrate that the theoretical tide can differ by 30% from the tide observed at surface-mounted, long-baseline strainmeters. In spite of possible inaccurate tidal models, many of the 74 borehole strainmeters installed since 2005 can be “calibrated”. However, inaccurate tidal models affect the amplitude and phase of observed transient strain changes which needs to be considered along with the precision of the data from the inherent drift of these borehole instruments. In particular, the error from inaccurate tidal model dominates the error budget in the observation of impulsive, sub-daily, strain-transients.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2010GL044454","usgsCitation":"Langbein, J.O., 2010, The effect of error in theoretical Earth tide on calibration of borehole strainmeters: Geophysical Research Letters, v. 37, no. 21, L21303, https://doi.org/10.1029/2010GL044454.","productDescription":"L21303","ipdsId":"IP-021866","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":475664,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl044454","text":"Publisher Index Page"},{"id":268834,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL044454"},{"id":268835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"21","noUsgsAuthors":false,"publicationDate":"2010-11-03","publicationStatus":"PW","scienceBaseUri":"5138738de4b02c509e50c4ed","contributors":{"authors":[{"text":"Langbein, John O.","contributorId":72438,"corporation":false,"usgs":true,"family":"Langbein","given":"John","middleInitial":"O.","affiliations":[],"preferred":false,"id":471476,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042327,"text":"70042327 - 2010 - Policies and practices of beach monitoring in the Great Lakes, USA: a critical review","interactions":[],"lastModifiedDate":"2013-03-05T20:52:48","indexId":"70042327","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2259,"text":"Journal of Environmental Monitoring","active":true,"publicationSubtype":{"id":10}},"title":"Policies and practices of beach monitoring in the Great Lakes, USA: a critical review","docAbstract":"Beaches throughout the Great Lakes are monitored for fecal indicator bacteria (typically Escherichia coli) in order to protect the public from potential sewage contamination. Currently, there is no universal standard for sample collection and analysis or results interpretation. Monitoring policies are developed by individual beach management jurisdictions, and applications are highly variable across and within lakes, states, and provinces. Extensive research has demonstrated that sampling decisions for time, depth, number of replicates, frequency of sampling, and laboratory analysis all influence the results outcome, as well as calculations of the mean and interpretation of the results in policy decisions. Additional shortcomings to current monitoring approaches include appropriateness and reliability of currently used indicator bacteria and the overall goal of these monitoring programs. Current research is attempting to circumvent these complex issues by developing new tools and methods for beach monitoring. In this review, we highlight the variety of sampling routines used across the Great Lakes and the extensive body of research that challenges comparisons among beaches. We also assess the future of Great Lakes monitoring and the advantages and disadvantages of establishing standards that are evenly applied across all beaches.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Monitoring","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"RSC Publishing","publisherLocation":"London, U.K.","doi":"10.1039/B917590C","usgsCitation":"Nevers, M.B., and Whitman, R.L., 2010, Policies and practices of beach monitoring in the Great Lakes, USA: a critical review: Journal of Environmental Monitoring, v. 12, p. 581-590, https://doi.org/10.1039/B917590C.","productDescription":"10 p.","startPage":"581","endPage":"590","ipdsId":"IP-012026","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268808,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1039/B917590C"}],"country":"United States","otherGeospatial":"Great Lakes","volume":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5137220fe4b02ab8869c0021","contributors":{"authors":[{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":471284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471283,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042336,"text":"70042336 - 2010 - A short-term look at potential changes in Lake Michigan slimy sculpin diets","interactions":[],"lastModifiedDate":"2013-04-06T19:51:06","indexId":"70042336","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"A short-term look at potential changes in Lake Michigan slimy sculpin diets","docAbstract":"Diporeia hoyi and Mysis relicta are the most important prey items of slimy sculpins (Cottus cognatus) in the Great Lakes. Slimy sculpins were collected from dreissenid-infested bottoms off seven Lake Michigan ports at depths of 27–73 m in fall 2003 to study their lake-wide diets. Relatively large dreissenid biomass occurred at depths of 37- and 46-m. Quagga mussels (Dreissena bugnesis) composed at least 50% of dreissenid biomass at Manistique, Saugatuck, and Sturgeon Bay. Mysis accounted for 82% of the sculpin diet by dry weight at eastern Lake Michigan while Diporeia composed 54–69% of the diet at western Lake Michigan and dominated the diets of slimy sculpins at all sites deeper than 46 m. In northern Lake Michigan, this diet study in new sites showed that slimy sculpin consumed more prey with low energy contents, especially chironomids, than Mysis and Diporeia in shallow sites (depth <55 m). We recommend diet studies on sedentary benthic fishes to be conducted along perimeters of the Great Lakes to observe changes in their diets that may be impacted by changing benthic macroinvertebrate communities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Ann Arbor, MI","doi":"10.1016/j.jglr.2010.01.007","usgsCitation":"French, J.R., Stickel, R., Stockdale, B.A., and Black, M.G., 2010, A short-term look at potential changes in Lake Michigan slimy sculpin diets: Journal of Great Lakes Research, v. 36, no. 2, p. 376-379, https://doi.org/10.1016/j.jglr.2010.01.007.","productDescription":"4 p.","startPage":"376","endPage":"379","ipdsId":"IP-010817","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":270609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270608,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2010.01.007"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.0,41.6 ], [ -88.0,46.1 ], [ -84.8,46.1 ], [ -84.8,41.6 ], [ -88.0,41.6 ] ] ] } } ] }","volume":"36","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51614bd7e4b022d43fdfaa21","contributors":{"authors":[{"text":"French, John R. P. III","contributorId":107635,"corporation":false,"usgs":true,"family":"French","given":"John","suffix":"III","email":"","middleInitial":"R. P.","affiliations":[],"preferred":false,"id":471327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stickel, Richard