{"pageNumber":"1446","pageRowStart":"36125","pageSize":"25","recordCount":165246,"records":[{"id":70046046,"text":"fs20133026 - 2013 - Streamflow of 2012--Water Year Summary","interactions":[],"lastModifiedDate":"2013-05-23T09:58:04","indexId":"fs20133026","displayToPublicDate":"2013-05-21T00:00:00","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":"2013-3026","title":"Streamflow of 2012--Water Year Summary","docAbstract":"The maps and graphs in this summary describe streamflow conditions for water year 2012 (October 1, 2011, to September 30, 2012) in the context of the 83-year period from 1930 through 2012, unless otherwise noted. The illustrations are based on observed data from the U.S. Geological Survey’s (USGS) National Streamflow Information Program (http://water.usgs.gov/nsip/). The period 1930–2012 was used because, prior to 1930, the number of streamgages was too small to provide representative data for computing statistics for most regions of the country. In the summary, reference is made to the term “runoff,” which is the depth to which a river basin, State, or other geographic area would be covered with water if all the streamflow within the area during a specified time period was uniformly distributed upon it. Runoff quantifies the magnitude of water flowing through the Nation’s rivers and streams in measurement units that can be compared from one area to another.","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133026","usgsCitation":"Jian, X., Wolock, D.M., Lins, H.F., and Brady, S., 2013, Streamflow of 2012--Water Year Summary: U.S. Geological Survey Fact Sheet 2013-3026, 8 p., https://doi.org/10.3133/fs20133026.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-10-01","temporalEnd":"2012-09-30","costCenters":[{"id":410,"text":"National Center","active":false,"usgs":true}],"links":[{"id":272528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133026.gif"},{"id":272526,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3026/fs2013-3026.pdf"},{"id":272527,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3026/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"519c8950e4b0ce6c26df430e","contributors":{"authors":[{"text":"Jian, Xiaodong 0000-0002-9173-3482 xjian@usgs.gov","orcid":"https://orcid.org/0000-0002-9173-3482","contributorId":1282,"corporation":false,"usgs":true,"family":"Jian","given":"Xiaodong","email":"xjian@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":478761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":478760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lins, Harry F. 0000-0001-5385-9247 hlins@usgs.gov","orcid":"https://orcid.org/0000-0001-5385-9247","contributorId":1505,"corporation":false,"usgs":true,"family":"Lins","given":"Harry","email":"hlins@usgs.gov","middleInitial":"F.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":478762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brady, Steve","contributorId":108351,"corporation":false,"usgs":true,"family":"Brady","given":"Steve","email":"","affiliations":[],"preferred":false,"id":478763,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046030,"text":"70046030 - 2013 - The northwest trending north Boquerón Bay-Punta Montalva Fault Zone; A through going active fault system in southwestern Puerto Rico","interactions":[],"lastModifiedDate":"2020-09-21T17:08:16.215541","indexId":"70046030","displayToPublicDate":"2013-05-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The northwest trending north Boquerón Bay-Punta Montalva Fault Zone; A through going active fault system in southwestern Puerto Rico","docAbstract":"The North Boquerón Bay–Punta Montalva fault zone has been mapped crossing the Lajas Valley in southwest Puerto Rico. Identification of the fault was based upon detailed analysis of geophysical data, satellite images, and field mapping. The fault zone consists of a series of Cretaceous bedrock faults that reactivated and deformed Miocene limestone and Quaternary alluvial fan sediments. The fault zone is seismically active (local magnitude greater than 5.0) with numerous locally felt earthquakes. Focal mechanism solutions suggest strain partitioning with predominantly east–west left-lateral displacements with small normal faults striking mostly toward the northeast. Northeast-trending fractures and normal faults can be found in intermittent streams that cut through the Quaternary alluvial fan deposits along the southern margin of the Lajas Valley, an east–west-trending 30-km-long fault-controlled depression. Areas of preferred erosion within the alluvial fan trend toward the west-northwest parallel to the onland projection of the North Boquerón Bay fault. The North Boquerón Bay fault aligns with the Punta Montalva fault southeast of the Lajas Valley. Both faults show strong southward tilting of Miocene strata. On the western end, the Northern Boquerón Bay fault is covered with flat-lying Holocene sediments, whereas at the southern end the Punta Montalva fault shows left-lateral displacement of stream drainage on the order of a few hundred meters.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220120115","usgsCitation":"Howe, C.M., Asencio, E., and Joyce, J., 2013, The northwest trending north Boquerón Bay-Punta Montalva Fault Zone; A through going active fault system in southwestern Puerto Rico: Seismological Research Letters, v. 84, no. 3, p. 538-550, https://doi.org/10.1785/0220120115.","productDescription":"13 p.","startPage":"538","endPage":"550","numberOfPages":"13","additionalOnlineFiles":"N","ipdsId":"IP-027345","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":272517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.41,17.75 ], [ -67.41,19.03 ], [ -65.53,19.03 ], [ -65.53,17.75 ], [ -67.41,17.75 ] ] ] } } ] }","volume":"84","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-05-03","publicationStatus":"PW","scienceBaseUri":"519c8958e4b0ce6c26df4316","contributors":{"authors":[{"text":"Howe, Coral Marie 0000-0002-3040-719X","orcid":"https://orcid.org/0000-0002-3040-719X","contributorId":21847,"corporation":false,"usgs":true,"family":"Howe","given":"Coral","middleInitial":"Marie","affiliations":[],"preferred":false,"id":478723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asencio, Eugenio","contributorId":44182,"corporation":false,"usgs":true,"family":"Asencio","given":"Eugenio","email":"","affiliations":[],"preferred":false,"id":478724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Joyce, James","contributorId":72426,"corporation":false,"usgs":true,"family":"Joyce","given":"James","affiliations":[],"preferred":false,"id":478725,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70119412,"text":"70119412 - 2013 - Space can substitute for time in predicting climate-change effects on biodiversity","interactions":[],"lastModifiedDate":"2014-08-12T14:21:58","indexId":"70119412","displayToPublicDate":"2013-05-20T09:16:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Space can substitute for time in predicting climate-change effects on biodiversity","docAbstract":"“Space-for-time” substitution is widely used in biodiversity modeling to infer past or future trajectories of ecological systems from contemporary spatial patterns. However, the foundational assumption—that drivers of spatial gradients of species composition also drive temporal changes in diversity—rarely is tested. Here, we empirically test the space-for-time assumption by constructing orthogonal datasets of compositional turnover of plant taxa and climatic dissimilarity through time and across space from Late Quaternary pollen records in eastern North America, then modeling climate-driven compositional turnover. Predictions relying on space-for-time substitution were ∼72% as accurate as “time-for-time” predictions. However, space-for-time substitution performed poorly during the Holocene when temporal variation in climate was small relative to spatial variation and required subsampling to match the extent of spatial and temporal climatic gradients. Despite this caution, our results generally support the judicious use of space-for-time substitution in modeling community responses to climate change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Academy of Sciences","publisherLocation":"Washington, D.C.","doi":"10.1073/pnas.1220228110","usgsCitation":"Blois, J.L., Williams, J.W., Fitzpatrick, M.C., Jackson, S.T., and Ferrier, S., 2013, Space can substitute for time in predicting climate-change effects on biodiversity: Proceedings of the National Academy of Sciences, v. 110, no. 23, p. 9374-9379, https://doi.org/10.1073/pnas.1220228110.","productDescription":"6 p.","startPage":"9374","endPage":"9379","numberOfPages":"6","ipdsId":"IP-043642","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":473818,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1220228110","text":"External Repository"},{"id":291810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291806,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1220228110"}],"otherGeospatial":"North America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.1,24.7 ], [ -97.1,74.2 ], [ -52.3,74.2 ], [ -52.3,24.7 ], [ -97.1,24.7 ] ] ] } } ] }","volume":"110","issue":"23","noUsgsAuthors":false,"publicationDate":"2013-05-20","publicationStatus":"PW","scienceBaseUri":"53e492cfe4b0fff40428a5f2","contributors":{"authors":[{"text":"Blois, Jessica L.","contributorId":35245,"corporation":false,"usgs":true,"family":"Blois","given":"Jessica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":497672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, John W.","contributorId":16761,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":497671,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzpatrick, Matthew C.","contributorId":53299,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Matthew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":497673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":497669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferrier, Simon","contributorId":13154,"corporation":false,"usgs":true,"family":"Ferrier","given":"Simon","affiliations":[],"preferred":false,"id":497670,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042145,"text":"70042145 - 2013 - White-nose syndrome in bats: Illuminating the darkness","interactions":[],"lastModifiedDate":"2017-10-26T09:54:02","indexId":"70042145","displayToPublicDate":"2013-05-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":953,"text":"BMC Biology","active":true,"publicationSubtype":{"id":10}},"title":"White-nose syndrome in bats: Illuminating the darkness","docAbstract":"

Happy ten-year anniversary to BMC Biology! We can attest to the effectiveness of the journal in reaching a great diversity of scientists based on reader responses to our commentary [1] about bat white-nose syndrome (WNS) two years ago. WNS is still on course to rank among the most destructive wildlife diseases to emerge in recent history, and it has continued to have unprecedented effects on populations of hibernating bats in eastern North America. At the time of our last writing in November 2010, the cold-adapted fungus then presumed to cause WNS (Geomyces destructans) had spread about 1,300 km from an index site in New York (Figure 1). In those early years of the epizootic, WNS caused a staggering wave of mass mortality among all six species of hibernating bats that occur in north-eastern North America. Since November 2010, WNS has spread into eight additional US states and two more Canadian provinces (Figure 1), and has continued to cause mortality in those six species most affected during the early years of the epizootic. Although part of a mostly tragic story has continued to unfold as new areas are affected, anecdotal signs are emerging that all may not be lost when it comes to hibernating bats and WNS. Amid the continued large-scale population declines of certain species, we have yet to see mass mortality in some of the more westerly areas where the fungus was detected two winters ago (Figure 1). Also, recently disease without obvious mortality was diagnosed in gray bats (Myotis grisescens) - an endangered species thought by many two years ago to be at high risk of extinction from WNS. Clearly, large gaps in our understanding of WNS remain, but some have been filled since we last communicated with readers of BMC Biology.