G.","contributorId":50801,"corporation":false,"usgs":true,"family":"Stickel","given":"Richard G.","affiliations":[],"preferred":false,"id":471325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdale, Beth A.","contributorId":57335,"corporation":false,"usgs":true,"family":"Stockdale","given":"Beth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Black, M. Glen gblack@usgs.gov","contributorId":2394,"corporation":false,"usgs":true,"family":"Black","given":"M.","email":"gblack@usgs.gov","middleInitial":"Glen","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471324,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042334,"text":"70042334 - 2010 - Dreissenid mussels are not a \"dead end\" in Great Lakes food webs","interactions":[],"lastModifiedDate":"2013-05-02T14:57:27","indexId":"70042334","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Dreissenid mussels are not a \"dead end\" in Great Lakes food webs","docAbstract":"Dreissenid mussels have been regarded as a “dead end” in Great Lakes food webs because the degree of predation on dreissenid mussels, on a lakewide basis, is believed to be low. Waterfowl predation on dreissenid mussels in the Great Lakes has primarily been confined to bays, and therefore its effects on the dreissenid mussel population have been localized rather than operating on a lakewide level. Based on results from a previous study, annual consumption of dreissenid mussels by the round goby (Neogobius melanostomus) population in central Lake Erie averaged only 6 kilotonnes (kt; 1 kt = one thousand metric tons) during 1995–2002. In contrast, our coupling of lake whitefish (Coregonus clupeaformis) population models with a lake whitefish bioenergetics model revealed that lake whitefish populations in Lakes Michigan and Huron consumed 109 and 820 kt, respectively, of dreissenid mussels each year. Our results indicated that lake whitefish can be an important predator on dreissenid mussels in the Great Lakes, and that dreissenid mussels do not represent a “dead end” in Great Lakes food webs. The Lake Michigan dreissenid mussel population has been estimated to be growing more than three times faster than the Lake Huron dreissenid mussel population during the 2000s. One plausible explanation for the higher population growth rate in Lake Michigan would be the substantially higher predation rate by lake whitefish on dreissenid mussels in Lake Huron.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2009.09.001","usgsCitation":"Madenijan, C.P., Pothoven, S.A., Schneeberger, P.J., Ebener, M.P., Mohr, L.C., Nalepa, T., and Bence, J., 2010, Dreissenid mussels are not a \"dead end\" in Great Lakes food webs: Journal of Great Lakes Research, v. 36, no. SP1, p. 73-77, https://doi.org/10.1016/j.jglr.2009.09.001.","productDescription":"5 p.","startPage":"73","endPage":"77","ipdsId":"IP-006302","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":271772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271771,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2009.09.001"}],"otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.8,41.18 ], [ -75.8,49.1 ], [ -92.11,49.1 ], [ -92.11,41.18 ], [ -75.8,41.18 ] ] ] } } ] }","volume":"36","issue":"SP1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51838ae7e4b0a21483941a99","contributors":{"authors":[{"text":"Madenijan, Charles P.","contributorId":101169,"corporation":false,"usgs":true,"family":"Madenijan","given":"Charles","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":471308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneeberger, Philip J.","contributorId":43313,"corporation":false,"usgs":true,"family":"Schneeberger","given":"Philip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ebener, Mark P.","contributorId":25099,"corporation":false,"usgs":false,"family":"Ebener","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":471302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mohr, Lloyd C.","contributorId":77493,"corporation":false,"usgs":false,"family":"Mohr","given":"Lloyd","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":471305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nalepa, Thomas F.","contributorId":28212,"corporation":false,"usgs":true,"family":"Nalepa","given":"Thomas F.","affiliations":[],"preferred":false,"id":471303,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":471307,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70043695,"text":"70043695 - 2010 - Identification, characterization and genetic mapping of TLR7, TLR8a1 and TLR8a2 genes in rainbow trout (Oncorhynchus mykiss)","interactions":[],"lastModifiedDate":"2013-06-05T14:40:30","indexId":"70043695","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1383,"text":"Developmental and Comparative Immunology","active":true,"publicationSubtype":{"id":10}},"title":"Identification, characterization and genetic mapping of TLR7, TLR8a1 and TLR8a2 genes in rainbow trout (Oncorhynchus mykiss)","docAbstract":"Induction of the innate immune pathways is critical for early anti-viral defense but there is limited understanding of how teleost fish recognize viral molecules and activate these pathways. In mammals, Toll-like receptors (TLR) 7 and 8 bind single-stranded RNA of viral origin and are activated by synthetic anti-viral imidazoquinoline compounds. Herein, we identify and describe the rainbow trout (Oncorhynchus mykiss) TLR7 and TLR8 gene orthologs and their mRNA expression. Two TLR7/8 loci were identified from a rainbow trout bacterial artificial chromosome (BAC) library using DNA fingerprinting and genetic linkage analyses. Direct sequencing of two representative BACs revealed intact omTLR7 and omTLR8a1 open reading frames (ORFs) located on chromosome 3 and a second locus on chromosome 22 that contains an omTLR8a2 ORF and a putative TLR7 pseudogene. We used the omTLR8a1/2 nomenclature for the two trout TLR8 genes as phylogenetic analysis revealed that they and all the other teleost TLR8 genes sequenced to date are similar to the zebrafish TLR8a, but are distinct from the zebrafish TLR8b. The duplicated trout loci exhibit conserved synteny with other fish genomes extending beyond the tandem of TLR7/8 genes. The trout TLR7 and 8a1/2 genes are composed of a single large exon similar to all other described TLR7/8 genes. The omTLR7 ORF is predicted to encode a 1049 amino acid (aa) protein with 84% similarity to the Fugu TLR7 and a conserved pattern of predicted leucine-rich repeats (LRR). The omTLR8a1 and omTLR8a2 are predicted to encode 1035- and 1034-aa proteins, respectively, and have 86% similarity to each other. omTLR8a1 is likely the ortholog of the only Atlantic salmon TLR8 gene described to date as they have 95% aa sequence similarity. The tissue expression profiles of omTLR7, omTLR8a1 and omTLR8a2 in healthy trout were highest in spleen tissue followed by anterior and then posterior kidney tissues. Rainbow trout anterior kidney leukocytes produced elevated levels of pro-inflammatory and type I interferon cytokines mRNA in response to stimulation with the human TLR7/8 agonist R848 or the TLR3 agonist poly I:C. Only poly I:C-induced IFN2 transcription was significantly suppressed in the presence of chloroquine, a compound known to block endosomal acidification and inhibit endosomal maturation. The effect of chloroquine on R848-induced cytokine expression was equivocal and so it remains questionable whether rainbow trout recognition of R848 requires endosomal maturation. TLR7 and TLR8a1 expression levels in rainbow trout anterior kidney leukocytes were not affected by poly I:C or R848 treatments, but surprisingly, TLR8a2 expression was moderately down-regulated by R848. The down-regulation of omTLR8a2 may imply that this gene has evolved to a new or altered function in rainbow trout, as often occurs when the two duplicated genes remain active.