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cmeteyer@usgs.gov","orcid":"https://orcid.org/0000-0002-4007-3410","contributorId":111,"corporation":false,"usgs":true,"family":"Meteyer","given":"Carol","email":"cmeteyer@usgs.gov","middleInitial":"U.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":470848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyles, Justin G.","contributorId":26810,"corporation":false,"usgs":true,"family":"Boyles","given":"Justin","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":470850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":1816,"corporation":false,"usgs":true,"family":"Blehert","given":"David S.","email":"dblehert@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":470849,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046023,"text":"ofr20131088 - 2013 - Saltwater intrusion in the surficial aquifer system of the Big Cypress Basin, southwest Florida, and a proposed plan for improved salinity monitoring","interactions":[],"lastModifiedDate":"2013-05-20T13:18:14","indexId":"ofr20131088","displayToPublicDate":"2013-05-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1088","title":"Saltwater intrusion in the surficial aquifer system of the Big Cypress Basin, southwest Florida, and a proposed plan for improved salinity monitoring","docAbstract":"The installation of drainage canals, poorly cased wells, and water-supply withdrawals have led to saltwater intrusion in the primary water-use aquifers in southwest Florida. Increasing population and water use have exacerbated this problem. Installation of water-control structures, well-plugging projects, and regulation of water use have slowed saltwater intrusion, but the chloride concentration of samples from some of the monitoring wells in this area indicates that saltwater intrusion continues to occur. In addition, rising sea level could increase the rate and extent of saltwater intrusion.\n\nThe existing saltwater intrusion monitoring network was examined and found to lack the necessary organization, spatial distribution, and design to properly evaluate saltwater intrusion. The most recent hydrogeologic framework of southwest Florida indicates that some wells may be open to multiple aquifers or have an incorrect aquifer designation. Some of the sampling methods being used could result in poor-quality data. Some older wells are badly corroded, obstructed, or damaged and may not yield useable samples. Saltwater in some of the canals is in close proximity to coastal well fields. In some instances, saltwater occasionally occurs upstream from coastal salinity control structures.\n\nThese factors lead to an incomplete understanding of the extent and threat of saltwater intrusion in southwest Florida. A proposed plan to improve the saltwater intrusion monitoring network in the South Florida Water Management District’s Big Cypress Basin describes improvements in (1) network management, (2) quality assurance, (3) documentation, (4) training, and (5) data accessibility. The plan describes improvements to hydrostratigraphic and geospatial network coverage that can be accomplished using additional monitoring, surface geophysical surveys, and borehole geophysical logging. Sampling methods and improvements to monitoring well design are described in detail. Geochemical analyses that provide insights concerning the sources of saltwater in the aquifers are described. The requirement to abandon inactive wells is discussed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131088","collaboration":"Prepared in cooperation with the South Florida Water Management District","usgsCitation":"Prinos, S.T., 2013, Saltwater intrusion in the surficial aquifer system of the Big Cypress Basin, southwest Florida, and a proposed plan for improved salinity monitoring: U.S. Geological Survey Open-File Report 2013-1088, viii, 58 p.; Downloads; 2 Appendix Figures; Tables for Appendix 2, https://doi.org/10.3133/ofr20131088.","productDescription":"viii, 58 p.; Downloads; 2 Appendix Figures; Tables for Appendix 2","numberOfPages":"70","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":272423,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1088/Downloads/Appendix_Figure_1-1.pdf"},{"id":272424,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1088/Downloads/Appendix_Figure_1-2.pdf"},{"id":272430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131088.gif"},{"id":272426,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1088/Downloads/Appendix_Tables_2-1_through_2-6.xlsx"},{"id":272417,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1088/"},{"id":272419,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1088/pdf/ofr2013-1088.pdf"},{"id":272420,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1088/Downloads"}],"country":"United States","state":"Florida","otherGeospatial":"Big Cypress Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.63,24.52 ], [ -87.63,31.0 ], [ -80.0,31.0 ], [ -80.0,24.52 ], [ -87.63,24.52 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"519b37dce4b0e4e151ef5cc6","contributors":{"authors":[{"text":"Prinos, Scott T. 0000-0002-5776-8956 stprinos@usgs.gov","orcid":"https://orcid.org/0000-0002-5776-8956","contributorId":4045,"corporation":false,"usgs":true,"family":"Prinos","given":"Scott","email":"stprinos@usgs.gov","middleInitial":"T.","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true},{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":478716,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046020,"text":"70046020 - 2013 - Intragenomic sequence variation at the ITS1 - ITS2 region and at the 18S and 28S nuclear ribosomal DNA genes of the New Zealand mud snail, Potamopyrgus antipodarum (Hydrobiidae: mollusca)","interactions":[],"lastModifiedDate":"2016-05-04T15:49:05","indexId":"70046020","displayToPublicDate":"2013-05-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2393,"text":"Journal of Molluscan Studies","active":true,"publicationSubtype":{"id":10}},"title":"Intragenomic sequence variation at the ITS1 - ITS2 region and at the 18S and 28S nuclear ribosomal DNA genes of the New Zealand mud snail, Potamopyrgus antipodarum (Hydrobiidae: mollusca)","docAbstract":"

Molecular genetic analysis was conducted on two populations of the invasive non-native New Zealand mud snail (Potamopyrgus antipodarum), one from a freshwater ecosystem in Devil's Lake (Oregon, USA) and the other from an ecosystem of higher salinity in the Columbia River estuary (Hammond Harbor, Oregon, USA). To elucidate potential genetic differences between the two populations, three segments of nuclear ribosomal DNA (rDNA), the ITS1-ITS2 regions and the 18S and 28S rDNA genes were cloned and sequenced. Variant sequences within each individual were found in all three rDNA segments. Folding models were utilized for secondary structure analysis and results indicated that there were many sequences which contained structure-altering polymorphisms, which suggests they could be nonfunctional pseudogenes. In addition, analysis of molecular variance (AMOVA) was used for hierarchical analysis of genetic variance to estimate variation within and among populations and within individuals. AMOVA revealed significant variation in the ITS region between the populations and among clones within individuals, while in the 5.8S rDNA significant variation was revealed among individuals within the two populations. High levels of intragenomic variation were found in the ITS regions, which are known to be highly variable in many organisms. More interestingly, intragenomic variation was also found in the 18S and 28S rDNA, which has rarely been observed in animals and is so far unreported in Mollusca. We postulate that in these P. antipodarum populations the effects of concerted evolution are diminished due to the fact that not all of the rDNA genes in their polyploid genome should be essential for sustaining cellular function. This could lead to a lessening of selection pressures, allowing mutations to accumulate in some copies, changing them into variant sequences.                   

","language":"English","publisher":"Oxford University Press","doi":"10.1093/mollus/eyt016","usgsCitation":"Hoy, M.S., and Rodriguez, R.J., 2013, Intragenomic sequence variation at the ITS1 - ITS2 region and at the 18S and 28S nuclear ribosomal DNA genes of the New Zealand mud snail, Potamopyrgus antipodarum (Hydrobiidae: mollusca): Journal of Molluscan Studies, v. 79, no. 3, p. 205-217, https://doi.org/10.1093/mollus/eyt016.","productDescription":"13 p.","startPage":"205","endPage":"217","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042637","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473819,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/mollus/eyt016","text":"Publisher Index Page"},{"id":272507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272504,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/mollus/eyt016"}],"volume":"79","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-05-16","publicationStatus":"PW","scienceBaseUri":"519b37dbe4b0e4e151ef5cc2","contributors":{"authors":[{"text":"Hoy, Marshal S. 0000-0003-2828-9697 mhoy@usgs.gov","orcid":"https://orcid.org/0000-0003-2828-9697","contributorId":3033,"corporation":false,"usgs":true,"family":"Hoy","given":"Marshal","email":"mhoy@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":478708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Rusty J.","contributorId":62497,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Rusty","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":478709,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046022,"text":"ofr20131071 - 2013 - High-resolution seismic-reflection and marine-magnetic data from offshore central California--San Gregorio to Point Sur","interactions":[],"lastModifiedDate":"2013-05-20T21:08:43","indexId":"ofr20131071","displayToPublicDate":"2013-05-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1071","title":"High-resolution seismic-reflection and marine-magnetic data from offshore central California--San Gregorio to Point Sur","docAbstract":"The U.S. Geological Survey collected high-resolution seismic-reflection data on four surveys (S-N1-09-MB, S-15-10-NC, S-06-11-MB, and S-04-12-MB) and marine-magnetic data on one survey (S-06-11-MB) between 2009 and 2012, offshore of central California between San Gregorio and Point Sur. This work was supported in part by the California Seafloor Mapping Program.\n\nThe survey areas span about 120 km of California's coast (including Monterey Bay). Most data were collected aboard the U.S. Geological Survey R/V Parke Snavely. Cumulatively, approximately 1,410 km of single-channel seismic-reflection data were acquired, mainly using a SIG 2mille minisparker. About 44 km of data were collected simultaneously using an EdgeTech Chirp 512. Subbottom acoustic penetration spanned tens to several hundreds of meters, variable by location. Marine magnetic data were collected on approximately 460 km of track lines (mainly in southern Monterey Bay) using a Geometrics G882 cesium-vapor marine magnetometer.\n\nThis report includes maps and navigation files of the surveyed transects, linked to Google Earth™ software, as well as digital data files showing images of each transect in SEG-Y and JPEG formats. The images of bedrock, sediment deposits, and tectonic structure provide geologic information that is essential to hazard assessment, regional sediment management, and coastal and marine spatial planning at Federal, State and local levels, as well as to future research on the geomorphic, sedimentary, tectonic, and climatic record of central California.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131071","usgsCitation":"Sliter, R.W., Johnson, S.Y., Watt, J.T., Scheirer, D., Allwardt, P., and Triezenberg, P., 2013, High-resolution seismic-reflection and marine-magnetic data from offshore central California--San Gregorio to Point Sur: U.S. Geological Survey Open-File Report 2013-1071, HTML Document, https://doi.org/10.3133/ofr20131071.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":272391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131071.jpg"},{"id":272390,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1071/"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.0 ], [ -114.13,42.0 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"519b37dbe4b0e4e151ef5cbe","contributors":{"authors":[{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":478710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":478712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watt, Janet T. 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":8564,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":478713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scheirer, Daniel S. dscheirer@usgs.gov","contributorId":2325,"corporation":false,"usgs":true,"family":"Scheirer","given":"Daniel S.","email":"dscheirer@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":478711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allwardt, Parker","contributorId":82599,"corporation":false,"usgs":true,"family":"Allwardt","given":"Parker","affiliations":[],"preferred":false,"id":478715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Triezenberg, Peter J.","contributorId":32625,"corporation":false,"usgs":true,"family":"Triezenberg","given":"Peter J.","affiliations":[],"preferred":false,"id":478714,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70046019,"text":"sim3255 - 2013 - Flood-inundation maps for the East Fork White River at Columbus, Indiana","interactions":[],"lastModifiedDate":"2013-05-20T13:25:17","indexId":"sim3255","displayToPublicDate":"2013-05-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3255","title":"Flood-inundation maps for the East Fork White River at Columbus, Indiana","docAbstract":"Digital flood-inundation maps for a 5.4-mile reach of the East Fork White River at Columbus, Indiana, from where the Flatrock and Driftwood Rivers combine to make up East Fork White River to just upstream of the confluence of Clifty Creek with the East Fork White River, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation, depict estimates of the areal extent of flooding corresponding to selected water levels (stages) at USGS streamgage 03364000, East Fork White River at Columbus, Indiana. Current conditions at the USGS streamgage may be obtained on the Internet from the USGS National Water Information System (http://waterdata.usgs.gov/in/nwis/uv/?site_no=03364000&agency_cd=USGS&). The National Weather Service (NWS) forecasts flood hydrographs for the East Fork White River at Columbus, Indiana at their Advanced Hydrologic Prediction Service (AHPS) flood warning system Website (http://water.weather.gov/ahps/), that may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The hydraulic model was calibrated by using the most current stage-discharge relation at USGS streamgage 03364000, East Fork White River at Columbus, Indiana. The calibrated hydraulic model was then used to determine 15 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from bankfull to approximately the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from Light Detection and Ranging (LiDAR) data), having a 0.37-ft vertical accuracy and a 1.02 ft horizontal accuracy), in order to delineate the area flooded at each water level. The availability of these maps, along with Internet information regarding current stage from the USGS streamgage at Columbus, Indiana, and forecasted stream stages from the NWS will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3255","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Lombard, P., 2013, Flood-inundation maps for the East Fork White River at Columbus, Indiana: U.S. Geological Survey Scientific Investigations Map 3255, Pamphlet: vi, 7 p.; Map Sheets: 15 JPEGs, 15 PDFs 17 x 22 inches; Downloads Directory; Readme; Metadata, https://doi.org/10.3133/sim3255.","productDescription":"Pamphlet: vi, 7 p.; Map Sheets: 15 JPEGs, 15 PDFs 17 x 22 inches; Downloads Directory; 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The emerging wildlife disease white-nose syndrome is causing widespread mortality in hibernating North American bats. White-nose syndrome occurs when the fungus Geomyces destructans infects the living skin of bats during hibernation, but links between infection and mortality are underexplored. We analyzed blood from hibernating bats and compared blood electrolyte levels to wing damage caused by the fungus. Sodium and chloride tended to decrease as wing damage increased in severity. Depletion of these electrolytes suggests that infected bats may become hypotonically dehydrated during winter. Although bats regularly arouse from hibernation to drink during winter, water available in hibernacula may not contain sufficient electrolytes to offset winter losses caused by disease. Damage to bat wings from G. destructans may cause life-threatening electrolyte imbalances.