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Developmental and Comparative Immunology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.dci.2009.10.002","usgsCitation":"Palti, Y., Gahr, S.A., Purcell, M., Hadidi, S., Rexroad, C.E., and Wiens, G., 2010, Identification, characterization and genetic mapping of TLR7, TLR8a1 and TLR8a2 genes in rainbow trout (Oncorhynchus mykiss): Developmental and Comparative Immunology, v. 34, no. 2, p. 219-233, https://doi.org/10.1016/j.dci.2009.10.002.","productDescription":"15 p.","startPage":"219","endPage":"233","ipdsId":"IP-017141","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":273332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273331,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.dci.2009.10.002"}],"volume":"34","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b05de6e4b030b51980121f","contributors":{"authors":[{"text":"Palti, Yniv","contributorId":46856,"corporation":false,"usgs":true,"family":"Palti","given":"Yniv","email":"","affiliations":[],"preferred":false,"id":474107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gahr, Scott A.","contributorId":32057,"corporation":false,"usgs":true,"family":"Gahr","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Purcell, Maureen K.","contributorId":104214,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen K.","affiliations":[],"preferred":false,"id":474110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hadidi, Sima","contributorId":60936,"corporation":false,"usgs":true,"family":"Hadidi","given":"Sima","email":"","affiliations":[],"preferred":false,"id":474108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rexroad, Caird E. III","contributorId":45203,"corporation":false,"usgs":true,"family":"Rexroad","given":"Caird","suffix":"III","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":474106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiens, Gregory A.","contributorId":66993,"corporation":false,"usgs":true,"family":"Wiens","given":"Gregory A.","affiliations":[],"preferred":false,"id":474109,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70042228,"text":"70042228 - 2010 - Relationship and variation of qPCR and culturable enterococci estimates in ambient surface waters are predictable","interactions":[],"lastModifiedDate":"2013-03-10T15:13:13","indexId":"70042228","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Relationship and variation of qPCR and culturable enterococci estimates in ambient surface waters are predictable","docAbstract":"The quantitative polymerase chain reaction (qPCR) method provides rapid estimates of fecal indicator bacteria densities that have been indicated to be useful in the assessment of water quality. Primarily because this method provides faster results than standard culture-based methods, the U.S. Environmental Protection Agency is currently considering its use as a basis for revised ambient water quality criteria. In anticipation of this possibility, we sought to examine the relationship between qPCR-based and culture-based estimates of enterococci in surface waters. Using data from several research groups, we compared enterococci estimates by the two methods in water samples collected from 37 sites across the United States. A consistent linear pattern in the relationship between cell equivalents (CCE), based on the qPCR method, and colony-forming units (CFU), based on the traditional culturable method, was significant (P < 0.05) at most sites. A linearly decreasing variance of CCE with increasing CFU levels was significant (P < 0.05) or evident for all sites. Both marine and freshwater sites under continuous influence of point-source contamination tended to reveal a relatively constant proportion of CCE to CFU. The consistency in the mean and variance patterns of CCE versus CFU indicates that the relationship of results based on these two methods is more predictable at high CFU levels (e.g., log<sub>10</sub>CFU > 2.0/100 mL) while uncertainty increases at lower CFU values. It was further noted that the relative error in replicated qPCR estimates was generally higher than that in replicated culture counts even at relatively high target levels, suggesting a greater need for replicated analyses in the qPCR method to reduce relative error. Further studies evaluating the relationship between culture and qPCR should take into account analytical uncertainty as well as potential differences in results of these methods that may arise from sample variability, different sources of pollution, and environmental factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es9028974","usgsCitation":"Whitman, R.L., Ge, Z., Nevers, M.B., Boehm, A., Chern, E.C., Haugland, R.A., Lukasik, A.M., Molina, M., Przybyla-Kelly, K., Shively, D.A., White, E.M., Zepp, R.G., and Byappanahalli, M., 2010, Relationship and variation of qPCR and culturable enterococci estimates in ambient surface waters are predictable: Environmental Science & Technology, v. 44, no. 13, p. 5049-5054, https://doi.org/10.1021/es9028974.","productDescription":"6 p.","startPage":"5049","endPage":"5054","ipdsId":"IP-019709","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":269039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269038,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es9028974"}],"volume":"44","issue":"13","noUsgsAuthors":false,"publicationDate":"2010-06-08","publicationStatus":"PW","scienceBaseUri":"53cd7027e4b0b29085106e04","contributors":{"authors":[{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ge, Zhongfu","contributorId":29709,"corporation":false,"usgs":true,"family":"Ge","given":"Zhongfu","affiliations":[],"preferred":false,"id":471039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":471046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boehm, Alexandria B.","contributorId":51616,"corporation":false,"usgs":true,"family":"Boehm","given":"Alexandria B.","affiliations":[],"preferred":false,"id":471043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chern, Eunice C.","contributorId":42500,"corporation":false,"usgs":true,"family":"Chern","given":"Eunice","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":471041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haugland, Richard