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2011","interactions":[],"lastModifiedDate":"2020-02-26T17:45:28","indexId":"sir20135010","displayToPublicDate":"2013-05-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5010","title":"Analysis of environmental setting, surface-water and groundwater data, and data gaps for the Citizen Potawatomi Nation Tribal Jurisdictional Area, Oklahoma, through 2011","docAbstract":"The Citizen Potawatomi Nation Tribal Jurisdictional Area, consisting of approximately 960 square miles in parts of three counties in central Oklahoma, has an abundance of water resources, being underlain by three principal aquifers (alluvial/terrace, Central Oklahoma, and Vamoosa-Ada), bordered by two major rivers (North Canadian and Canadian), and has several smaller drainages. The Central Oklahoma aquifer (also referred to as the Garber-Wellington aquifer) underlies approximately 3,000 square miles in central Oklahoma in parts of Cleveland, Logan, Lincoln, Oklahoma, and Pottawatomie Counties and much of the tribal jurisdictional area. Water from these aquifers is used for municipal, industrial, commercial, agricultural, and domestic supplies.\n\nThe approximately 115,000 people living in this area used an estimated 4.41 million gallons of fresh groundwater, 12.12 million gallons of fresh surface water, and 8.15 million gallons of saline groundwater per day in 2005. Approximately 8.48, 2.65, 2.24, 1.55, 0.83, and 0.81 million gallons per day of that water were used for domestic, livestock, commercial, industrial, crop irrigation, and thermoelectric purposes, respectively. Approximately one-third of the water used in 2005 was saline water produced during petroleum production. Future changes in use of freshwater in this area will be affected primarily by changes in population and agricultural practices. Future changes in saline water use will be affected substantially by changes in petroleum production. Parts of the area periodically are subject to flooding and severe droughts that can limit available water resources, particularly during summers, when water use increases and streamflows substantially decrease.\n\nMost of the area is characterized by rural types of land cover such as grassland, pasture/hay fields, and deciduous forest, which may limit negative effects on water quality by human activities because of lesser emissions of man-made chemicals on such areas than in more urbanized areas. Much of the water in the area is of good quality, though some parts of this area have water quality impaired by very hard surface water and groundwater; large chloride concentrations in some smaller streams; relatively large concentrations of nutrients and counts of fecal-indicator bacteria in the North Canadian River; and chloride, iron, manganese, and uranium concentrations that exceed primary or secondary drinking-water standards in water samples collected from small numbers of wells.\n\nSubstantial amounts of hydrologic and water-quality data have been collected in much of this area, but there are gaps in those data caused by relatively few streamflow-gaging stations, uneven distribution of surface-water quality sampling sites, lack of surface-water quality sampling at high-flow and low-flow conditions, and lack of a regularly measured and sampled groundwater network. This report summarizes existing water-use, climatic, geographic, hydrologic, and water-quality data and describes several means of filling gaps in hydrologic data for this area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135010","collaboration":"Prepared in cooperation with the Citizen Potawatomi Nation","usgsCitation":"Andrews, W.J., Harich, C.R., Smith, S.J., Lewis, J.M., Shivers, M.J., Seger, C.H., and Becker, C., 2013, Analysis of environmental setting, surface-water and groundwater data, and data gaps for the Citizen Potawatomi Nation Tribal Jurisdictional Area, Oklahoma, through 2011: U.S. Geological Survey Scientific Investigations Report 2013-5010, x, 102 p., https://doi.org/10.3133/sir20135010.","productDescription":"x, 102 p.","numberOfPages":"116","additionalOnlineFiles":"N","temporalStart":"1943-01-01","temporalEnd":"2011-09-30","ipdsId":"IP-041340","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":272365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135010.gif"},{"id":272363,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5010/"},{"id":272364,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5010/sir2013-5010.pdf"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Potawatomi Nation Tribal Jurisdictional Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.152099609375,\n 34.912962495216966\n ],\n [\n -96.767578125,\n 34.912962495216966\n ],\n [\n -96.767578125,\n 35.46514408578589\n ],\n [\n -97.152099609375,\n 35.46514408578589\n ],\n [\n -97.152099609375,\n 34.912962495216966\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"519894dbe4b0eb382b44ac47","contributors":{"authors":[{"text":"Andrews, William J. 0000-0003-4780-8835 wandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":328,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"wandrews@usgs.gov","middleInitial":"J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harich, Christopher R. charich@usgs.gov","contributorId":3917,"corporation":false,"usgs":true,"family":"Harich","given":"Christopher","email":"charich@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":478695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Jason M. 0000-0001-5337-1890 jmlewis@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1890","contributorId":3854,"corporation":false,"usgs":true,"family":"Lewis","given":"Jason","email":"jmlewis@usgs.gov","middleInitial":"M.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shivers, Molly J. mshivers@usgs.gov","contributorId":4062,"corporation":false,"usgs":true,"family":"Shivers","given":"Molly","email":"mshivers@usgs.gov","middleInitial":"J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Seger, Christian H.","contributorId":34799,"corporation":false,"usgs":true,"family":"Seger","given":"Christian","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":478697,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Becker, Carol 0000-0001-6652-4542 cjbecker@usgs.gov","orcid":"https://orcid.org/0000-0001-6652-4542","contributorId":2489,"corporation":false,"usgs":true,"family":"Becker","given":"Carol","email":"cjbecker@usgs.gov","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478693,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70046016,"text":"sir20135038 - 2013 - Investigation of the structure and lithology of bedrock concealed by basin fill, using ground-based magnetic-field-profile data acquired in the San Rafael Basin, southeastern Arizona","interactions":[],"lastModifiedDate":"2023-06-05T15:24:39.969302","indexId":"sir20135038","displayToPublicDate":"2013-05-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5038","title":"Investigation of the structure and lithology of bedrock concealed by basin fill, using ground-based magnetic-field-profile data acquired in the San Rafael Basin, southeastern Arizona","docAbstract":"Data on the Earth’s total-intensity magnetic field acquired near ground level and at measurement intervals as small as 1 m include information on the spatial distribution of nearsurface magnetic dipoles that in many cases are unique to a specific lithology. Such spatial information is expressed in the texture (physical appearance or characteristics) of the data at scales of hundreds of meters to kilometers. These magnetic textures are characterized by several descriptive statistics, their power spectrum, and their multifractal spectrum. On the basis of a graphical comparison and textural characterization, ground-based magnetic-field profile data can be used to estimate bedrock lithology concealed by as much as 100 m of basin fill in some cases, information that is especially important in assessing and exploring for concealed mineral deposits. I demonstrate that multifractal spectra of ground-based magnetic-field-profile data can be used to differentiate exposed lithologies and that the shape and position of the multifractal spectrum of the ground-based magnetic-field-profile of concealed lithologies can be matched to the upward-continued multifractal spectrum of an exposed lithology to help distinguish the concealed lithology.\n\nIn addition, ground-based magnetic-field-profile data also detect minute differences in the magnetic susceptibility of rocks over small horizontal and vertical distances and so can be used for precise modeling of bedrock geometry and structure, even when that bedrock is concealed by 100 m or more of nonmagnetic basin fill. Such data contain valuable geologic information on the bedrock concealed by basin fill that may not be so visible in aeromagnetic data, including areas of hydrothermal alteration, faults, and other bedrock structures. Interpretation of these data in the San Rafael Basin, southeastern Arizona, has yielded results for estimating concealed lithologies, concealed structural geology, and a concealed potential mineral-resource target.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135038","usgsCitation":"Bultman, M.W., 2013, Investigation of the structure and lithology of bedrock concealed by basin fill, using ground-based magnetic-field-profile data acquired in the San Rafael Basin, southeastern Arizona: U.S. Geological Survey Scientific Investigations Report 2013-5038, iv, 26 p., https://doi.org/10.3133/sir20135038.","productDescription":"iv, 26 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":272359,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135038.png"},{"id":272358,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5038/sir2013-5038.pdf"},{"id":272357,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5038/"}],"country":"United States","state":"Arizona","otherGeospatial":"San Rafael Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.0,37.0 ], [ -109.0,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51989519e4b0eb382b44ac53","contributors":{"authors":[{"text":"Bultman, Mark W. 0000-0001-8352-101X mbultman@usgs.gov","orcid":"https://orcid.org/0000-0001-8352-101X","contributorId":3348,"corporation":false,"usgs":true,"family":"Bultman","given":"Mark","email":"mbultman@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":478698,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046017,"text":"ofr20131113 - 2013 - Methods and spatial extent of geophysical Investigations, Mono Lake, California, 2009 to 2011","interactions":[],"lastModifiedDate":"2023-06-05T15:25:59.424641","indexId":"ofr20131113","displayToPublicDate":"2013-05-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1113","title":"Methods and spatial extent of geophysical Investigations, Mono Lake, California, 2009 to 2011","docAbstract":"This report summarizes the methods and spatial extent of geophysical surveys conducted on Mono Lake and Paoha Island by U.S. Geological Survey during 2009 and 2011. The surveys include acquisition of new high resolution seismic reflection data, shipborne high resolution magnetic data, and ground magnetic and gravity data on Paoha Island. Several trials to acquire swath bathymetry and side scan sonar were conducted, but were largely unsuccessful likely due to physical properties of the water column and (or) physical properites of the highly organic bottom sediment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131113","usgsCitation":"Jayko, A.S., Hart, P., Childs, J., Cormier, M., Ponce, D., Athens, N., and McClain, J.S., 2013, Methods and spatial extent of geophysical Investigations, Mono Lake, California, 2009 to 2011: U.S. Geological Survey Open-File Report 2013-1113, vi, 18 p., https://doi.org/10.3133/ofr20131113.","productDescription":"vi, 18 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":668,"text":"Western Region Geology","active":false,"usgs":true}],"links":[{"id":272362,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131113.png"},{"id":272361,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1113/of2013-1113.pdf"},{"id":272360,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1113/"}],"country":"United States","state":"California","otherGeospatial":"Mono Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.1486,37.9404 ], [ -119.1486,38.0749 ], [ -118.9089,38.0749 ], [ -118.9089,37.9404 ], [ -119.1486,37.9404 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51989519e4b0eb382b44ac57","contributors":{"authors":[{"text":"Jayko, A. S. 0000-0002-7378-0330","orcid":"https://orcid.org/0000-0002-7378-0330","contributorId":18011,"corporation":false,"usgs":true,"family":"Jayko","given":"A.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":478700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, P. E.","contributorId":10773,"corporation":false,"usgs":true,"family":"Hart","given":"P. E.","affiliations":[],"preferred":false,"id":478699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Childs, J.R.","contributorId":63011,"corporation":false,"usgs":true,"family":"Childs","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":478702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cormier, M.-H.","contributorId":30856,"corporation":false,"usgs":true,"family":"Cormier","given":"M.-H.","email":"","affiliations":[],"preferred":false,"id":478701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ponce, D. A. 0000-0003-4785-7354","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":104019,"corporation":false,"usgs":true,"family":"Ponce","given":"D. A.","affiliations":[],"preferred":false,"id":478705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Athens, N. D.","contributorId":74271,"corporation":false,"usgs":true,"family":"Athens","given":"N. D.","affiliations":[],"preferred":false,"id":478703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McClain, J. S.","contributorId":75412,"corporation":false,"usgs":true,"family":"McClain","given":"J.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":478704,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70046018,"text":"ds694 - 2013 - Bathymetric surveys of the Kootenai River near Bonners Ferry, Idaho, water year 2011","interactions":[],"lastModifiedDate":"2013-06-04T13:25:34","indexId":"ds694","displayToPublicDate":"2013-05-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"694","title":"Bathymetric surveys of the Kootenai River near Bonners Ferry, Idaho, water year 2011","docAbstract":"In 2009, the Kootenai Tribe of Idaho released and implemented the Kootenai River Habitat Restoration Master Plan. This plan aimed to restore, enhance, and maintain the Kootenai River habitat and landscape to support and sustain habitat conditions for aquatic species and animal populations. In support of these restoration efforts, the U.S. Geological Survey, in cooperation with the Kootenai Tribe of Idaho, conducted high-resolution multibeam echosounder bathymetric surveys in May, June, and July 2011, as a baseline bathymetric monitoring survey on the Kootenai River near Bonners Ferry, Idaho. Three channel patterns or reaches exist in the study area—braided, meander, and a transitional zone connecting the braided and meander reaches. Bathymetric data were collected at three study areas in 2011 to provide: (1) surveys in unmapped portions of the meander reach; (2) monitoring of the presence and extent of sand along planned lines within a section of the meander reach; and (3) monitoring aggradation and degradation of the channel bed at specific cross sections within the braided reach and transitional zone. The bathymetric data will be used to update and verify flow models, calibrate and verify sediment transport modeling efforts, and aid in the biological assessment in support of the Kootenai River Habitat Restoration Master Plan. The data and planned lines for each study reach were produced in ASCII XYZ format supported by most geospatial software.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds694","collaboration":"Prepared in cooperation with the Kootenai Tribe of Idaho","usgsCitation":"Fosness, R.L., 2013, Bathymetric surveys of the Kootenai River near Bonners Ferry, Idaho, water year 2011: U.S. Geological Survey Data Series 694, iv, 26 p.; 6 Appendixes; 3 Metadata, https://doi.org/10.3133/ds694.","productDescription":"iv, 26 p.; 6 Appendixes; 3 Metadata","numberOfPages":"34","additionalOnlineFiles":"Y","temporalStart":"2010-10-01","temporalEnd":"2011-09-30","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":272377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds694.jpg"},{"id":272368,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/694/data/ds694_appendixA.xlsx"},{"id":272366,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/694/"},{"id":272367,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/694/pdf/ds694.pdf"},{"id":272369,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/694/data/ds694_appendixB.xlsx"},{"id":272370,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/694/data/ds694_appendixC.xlsx"},{"id":272371,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/694/data/ds694_appendixD.xlsx"},{"id":272372,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/694/data/ds694_appendixE.xlsx"},{"id":272373,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/694/data/ds694_appendixF.xlsx"},{"id":272374,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/lookup/getspatial?ds694_meander_reach_2011"},{"id":272375,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/lookup/getspatial?ds694_substrate_enhancement_2011"},{"id":272376,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/lookup/getspatial?ds694_braided_reach_2011"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.2,42.0 ], [ -117.2,49.0 ], [ -111.0,49.0 ], [ -111.0,42.0 ], [ -117.2,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"519894dbe4b0eb382b44ac4b","contributors":{"authors":[{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478706,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70045991,"text":"70045991 - 2013 - Chemical transfers along slowly eroding catenas developed on granitic cratons in southern Africa","interactions":[],"lastModifiedDate":"2013-05-18T17:27:01","indexId":"70045991","displayToPublicDate":"2013-05-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Chemical transfers along slowly eroding catenas developed on granitic cratons in southern Africa","docAbstract":"A catena is a series of distinct but co-evolving soils arrayed along a slope. On low-slope, slowly eroding catenas the redistribution of mass occurs predominantly as plasma, the dissolved and suspended constituents in soil water. We applied mass balance methods to track how redistribution via plasma contributed to physical and geochemical differentiation of nine slowly eroding (~ 5 mm ky− 1) granitic catenas. The catenas were arrayed in a 3 × 3 climate by relief matrix and located in Kruger National Park, South Africa. Most of the catenas contained at least one illuviated soil profile that had undergone more volumetric expansion and less mass loss, and these soils were located in the lower halves of the slopes. By comparison, the majority of slope positions were eluviated. Soils from the wetter climates (550 and 730 mm precipitation yr− 1) generally had undergone greater collapse and lost more mass, while soils in the drier climate (470 mm yr− 1) had undergone expansion and lost less mass. Effects of differences in catena relief were less clear. Within each climate zone, soil horizon mass loss and strain were correlated, as were losses of most major elements, illustrating the predominant influence of primary mineral weathering. Nevertheless, mass loss and volumetric collapse did not become extreme because of the skeleton of resistant primary mineral grains inherited from the granite. Colloidal clay redistribution, as traced by the ratio of Ti to Zr in soil, suggested clay losses via suspension from catena eluvial zones. Thus illuviation of colloidal clays into downslope soils may be crucial to catena development by restricting subsurface flow there. Our analysis provides quantitative support for the conceptual understanding of catenas in cratonic landscapes and provides an endmember reference point in understanding the development of slowly eroding soil landscapes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geoderma","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2013.03.023","usgsCitation":"Khomo, L., Bern, C., Hartshorn, A.S., Rogers, K.H., and Chadwick, O.A., 2013, Chemical transfers along slowly eroding catenas developed on granitic cratons in southern Africa: Geoderma, v. 202-203, p. 192-202, https://doi.org/10.1016/j.geoderma.2013.03.023.","productDescription":"11 p.","startPage":"192","endPage":"202","ipdsId":"IP-039308","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":272381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272380,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geoderma.2013.03.023"}],"otherGeospatial":"Africa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -26.6,-37.5 ], [ -26.6,38.0 ], [ 60.6,38.0 ], [ 60.6,-37.5 ], [ -26.6,-37.5 ] ] ] } } ] }","volume":"202-203","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"519894dce4b0eb382b44ac4f","contributors":{"authors":[{"text":"Khomo, Lesego","contributorId":58921,"corporation":false,"usgs":true,"family":"Khomo","given":"Lesego","affiliations":[],"preferred":false,"id":478654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bern, Carleton R.","contributorId":59325,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton R.","affiliations":[],"preferred":false,"id":478655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartshorn, Anthony S.","contributorId":31285,"corporation":false,"usgs":true,"family":"Hartshorn","given":"Anthony","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":478653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rogers, Kevin H.","contributorId":64536,"corporation":false,"usgs":true,"family":"Rogers","given":"Kevin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":478656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chadwick, Oliver A.","contributorId":88244,"corporation":false,"usgs":false,"family":"Chadwick","given":"Oliver","email":"","middleInitial":"A.