A.","contributorId":102439,"corporation":false,"usgs":true,"family":"Haugland","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471048,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lukasik, Ashley M.","contributorId":32421,"corporation":false,"usgs":true,"family":"Lukasik","given":"Ashley","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":471040,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Molina, Marirosa","contributorId":102356,"corporation":false,"usgs":true,"family":"Molina","given":"Marirosa","affiliations":[],"preferred":false,"id":471047,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Przybyla-Kelly, Kasia","contributorId":79004,"corporation":false,"usgs":true,"family":"Przybyla-Kelly","given":"Kasia","affiliations":[],"preferred":false,"id":471045,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shively, Dawn A. dshively@usgs.gov","contributorId":2051,"corporation":false,"usgs":true,"family":"Shively","given":"Dawn","email":"dshively@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471037,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"White, Emily M.","contributorId":24664,"corporation":false,"usgs":true,"family":"White","given":"Emily","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":471038,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zepp, Richard G.","contributorId":59703,"corporation":false,"usgs":true,"family":"Zepp","given":"Richard","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":471044,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Byappanahalli, Muruleedhara N.","contributorId":47335,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","affiliations":[],"preferred":false,"id":471042,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70044511,"text":"70044511 - 2010 - Testing mixing models of old and young groundwater in a tropical lowland rain forest with environmental tracers","interactions":[],"lastModifiedDate":"2018-10-09T11:09:54","indexId":"70044511","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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":"Testing mixing models of old and young groundwater in a tropical lowland rain forest with environmental tracers","docAbstract":"<p><span>We tested three models of mixing between old interbasin groundwater flow (IGF) and young, locally derived groundwater in a lowland rain forest in Costa Rica using a large suite of environmental tracers. We focus on the young fraction of water using the transient tracers CFC‐11, CFC‐12, CFC‐113, SF</span><sub>6</sub><span>,<span>&nbsp;</span></span><sup>3</sup><span>H, and bomb<span>&nbsp;</span></span><sup>14</sup><span>C. We measured<span>&nbsp;</span></span><sup>3</sup><span>He, but<span>&nbsp;</span></span><sup>3</sup><span>H/</span><sup>3</sup><span>He dating is generally problematic due to the presence of mantle<span>&nbsp;</span></span><sup>3</sup><span>He. Because of their unique concentration histories in the atmosphere, combinations of transient tracers are sensitive not only to subsurface travel times but also to mixing between waters having different travel times. Samples fall into three distinct categories: (1) young waters that plot along a piston flow line, (2) old samples that have near‐zero concentrations of the transient tracers, and (3) mixtures of 1 and 2. We have modeled the concentrations of the transient tracers using (1) a binary mixing model (BMM) of old and young water with the young fraction transported via piston flow, (2) an exponential mixing model (EMM) with a distribution of groundwater travel times characterized by a mean value, and (3) an exponential mixing model for the young fraction followed by binary mixing with an old fraction (EMM/BMM). In spite of the mathematical differences in the mixing models, they all lead to a similar conceptual model of young (0 to 10 year) groundwater that is locally derived mixing with old (&gt;1000 years) groundwater that is recharged beyond the surface water boundary of the system.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009WR008341","usgsCitation":"Solomon, D., Genereux, D., Plummer, N., and Busenberg, E., 2010, Testing mixing models of old and young groundwater in a tropical lowland rain forest with environmental tracers: Water Resources Research, v. 46, no. 4, 14 p., https://doi.org/10.1029/2009WR008341.","productDescription":"14 p.","ipdsId":"IP-013232","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":270726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Costa Rica","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-82.96578,8.22503],[-83.50844,8.44693],[-83.71147,8.65684],[-83.59631,8.83044],[-83.63264,9.05139],[-83.90989,9.2908],[-84.3034,9.48735],[-84.64764,9.61554],[-84.71335,9.90805],[-84.97566,10.08672],[-84.91137,9.79599],[-85.11092,9.55704],[-85.33949,9.83454],[-85.66079,9.93335],[-85.79744,10.13489],[-85.79171,10.43934],[-85.65931,10.75433],[-85.94173,10.89528],[-85.71254,11.08844],[-85.56185,11.21712],[-84.903,10.9523],[-84.67307,11.08266],[-84.35593,10.99923],[-84.19018,10.79345],[-83.89505,10.72684],[-83.65561,10.93876],[-83.40232,10.39544],[-83.01568,9.99298],[-82.5462,9.56613],[-82.93289,9.47681],[-82.92715,9.07433],[-82.71918,8.92571],[-82.86866,8.80727],[-82.82977,8.6263],[-82.91318,8.42352],[-82.96578,8.22503]]]},\"properties\":{\"name\":\"Costa Rica\"}}]}","volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-04-29","publicationStatus":"PW","scienceBaseUri":"51653873e4b077fa94dae022","contributors":{"authors":[{"text":"Solomon, D. Kip","contributorId":71441,"corporation":false,"usgs":true,"family":"Solomon","given":"D. Kip","affiliations":[],"preferred":false,"id":475786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Genereux, David P.","contributorId":43649,"corporation":false,"usgs":true,"family":"Genereux","given":"David P.","affiliations":[],"preferred":false,"id":475785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Busenberg, Eurybiades ebusenbe@usgs.gov","contributorId":2271,"corporation":false,"usgs":true,"family":"Busenberg","given":"Eurybiades","email":"ebusenbe@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475783,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041896,"text":"70041896 - 2010 - Habitat selection and spawning success of walleye in a tributary to Owasco Lake, New York","interactions":[],"lastModifiedDate":"2013-02-28T11:59:13","indexId":"70041896","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Habitat selection and spawning success of walleye in a tributary to Owasco Lake, New York","docAbstract":"Walleyes <i>Sander vitreus</i> are stocked into Owasco Lake, New York, to provide a sport fishery, but the population must be sustained by annual hatchery supplementation despite the presence of appropriate habitat. Therefore, we evaluated walleye spawning success in Dutch Hollow Brook, a tributary of Owasco Lake, to determine whether early survival limited recruitment. Spawning success during spring 2006 and 2007 was evaluated by estimating egg densities from samples collected in the lower 725 m of the stream. Environmental variables were also recorded to characterize the selected spawning habitat. Drift nets were set downstream of the spawning section to assess egg survival and larval drift. We estimated that 162,596 larvae hatched in 2006. For 2007, we estimated that 360,026 eggs were deposited, with a hatch of 127,500 larvae and hatching success of 35.4%. Egg density was significantly correlated to percent cover, substrate type, and depth : velocity ratio. Two sections had significantly higher egg deposition than other areas. Adult spawning walleyes selected shallow, slow habitats with some cover and gravel substrate in the accessible reaches of Dutch Hollow Brook. Our results show that walleyes found suitable spawning habitat in Dutch Hollow Brook and that egg and larval development does not appear to limit natural reproduction.