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":478657,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046010,"text":"70046010 - 2013 - A global standard for monitoring coastal wetland vulnerability to accelerated sea-level rise","interactions":[],"lastModifiedDate":"2013-05-18T17:08:43","indexId":"70046010","displayToPublicDate":"2013-05-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"A global standard for monitoring coastal wetland vulnerability to accelerated sea-level rise","docAbstract":"Sea-level rise threatens coastal salt-marshes and mangrove forests around the world, and a key determinant of coastal wetland vulnerability is whether its surface elevation can keep pace with rising sea level. Globally, a large data gap exists because wetland surface and shallow subsurface processes remain unaccounted for by traditional vulnerability assessments using tide gauges. Moreover, those processes vary substantially across wetlands, so modelling platforms require relevant local data. The low-cost, simple, high-precision rod surface-elevation table–marker horizon (RSET-MH) method fills this critical data gap, can be paired with spatial data sets and modelling and is financially and technically accessible to every country with coastal wetlands. Yet, RSET deployment has been limited to a few regions and purposes. A coordinated expansion of monitoring efforts, including development of regional networks that could support data sharing and collaboration, is crucial to adequately inform coastal climate change adaptation policy at several scales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Climate Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","doi":"10.1038/nclimate1756","usgsCitation":"Webb, E.L., Friess, D., Krauss, K.W., Cahoon, D.R., Guntenspergen, G.R., and Phelps, J., 2013, A global standard for monitoring coastal wetland vulnerability to accelerated sea-level rise: Nature Climate Change, v. 3, no. 5, p. 458-465, https://doi.org/10.1038/nclimate1756.","productDescription":"8 p.","startPage":"458","endPage":"465","ipdsId":"IP-031590","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":473822,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/nclimate1756","text":"External Repository"},{"id":272378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272355,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/nclimate1756"}],"volume":"3","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-04-25","publicationStatus":"PW","scienceBaseUri":"519894d3e4b0eb382b44ac43","contributors":{"authors":[{"text":"Webb, Edward L.","contributorId":22083,"corporation":false,"usgs":true,"family":"Webb","given":"Edward","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":478685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friess, Daniel A.","contributorId":35454,"corporation":false,"usgs":false,"family":"Friess","given":"Daniel A.","affiliations":[{"id":25407,"text":"Department of Geography, National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":478686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":478682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":478684,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":478683,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phelps, Jacob","contributorId":85862,"corporation":false,"usgs":true,"family":"Phelps","given":"Jacob","email":"","affiliations":[],"preferred":false,"id":478687,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70046013,"text":"70046013 - 2013 - Periodicity in stem growth and litterfall in tidal freshwater forested wetlands: influence of salinity and drought on nitrogen recycling","interactions":[],"lastModifiedDate":"2013-05-18T17:17:27","indexId":"70046013","displayToPublicDate":"2013-05-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Periodicity in stem growth and litterfall in tidal freshwater forested wetlands: influence of salinity and drought on nitrogen recycling","docAbstract":"Many tidally influenced freshwater forested wetlands (tidal swamps) along the south Atlantic coast of the USA are currently undergoing dieback and decline. Salinity often drives conversion of tidal swamps to marsh, especially under conditions of regional drought. During this change, alterations in nitrogen (N) uptake from dominant vegetation or timing of N recycling from the canopy during annual litter senescence may help to facilitate marsh encroachment by providing for greater bioavailable N with small increases in salinity. To monitor these changes along with shifts in stand productivity, we established sites along two tidal swamp landscape transects on the lower reaches of the Waccamaw River (South Carolina) and Savannah River (Georgia) representing freshwater (≤0.1 psu), low oligohaline (1.1–1.6 psu), and high oligohaline (2.6–4.1 psu) stands; the latter stands have active marsh encroachment. Aboveground tree productivity was monitored on all sites through monthly litterfall collection and dendrometer band measurements from 2005 to 2009. Litterfall samples were pooled by season and analyzed for total N and carbon (C). On average between the two rivers, freshwater, low oligohaline, and high oligohaline tidal swamps returned 8,126, 3,831, and 1,471 mg N m−2 year−1, respectively, to the forest floor through litterfall, with differences related to total litterfall volume rather than foliar N concentrations. High oligohaline sites were most inconsistent in patterns of foliar N concentrations and N loading from the canopy. Leaf N content generally decreased and foliar C/N generally increased with salinization (excepting one site), with all sites being fairly inefficient in resorbing N from leaves prior to senescence. Stands with higher salinity also had greater flood frequency and duration, lower basal area increments, lower tree densities, higher numbers of dead or dying trees, and much reduced leaf litter fall (103 vs. 624 g m−2 year−1) over the five study years. Our data suggest that alternative processes, such as the rate of decomposition and potential for N mineralization, on tidal swamp sites undergoing salinity-induced state change may be more important for controlling N biogeochemical cycling in soils than differences among sites in N loading via litterfall.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12237-012-9505-z","usgsCitation":"Cormier, N., Krauss, K.W., and Conner, W.H., 2013, Periodicity in stem growth and litterfall in tidal freshwater forested wetlands: influence of salinity and drought on nitrogen recycling: Estuaries and Coasts, v. 36, no. 3, p. 533-546, https://doi.org/10.1007/s12237-012-9505-z.","productDescription":"14 p.","startPage":"533","endPage":"546","ipdsId":"IP-027147","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":272379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272356,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-012-9505-z"}],"volume":"36","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-05-04","publicationStatus":"PW","scienceBaseUri":"5198951ae4b0eb382b44ac5b","contributors":{"authors":[{"text":"Cormier, Nicole 0000-0003-2453-9900 cormiern@usgs.gov","orcid":"https://orcid.org/0000-0003-2453-9900","contributorId":4262,"corporation":false,"usgs":true,"family":"Cormier","given":"Nicole","email":"cormiern@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":478689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":478688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":478690,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046005,"text":"ofr20131116 - 2013 - Behavior and movement of adult summer steelhead following collection and release, lower Cowlitz River, Washington, 2012--2013","interactions":[],"lastModifiedDate":"2017-06-27T12:32:49","indexId":"ofr20131116","displayToPublicDate":"2013-05-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1116","title":"Behavior and movement of adult summer steelhead following collection and release, lower Cowlitz River, Washington, 2012--2013","docAbstract":"

Executive Summary

Historically, adult summer steelhead Oncorhynchus mykiss returning to hatcheries on the lower Cowlitz River were sometimes transported and released in the river (recycled) to provide additional angling opportunity for the popular sport fishery in the basin. However, this practice has not been used in recent years because of concerns associated with interactions between hatchery fish and wild fish. Fishery managers were interested in resuming recycling but lacked information regarding effects of this practice on wild steelhead so we conducted a study during 2012–2013 to: (1) enumerate recycled steelhead that returned to the hatchery or were removed by anglers; and (2) determine if steelhead that were not removed from the river remained in the system where they could interact with wild fish.

During June–August 2012, a total of 549 summer steelhead were captured at the Cowlitz Salmon Hatchery, tagged, and released downstream near the Interstate 5 Bridge. All recycled steelhead were tagged with a white Floy® tag and opercle-punched; 109 (20 percent) of these fish also were radio-tagged. All adult steelhead that return to the hatchery were handled by hatchery staff so recycled steelhead that returned to the hatchery were enumerated daily. A creel survey and voluntary angler reports were used to determine the number of recycled steelhead that were caught by anglers. We established three fixed telemetry monitoring sites on the mainstem Cowlitz River and eight additional sites were deployed on tributaries to the lower Cowlitz River where wild winter steelhead are known to spawn. We also conducted mobile tracking from a boat during October 2012, November 2012, and January 2013 to locate radio-tagged fish.

A total of 10,722 summer steelhead were captured at the Cowlitz Salmon Hatchery in 2012, which was the largest return since 2008. River flows during much of the study period were similar to 2008–2011 average flows, however, high-flow periods in July and November 2012 were nearly twice as high as the 2008–2011 average flows. We determined that 50 percent (273 fish) of the recycled steelhead returned to the hatchery and 18 percent (102 fish) of the recycled steelhead were caught by anglers. Most (243 fish; 89 percent) of the recycled steelhead that returned to the hatchery were recollected during July–August. The average elapsed time from release to recapture at the hatchery was 9 days (d) and 72 percent (182 fish) of the fish returned to the hatchery within 14 d of release. These trends were similar for recycled steelhead that were caught by anglers. Most fish were caught during July–August and the median time from release to capture was 10 d. We determined that 65 percent (70 fish) of the angler-caught fish returned to the hatchery within 14 d of release. River flows appeared to affect both hatchery returns and angler catch. The daily number of recycled steelhead that were recollected at the hatchery were low during periods when river flows were decreasing and high during periods when river flows were increasing. Conversely, daily angler catch of recycled steelhead generally was low when flows were increasing and high when flows were decreasing.

We determined that 32 percent of the recycled steelhead (174 fish) were not removed from the lower Cowlitz River, based on observations from hatchery returns and angler reports, but results from the radio-tagged fish were insightful for understanding what may have happened to these fish. By comparison, we determined that 24 percent of the radio-tagged fish were not known to have been removed from the river. We determined that 12 percent of these fish were actively moving in the lower Cowlitz River during October 2012–January 2013. None of the radio-tagged fish were detected in tributaries during the study period except for a single fish that spent approximately 7 d in the Toutle River during early September. During October 2012–January 2013, 10 percent of the radio-tags from recycled steelhead were detected near popular fishing areas, and 2 percent of the radio-tagged steelhead were never detected during the study period. We suspect that a large proportion of these fish may have been harvested and not reported, or died.

Detection patterns of radio-tagged steelhead showed that most fish (82 percent) moved upstream from the release site and were detected at the Trout Hatchery and the Barrier Dam sites. The median time from release to detection at these sites was 3.7 d and many of these fish made multiple trips between the two sites. Nearly one-third (29 percent) of the recycled steelhead that were detected at the Trout Hatchery and the Barrier Dam made at least two trips between the sites and some fish made as many as six trips. Radio-tagged fish that remained in the lower Cowlitz River during the spawning period (December 2012–January 2013) were observed in the river reach between the mouth of Ostrander Creek (river mile 10) and the Trout Hatchery (river mile 44).

During this study, we collected data on opercle punch regrowth rates to understand the temporal effectiveness of this marking technique. We took opercle measurements for a total of 190 fish during the study. Fresh opercle punches were measured for 63 fish at the time of marking, and the remaining 127 fish were measured when fish returned to the hatchery. We determined that opercle punches remained open for about 30 d. The holes appeared to regrow slowly in the first 20 d after marking, but regrowth accelerated during the 20–30 d post-marking period. After 30 d, all opercle punches that we observed had completely closed due to tissue regrowth.

Our study showed that a large proportion (68 percent) of the recycled steelhead were removed from the lower Cowlitz River. These fish primarily entered the hatchery or were caught by anglers within 14 d of release, which suggests that they present minimal risk to wild fish in the system. However, the remaining fish (32 percent) could not be accounted for, which may complicate fisheries management decisions associated with recycling summer steelhead. Findings from the radiotelemetry study suggest that unreported harvest or mortality could explain a large proportion of those fish that were not reported as having been removed from the river. Furthermore, intensive monitoring of the key spawning tributaries failed to detect a single fish during the spawning period. These findings were supported by observations from weir traps operated by the Washington Department of Fish and Wildlife. Our findings indicate that additional research may be warranted to further examine the effects of recycling hatchery summer steelhead in the lower Cowlitz River.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131116","usgsCitation":"Kock, T.J., Liedtke, T.L., Ekstrom, B.K., Rondorf, D.W., Gleizes, C., Dammers, W., Gibson, S., and Murphy, J., 2013, Behavior and movement of adult summer steelhead following collection and release, lower Cowlitz River, Washington, 2012--2013: U.S. Geological Survey Open-File Report 2013-1116, iv, 22 p., https://doi.org/10.3133/ofr20131116.","productDescription":"iv, 22 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2013-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":272343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131116.jpg"},{"id":272341,"type":{"id":15,"text":"Index 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The program was produced coincident with release of the Lakes Mead and Mohave Circular a USGS publication covering past and on-going research in the lakes and tributaries of the Lake Mead National Recreation Area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip148","usgsCitation":"Wessells, S.M., and Rosen, M., 2013, Lake Mead--clear and vital: U.S. Geological Survey General Information Product 148, DVD Video, 13 min; Downloadable Video, 13 min; Transcript, https://doi.org/10.3133/gip148.","productDescription":"DVD Video, 13 min; Downloadable Video, 13 min; Transcript","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":272352,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/gip/148/transcript.pdf"},{"id":272350,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/148/"},{"id":272353,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/circ/1381/"},{"id":272351,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/148/gip148LG.mp4"},{"id":272354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip148.png"}],"country":"United States","state":"Nevada","otherGeospatial":"Lake Mead","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.0,36.0 ], [ -115.0,36.52 ], [ -113.78,36.52 ], [ -113.78,36.0 ], [ -115.0,36.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51974366e4b09a9cb58d5ed6","contributors":{"authors":[{"text":"Wessells, Stephen M. 0000-0002-1895-4553 smwess@usgs.gov","orcid":"https://orcid.org/0000-0002-1895-4553","contributorId":2235,"corporation":false,"usgs":true,"family":"Wessells","given":"Stephen","email":"smwess@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":478680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosen, Michael","contributorId":87441,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","affiliations":[],"preferred":false,"id":478681,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70045993,"text":"ofr20131049 - 2013 - Multiscale sagebrush rangeland habitat modeling in the Gunnison Basin of Colorado","interactions":[],"lastModifiedDate":"2018-03-08T13:01:51","indexId":"ofr20131049","displayToPublicDate":"2013-05-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1049","title":"Multiscale sagebrush rangeland habitat modeling in the Gunnison Basin of Colorado","docAbstract":"North American sagebrush-steppe ecosystems have decreased by about 50 percent since European settlement. As a result, sagebrush-steppe dependent species, such as the Gunnison sage-grouse, have experienced drastic range contractions and population declines. Coordinated ecosystem-wide research, integrated with monitoring and management activities, is needed to help maintain existing sagebrush habitats; however, products that accurately model and map sagebrush habitats in detail over the Gunnison Basin in Colorado are still unavailable. The goal of this project is to provide a rigorous large-area sagebrush habitat classification and inventory with statistically validated products and estimates of precision across the Gunnison Basin. This research employs a combination of methods, including (1) modeling sagebrush rangeland as a series of independent objective components that can be combined and customized by any user at multiple spatial scales; (2) collecting ground measured plot data on 2.4-meter QuickBird satellite imagery in the same season the imagery is acquired; (3) modeling of ground measured data on 2.4-meter imagery to maximize subsequent extrapolation; (4) acquiring multiple seasons (spring, summer, and fall) of Landsat Thematic Mapper imagery (30-meter) for optimal modeling; (5) using regression tree classification technology that optimizes data mining of multiple image dates, ratios, and bands with ancillary data to extrapolate ground training data to coarser resolution Landsat Thematic Mapper; and 6) employing accuracy assessment of model predictions to enable users to understand their dependencies. Results include the prediction of four primary components including percent bare ground, percent herbaceous, percent shrub, and percent litter, and four secondary components including percent sagebrush (Artemisia spp.), percent big sagebrush (Artemisia tridentata), percent Wyoming sagebrush (Artemisia tridentata wyomingensis), and shrub height (centimeters). Results were validated with an independent accuracy assessment, with root mean square error values ranging from 3.5 (percent big sagebrush) to 10.8 (percent bare ground) at the QuickBird scale, and from 4.5 (percent Wyoming sagebrush) to 12.4 (percent herbaceous) at the full Landsat scale. These results offer significant improvement in sagebrush ecosystem quantification across the Gunnison Basin, and also provide maximum flexibility to users to employ for a wide variety of applications. Further refinement of these remote sensing component predictions in the future will be most likely achieved by focusing on more extensive ground plot sampling, employing new high and moderate-resolution satellite sensors that offer additional spectral bands for vegetation discrimination, and capturing more dates of satellite imagery to better represent phenological variation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131049","usgsCitation":"Homer, C.G., Aldridge, C.L., Meyer, D., and Schell, S., 2013, Multiscale sagebrush rangeland habitat