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1577/M09-033.1","usgsCitation":"Chalupnicki, M., Johnson, J.H., McKenna, J., and Dittman, D.E., 2010, Habitat selection and spawning success of walleye in a tributary to Owasco Lake, New York: North American Journal of Fisheries Management, v. 30, no. 1, p. 170-178, https://doi.org/10.1577/M09-033.1.","productDescription":"9 p.","startPage":"170","endPage":"178","ipdsId":"IP-012547","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268549,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/M09-033.1"}],"country":"United States","state":"New York","otherGeospatial":"Owasco Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.76,40.5 ], [ -79.76,45.0 ], [ -71.86,45.0 ], [ -71.86,40.5 ], [ -79.76,40.5 ] ] ] } } ] }","volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-02-01","publicationStatus":"PW","scienceBaseUri":"51308a8ce4b04c194073adf3","contributors":{"authors":[{"text":"Chalupnicki, Marc A. 0000-0002-3792-9345","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":11033,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":470328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKenna, James E. Jr.","contributorId":56992,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","affiliations":[],"preferred":false,"id":470329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dittman, Dawn E. 0000-0002-0711-3732 ddittman@usgs.gov","orcid":"https://orcid.org/0000-0002-0711-3732","contributorId":2762,"corporation":false,"usgs":true,"family":"Dittman","given":"Dawn","email":"ddittman@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470327,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046384,"text":"70046384 - 2010 - New software methods in radar ornithology using WSR-88D weather data and potential application to monitoring effects of climate change on bird migration","interactions":[],"lastModifiedDate":"2013-07-02T10:34:19","indexId":"70046384","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"New software methods in radar ornithology using WSR-88D weather data and potential application to monitoring effects of climate change on bird migration","docAbstract":"Radar ornithology has provided tools for studying the movement of birds, especially related to migration. Researchers have presented qualitative evidence suggesting that birds, or at least migration events, can be identified using large broad scale radars such as the WSR-88D used in the NEXRAD weather surveillance system. This is potentially a boon for ornithologists because such data cover a large portion of the United States, are constantly being produced, are freely available, and have been archived since the early 1990s. A major obstacle to this research, however, has been that identifying birds in NEXRAD data has required a trained technician to manually inspect a graphically rendered radar sweep. A single site completes one volume scan every five to ten minutes, producing over 52,000 volume scans in one year. This is an immense amount of data, and manual classification is infeasible. We have developed a system that identifies biological echoes using machine learning techniques. This approach begins with training data using scans that have been classified by experts, or uses bird data collected in the field. The data are preprocessed to ensure quality and to emphasize relevant features. A classifier is then trained using this data and cross validation is used to measure performance. We compared neural networks, naive Bayes, and k-nearest neighbor classifiers. Empirical evidence is provided showing that this system can achieve classification accuracies in the 80th to 90th percentile. We propose to apply these methods to studying bird migration phenology and how it is affected by climate variability and change over multiple temporal scales.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2010 International Congress on Environmental Modelling and Software; Modelling for Environment's Sake, Fifth Biennial Meeting, Ottawa, Canada","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Environmental Modelling and Software Society","usgsCitation":"Mead, R., Paxton, J., and Sojda, R.S., 2010, New software methods in radar ornithology using WSR-88D weather data and potential application to monitoring effects of climate change on bird migration, <i>in</i> 2010 International Congress on Environmental Modelling and Software; Modelling for Environment's Sake, Fifth Biennial Meeting, Ottawa, Canada, 8 p.","productDescription":"8 p.","ipdsId":"IP-020189","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":274417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274416,"type":{"id":11,"text":"Document"},"url":"https://www.iemss.org/iemss2010/papers/W01/W.01.04.New%20software%20methods%20in%20radar%20ornithology%20using%20WSR-88D%20weather%20data%20and%20potential%20application%20to%20monitoring%20effects%20of%20climate%20change%20on%20bird%20migration%20-%20RICHARD%20S.%20SOJDA.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3f665e4b09630fbdc52a3","contributors":{"editors":[{"text":"Swayne, David A.","contributorId":111728,"corporation":false,"usgs":true,"family":"Swayne","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":509331,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Yang, Wanhong","contributorId":111437,"corporation":false,"usgs":true,"family":"Yang","given":"Wanhong","email":"","affiliations":[],"preferred":false,"id":509330,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Voinov, A.A.","contributorId":113598,"corporation":false,"usgs":true,"family":"Voinov","given":"A.A.","affiliations":[],"preferred":false,"id":509333,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Rizzoli, A.","contributorId":113599,"corporation":false,"usgs":true,"family":"Rizzoli","given":"A.","affiliations":[],"preferred":false,"id":509334,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Filatova, T.","contributorId":112264,"corporation":false,"usgs":true,"family":"Filatova","given":"T.","email":"","affiliations":[],"preferred":false,"id":509332,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Mead, Reginald","contributorId":62109,"corporation":false,"usgs":true,"family":"Mead","given":"Reginald","email":"","affiliations":[],"preferred":false,"id":479596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paxton, John","contributorId":22227,"corporation":false,"usgs":true,"family":"Paxton","given":"John","email":"","affiliations":[],"preferred":false,"id":479595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sojda, Richard S. sojda@usgs.gov","contributorId":1663,"corporation":false,"usgs":true,"family":"Sojda","given":"Richard","email":"sojda@usgs.gov","middleInitial":"S.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":479594,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044801,"text":"70044801 - 2010 - Mineral resource of the month: iron ore","interactions":[],"lastModifiedDate":"2013-05-08T20:22:02","indexId":"70044801","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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: iron ore","docAbstract":"The article provides information on iron ore, including its use in steelmaking.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Jorgenson, J., 2010, Mineral resource of the month: iron ore: Earth, v. 55, no. 1, p. 29-29.","productDescription":"1 p.","startPage":"29","endPage":"29","ipdsId":"IP-017293","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73ede4b0037667dbc869","contributors":{"authors":[{"text":"Jorgenson, John","contributorId":89223,"corporation":false,"usgs":true,"family":"Jorgenson","given":"John","affiliations":[],"preferred":false,"id":476343,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044821,"text":"70044821 - 2010 - Mineral resource of the month: germanium","interactions":[],"lastModifiedDate":"2013-05-08T16:25:53","indexId":"70044821","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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: germanium","docAbstract":"The article provides information on germanium, an element with electrical properties between those of a metal and an insulator. Applications of germanium include its use as a component of the glass in fiber-optic cable, in infrared optics devices and as a semiconductor and substrate used in electronic and solar applications. Germanium was first isolated by German chemist Clemens Winkler in 1886 and was named after Winkler's native country. In 2008, the leading sources of primary germanium from coal or zinc include Canada, China and Russia.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Guberman, D., 2010, Mineral resource of the month: germanium: Earth, v. 55, no. 5, p. 27-27.","productDescription":"1 p.","startPage":"27","endPage":"27","ipdsId":"IP-020125","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73ece4b0037667dbc850","contributors":{"authors":[{"text":"Guberman, David","contributorId":75404,"corporation":false,"usgs":true,"family":"Guberman","given":"David","affiliations":[],"preferred":false,"id":476374,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046095,"text":"70046095 - 2010 - Groundwater hydrology--coastal flow","interactions":[],"lastModifiedDate":"2018-10-11T17:43:34","indexId":"70046095","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater hydrology--coastal flow","docAbstract":"How groundwater flow varies when long-term external conditions change is little documented. Geochemical evidence shows that sea-level rise at the end of the last glacial period led to a shift in the flow patterns of coastal groundwater beneath Florida.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","doi":"10.1038/ngeo958","usgsCitation":"Sanford, W.E., 2010, Groundwater hydrology--coastal flow: Nature Geoscience, v. 3, p. 671-672, https://doi.org/10.1038/ngeo958.","productDescription":"2 p.","startPage":"671","endPage":"672","ipdsId":"IP-022610","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":273073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273072,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ngeo958"}],"country":"United States","state":"Florida","volume":"3","noUsgsAuthors":false,"publicationDate":"2010-09-12","publicationStatus":"PW","scienceBaseUri":"51ac6964e4b0cc85b6ed6b56","contributors":{"authors":[{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":478894,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044819,"text":"70044819 - 2010 - Mineral resource of the month: salt","interactions":[],"lastModifiedDate":"2013-05-08T20:19:16","indexId":"70044819","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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: salt","docAbstract":"The article presents information on various types of salt. Rock salt is either found from underground halite deposits or near the surface. Other types of salt include solar salt, salt brine, and vacuum pan salt. The different uses of salt are also given including its use as a flavor enhancer, as a road deicing agent, and to manufacture sodium hydroxide.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Kostick, D.S., 2010, Mineral resource of the month: salt: Earth, v. 55, no. 4, p. 27-27.","productDescription":"1 p.","startPage":"27","endPage":"27","ipdsId":"IP-019136","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73f2e4b0037667dbc89e","contributors":{"authors":[{"text":"Kostick, Dennis S.","contributorId":49919,"corporation":false,"usgs":true,"family":"Kostick","given":"Dennis","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476373,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044852,"text":"70044852 - 2010 - Bauxite and alumina","interactions":[],"lastModifiedDate":"2013-04-16T11:49:38","indexId":"70044852","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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":"Bauxite and alumina","docAbstract":"The article reports on the global market performance of bauxite and alumina in 2009 and presents an outlook for their 2010 performance. There were only several U.S. states that could produce bauxite and bauxitic clays including Georgia, Arkansas, and Alabama. The prices for imported refractory-grade calcined bauxite ranged between 426 U.S. dollars and 554 dollars per ton.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","publisherLocation":"Englewood, CO","usgsCitation":"Bray, E., 2010, Bauxite and alumina: Mining Engineering, v. 62, no. 6, p. 40-41.","productDescription":"2 p.","startPage":"40","endPage":"41","ipdsId":"IP-028723","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516d2165e4b0411d430a89d8","contributors":{"authors":[{"text":"Bray, E.L.","contributorId":95830,"corporation":false,"usgs":true,"family":"Bray","given":"E.L.","email":"","affiliations":[],"preferred":false,"id":476407,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044846,"text":"70044846 - 2010 - Ball clay","interactions":[],"lastModifiedDate":"2013-04-16T10:49:47","indexId":"70044846","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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":"Ball clay","docAbstract":"The article reports on the global market performance of ball clay in 2009 and presents an outlook for its 2010 performance. Several companies mined ball call in the country including Old Hickey Clay Co., Kentucky-Tennessee Clay Co., and H.C. Spinks Clay Co. Information on the decline in ball clay imports and exports is also presented.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","publisherLocation":"Englewood, CO","usgsCitation":"Virta, R.L., 2010, Ball clay: Mining Engineering, v. 62, no. 6, p. 39-40.","productDescription":"2 p.","startPage":"39","endPage":"40","ipdsId":"IP-020239","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516d2161e4b0411d430a89c4","contributors":{"authors":[{"text":"Virta, Robert L. rvirta@usgs.gov","contributorId":395,"corporation":false,"usgs":true,"family":"Virta","given":"Robert","email":"rvirta@usgs.gov","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":476397,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045921,"text":"70045921 - 2010 - Mineral resource of the month: silicon","interactions":[],"lastModifiedDate":"2013-05-08T20:15:39","indexId":"70045921","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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: silicon","docAbstract":"The article offers information about silicon, a metalloid element which is considered the second-most abundant element in the Earth crust.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2010, Mineral resource of the month: silicon: Earth, v. 55, no. 10, p. 27-27.","productDescription":"1 p.","startPage":"27","endPage":"27","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73f2e4b0037667dbc8a2","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535511,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044881,"text":"70044881 - 2010 - Perlite","interactions":[],"lastModifiedDate":"2013-05-05T17:21:44","indexId":"70044881","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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":"Consumption, imports and domestic production of perlite in the United States continued to be severely affected by the multi-year downturn in construction activity and decreased consumer spending. The estimated amount of processed perlite sold or used from U.S. mines in 2009 fell to 380 kt (418,000 st), the lowest amount of domestic perlite sold or used since 1967.The U.S. consumption of crude processed perlite in 2009 was estimated to have decreased to 480 kt (530,000 st), the lowest level of consumption since 1984 when consumption was 474 kt (522,000 st). Preliminary reports indicate that perlite imports decreased for the third consecutive year and have fallen about 45 percent since peaking in 2006.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Bolen, W., 2010, Perlite: Mining Engineering, v. 62, no. 6, p. 67-67.","productDescription":"1 p.","startPage":"67","endPage":"67","ipdsId":"IP-028900","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51877f69e4b078fc9c244bac","contributors":{"authors":[{"text":"Bolen, W.P.","contributorId":46394,"corporation":false,"usgs":true,"family":"Bolen","given":"W.P.","email":"","affiliations":[],"preferred":false,"id":476429,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045910,"text":"70045910 - 2010 - Mineral resource of the month: perlite","interactions":[],"lastModifiedDate":"2013-05-08T17:43:37","indexId":"70045910","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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: perlite","docAbstract":"The article talks about perlite, which is a mineral used as an aggregate for lightweight construction products, filler for paints and horticultural soil blends. Perlite comes from viscous lava, mined and processed to produce lightweight material that competes with pumice, exfoliated vermiculite and expanded clay and shale. It is mined in about 35 countries that include Greece, Japan and the U.S. Other uses include insulation, concrete and plaster aggregate, and stonewashing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2010, Mineral resource of the month: perlite: Earth, v. 55, no. 8, p. 27-27.","productDescription":"1 p.","startPage":"27","endPage":"27","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73f0e4b0037667dbc887","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535505,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044795,"text":"70044795 - 2010 - Mineral resource of the month: cesium","interactions":[],"lastModifiedDate":"2013-05-08T17:16:52","indexId":"70044795","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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: cesium","docAbstract":"The article offers information on cesium, a golden alkali metal derived from the Latin word caesium which means bluish gray. It mentions that cesium is the first element discovered with the use of spectroscopy. It adds that the leading producer and supplier of cesium is Canada and there are 50,000 kilograms of cesium consumed of the world in a year. Moreover, it states that only 85% of the cesium formate can be retrieved and recycled.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Angulo, M.A., 2010, Mineral resource of the month: cesium: Earth, v. 55, no. 3, p. 29-29.","productDescription":"1 p.","startPage":"29","endPage":"29","ipdsId":"IP-018106","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73e8e4b0037667dbc820","contributors":{"authors":[{"text":"Angulo, Marc A.","contributorId":32805,"corporation":false,"usgs":true,"family":"Angulo","given":"Marc","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476326,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044935,"text":"70044935 - 2010 - Earth mineral resource of the month: asbestos","interactions":[],"lastModifiedDate":"2013-05-08T20:01:08","indexId":"70044935","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Earth mineral resource of the month: asbestos","docAbstract":"The article discusses the characteristics and feature of asbestos. According to the author, asbestos is a generic name for six needle-shaped minerals that possess high tensile strengths, flexibility, and resistance to chemical and thermal degradation. These minerals are actinolite, amosite, anthophyllite, chrysolite, crocilodite and tremolite. Asbestos is used for strengthening concrete pipe, plastic components, and gypsum plasters.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Virta, R.L., 2010, Earth mineral resource of the month: asbestos: Earth, v. 55, no. 2, p. 27-27.","productDescription":"1 p.","startPage":"27","endPage":"27","ipdsId":"IP-017589","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73e4e4b0037667dbc7f8","contributors":{"authors":[{"text":"Virta, Robert L. rvirta@usgs.gov","contributorId":395,"corporation":false,"usgs":true,"family":"Virta","given":"Robert","email":"rvirta@usgs.gov","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":476486,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042194,"text":"70042194 - 2010 - Predicting future changes in Muskegon River Watershed game fish distributions under future land cover alteration and climate change scenarios","interactions":[],"lastModifiedDate":"2013-03-12T14:14:24","indexId":"70042194","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Predicting future changes in Muskegon River Watershed game fish distributions under future land cover alteration and climate change scenarios","docAbstract":"Future alterations in land cover and climate are likely to cause substantial changes in the ranges of fish species. Predictive distribution models are an important tool for assessing the probability that these changes will cause increases or decreases in or the extirpation of species. Classification tree models that predict the probability of game fish presence were applied to the streams of the Muskegon River watershed, Michigan. The models were used to study three potential future scenarios: (1) land cover change only, (2) land cover change and a 3°C increase in air temperature by 2100, and (3) land cover change and a 5°C increase in air temperature by 2100. The analysis indicated that the expected change in air temperature and subsequent change in water temperatures would result in the decline of coldwater fish in the Muskegon watershed by the end of the 21st century while cool- and warmwater species would significantly increase their ranges. The greatest decline detected was a 90% reduction in the probability that brook trout Salvelinus fontinalis would occur in Bigelow Creek. The greatest increase was a 276% increase in the probability that northern pike Esox lucius would occur in the Middle Branch River. Changes in land cover are expected to cause large changes in a few fish species, such as walleye Sander vitreus and Chinook salmon Oncorhynchus tshawytscha, but not to drive major changes in species composition. Managers can alter stream environmental conditions to maximize the probability that species will reside in particular stream reaches through application of the classification tree models. Such models represent a good way to predict future changes, as they give quantitative estimates of the n-dimensional niches for particular species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1577/T09-007.1","usgsCitation":"Steen, P.J., Wiley, M., and Schaeffer, J.S., 2010, Predicting future changes in Muskegon River Watershed game fish distributions under future land cover alteration and climate change scenarios: Transactions of the American Fisheries Society, v. 139, no. 2, p. 396-412, https://doi.org/10.1577/T09-007.1.","productDescription":"17 p.","startPage":"396","endPage":"412","ipdsId":"IP-010660","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":475466,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2027.42/141570","text":"External Repository"},{"id":269166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269164,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/T09-007.1"}],"country":"United States","state":"Michigan","otherGeospatial":"Muskegon River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.4,41.7 ], [ -90.4,48.3 ], [ -82.4,48.3 ], [ -82.4,41.7 ], [ -90.4,41.7 ] ] ] } } ] }","volume":"139","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"51404e8de4b089809dbf44c4","contributors":{"authors":[{"text":"Steen, Paul J.","contributorId":12342,"corporation":false,"usgs":true,"family":"Steen","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":470928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiley, Michael J.","contributorId":30112,"corporation":false,"usgs":true,"family":"Wiley","given":"Michael J.","affiliations":[],"preferred":false,"id":470929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaeffer, Jeffrey S.","contributorId":89083,"corporation":false,"usgs":true,"family":"Schaeffer","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":470930,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044794,"text":"70044794 - 2010 - Fire clay","interactions":[],"lastModifiedDate":"2013-04-16T13:07:29","indexId":"70044794","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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":"Fire clay","docAbstract":"Statistics on fire clay consumption, production, prices, and trade in 2009 are presented. Information on the outlook for the fire clay sector is provided.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","publisherLocation":"Englewood, CO","usgsCitation":"Virta, R., 2010, Fire clay: Mining Engineering, v. 62, no. 6, p. 47-48.","productDescription":"2 p.","startPage":"47","endPage":"48","ipdsId":"IP-020256","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516e72eae4b00154e4368bf6","contributors":{"authors":[{"text":"Virta, R.L.","contributorId":39357,"corporation":false,"usgs":true,"family":"Virta","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":476325,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044777,"text":"70044777 - 2010 - Industrial sand and gravel","interactions":[],"lastModifiedDate":"2013-04-28T20:27:42","indexId":"70044777","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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 2009 was about 27 Mt (30 million st), declining by 10 percent compared with 2008. Certain end uses of industrial sand and gravel, such as foundry and glassmaking sand, may have declined by a factor greater than 10 percent in 2009. U.S. apparent consumption was 24.7 Mt (27.2 million st) in 2009, down by 10 percent from the previous year, and imports declined to 83 kt (91,000 st).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Dolley, T., 2010, Industrial sand and gravel: Mining Engineering, v. 62, no. 6, p. 56-56.","productDescription":"1 p.","startPage":"56","endPage":"56","ipdsId":"IP-020417","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517e44eae4b0eff6bc0031c5","contributors":{"authors":[{"text":"Dolley, T.P.","contributorId":24171,"corporation":false,"usgs":true,"family":"Dolley","given":"T.P.","affiliations":[],"preferred":false,"id":476301,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044767,"text":"70044767 - 2010 - Gemstones","interactions":[],"lastModifiedDate":"2013-04-27T20:13:07","indexId":"70044767","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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":"Gemstones","docAbstract":"Information on the gemstones industry in 2009 is presented. Specifically, details on U.S. production of natural gemstones and laboratory-created, simulant, and treated gemstones; consumption and uses of gemstones; gemstone prices; imports and exports of gemstones; and the outlook for the sector are provided.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Olson, D., 2010, Gemstones: Mining Engineering, v. 62, no. 6, p. 50-51.","productDescription":"2 p.","startPage":"50","endPage":"51","ipdsId":"IP-020873","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517cf36ce4b0d8907b2881e3","contributors":{"authors":[{"text":"Olson, D.W.","contributorId":82369,"corporation":false,"usgs":true,"family":"Olson","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":476295,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}