modeling in the Gunnison Basin of Colorado: U.S. Geological Survey Open-File Report 2013-1049, iv, 12 p., https://doi.org/10.3133/ofr20131049.","productDescription":"iv, 12 p.","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-041635","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":272338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131049.gif"},{"id":272336,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1049/"},{"id":272337,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1049/of13-1049.pdf"}],"country":"United States","state":"Colorado","otherGeospatial":"Gunnison Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,37.0 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,37.0 ], [ -109.0,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51974367e4b09a9cb58d5ede","contributors":{"authors":[{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":478661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":478658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Debra K. 0000-0002-8841-697X","orcid":"https://orcid.org/0000-0002-8841-697X","contributorId":72282,"corporation":false,"usgs":true,"family":"Meyer","given":"Debra K.","affiliations":[],"preferred":false,"id":478660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schell, Spencer J.","contributorId":50432,"corporation":false,"usgs":true,"family":"Schell","given":"Spencer J.","affiliations":[],"preferred":false,"id":478659,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046006,"text":"70046006 - 2013 - Low footwall accelerations and variable surface rupture behavior on the Fort Sage Mountains fault, northeast California","interactions":[],"lastModifiedDate":"2013-05-17T12:42:27","indexId":"70046006","displayToPublicDate":"2013-05-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Low footwall accelerations and variable surface rupture behavior on the Fort Sage Mountains fault, northeast California","docAbstract":"The Fort Sage Mountains fault zone is a normal fault in the Walker Lane of the western Basin and Range that produced a small surface rupture (<20  cm) during an ML 5.6 earthquake in 1950. We investigate the paleoseismic history of the Fort Sage fault and find evidence for two paleoearthquakes with surface displacements much larger than those observed in 1950. Rupture of the Fort Sage fault ∼5.6  ka resulted in surface displacements of at least 0.8–1.5 m, implying earthquake moment magnitudes (Mw) of 6.7–7.1. An older rupture at ∼20.5  ka displaced the ground at least 1.5 m, implying an earthquake of Mw 6.8–7.1. A field of precariously balanced rocks (PBRs) is located less than 1 km from the surface‐rupture trace of this Holocene‐active normal fault. Ground‐motion prediction equations (GMPEs) predict peak ground accelerations (PGAs) of 0.2–0.3g for the 1950 rupture and 0.3–0.5g for the ∼5.6  ka paleoearthquake one kilometer from the fault‐surface trace, yet field tests indicate that the Fort Sage PBRs will be toppled by PGAs between 0.1–0.3g. We discuss the paleoseismic history of the Fort Sage fault in the context of the nearby PBRs, GMPEs, and probabilistic seismic hazard maps for extensional regimes. If the Fort Sage PBRs are older than the mid‐Holocene rupture on the Fort Sage fault zone, this implies that current GMPEs may overestimate near‐fault footwall ground motions at this site.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120110313","usgsCitation":"Briggs, R., Wesnousky, S.G., Brune, J.N., Purvance, M.D., and Mahan, S., 2013, Low footwall accelerations and variable surface rupture behavior on the Fort Sage Mountains fault, northeast California: Bulletin of the Seismological Society of America, v. 103, no. 1, p. 157-168, https://doi.org/10.1785/0120110313.","productDescription":"12 p.","startPage":"157","endPage":"168","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":272347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272346,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110313"}],"country":"United States","state":"California","otherGeospatial":"Fort Sage Mountains Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.0 ], [ -114.13,42.0 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"103","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"51974366e4b09a9cb58d5eda","contributors":{"authors":[{"text":"Briggs, Richard W.","contributorId":94027,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard W.","affiliations":[],"preferred":false,"id":478679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wesnousky, Steven G.","contributorId":68197,"corporation":false,"usgs":true,"family":"Wesnousky","given":"Steven","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":478676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brune, James N.","contributorId":76304,"corporation":false,"usgs":true,"family":"Brune","given":"James","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":478677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Purvance, Matthew D.","contributorId":92564,"corporation":false,"usgs":true,"family":"Purvance","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":478675,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70045985,"text":"ds765 - 2013 - Coastal topography–Northeast Atlantic coast, post-hurricane Sandy, 2012","interactions":[],"lastModifiedDate":"2023-04-04T15:18:04.947613","indexId":"ds765","displayToPublicDate":"2013-05-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"765","title":"Coastal topography–Northeast Atlantic coast, post-hurricane Sandy, 2012","docAbstract":"This Data Series contains lidar-derived bare-earth (BE) topography, dune elevations, and mean-high-water shoreline position datasets for most sandy beaches for Fire Island, New York, and from Cape Henlopen, Delaware to Cape Lookout, North Carolina. The data were acquired post-Hurricane Sandy, which made landfall as an extratropical cyclone on October 29, 2012.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds765","usgsCitation":"Stockdon, H.F., Doran, K., Sopkin, K.L., Smith, K., and Fredericks, X., 2013, Coastal topography–Northeast Atlantic coast, post-hurricane Sandy, 2012: U.S. Geological Survey Data Series 765, HTML Document, https://doi.org/10.3133/ds765.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":272332,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds765.png"},{"id":272331,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/765/pubs765/index.html"},{"id":272330,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/765/"}],"country":"United States","state":"Delaware, Maryland, New York, North Carolina, Virginia","otherGeospatial":"northeast Atlantic coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.5,\n 41\n ],\n [\n -77,\n 41\n ],\n [\n -77,\n 34.5\n ],\n [\n -72.5,\n 34.5\n ],\n [\n -72.5,\n 41\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5195580de4b0a933d82c4c79","contributors":{"authors":[{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":478647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doran, Kara S. 0000-0001-8050-5727 kdoran@usgs.gov","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":2496,"corporation":false,"usgs":true,"family":"Doran","given":"Kara S.","email":"kdoran@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":478648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sopkin, Kristin L. ksopkin@usgs.gov","contributorId":4437,"corporation":false,"usgs":true,"family":"Sopkin","given":"Kristin","email":"ksopkin@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":478649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Kathryn E. L.","contributorId":20860,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn E. 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Scientists and decisionmakers often need to construct ensembles and compare climate hindcasts and future projections for particular spatial areas. These tasks generally require an investigator to procure all datasets of interest en masse, integrate the various data formats and representations into commonly accessible and comparable formats, and then extract the subsets of the datasets that are actually of interest. This process can be challenging and time intensive due to data-transfer, -storage, and(or) -processing limits, or unfamiliarity with methods of accessing climate data. Data management for modeling and assessing the impacts of future climate conditions is also becoming increasingly expensive due to the size of the datasets. The Climate Geo Data Portal (http://cida.usgs.gov/climate/gdp/) addresses these limitations, making access to numerous climate datasets for particular areas of interest a simple and efficient task.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133019","usgsCitation":"Blodgett, D.L., 2013, The U.S. Geological Survey Climate Geo Data Portal: an integrated broker for climate and geospatial data: U.S. Geological Survey Fact Sheet 2013-3019, 2 p., https://doi.org/10.3133/fs20133019.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"links":[{"id":272335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133019.jpg"},{"id":272333,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3019/"},{"id":272334,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3019/pdf/FS_2013-3019_508.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51955816e4b0a933d82c4c91","contributors":{"authors":[{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":478652,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70045978,"text":"sir20135095 - 2013 - Evaluation of the potential for hysteresis in index-velocity ratings for the Chicago Sanitary and Ship Canal near Lemont, Illinois","interactions":[],"lastModifiedDate":"2013-05-16T11:01:06","indexId":"sir20135095","displayToPublicDate":"2013-05-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5095","title":"Evaluation of the potential for hysteresis in index-velocity ratings for the Chicago Sanitary and Ship Canal near Lemont, Illinois","docAbstract":"The U.S. Geological Survey (USGS) is responsible for monitoring flows in the Chicago Sanitary and Ship Canal (CSSC) near Lemont, Illinois, as a part of the Lake Michigan Diversion Accounting overseen by the U.S. Army Corps of Engineers, Chicago District. Lake Michigan Diversion Accounting is mandated by a U.S. Supreme Court decree in order to monitor, and limit, the State of Illinois’ annual diversion of Great Lakes water through the manmade CSSC. Every 5 years, a technical review committee consisting of practicing engineers and academics reviews USGS streamgaging practices in the CSSC near Lemont, Illinois. The sixth technical review committee expressed concern that the index-velocity rating—the method used to estimate mean cross-sectional velocity from a measured index velocity—may be subject to hysteresis at this site because of the unique, unsteady hydraulics of the canal. Hysteresis in index-velocity ratings can occur at sites where the flow distribution in the channel varies significantly between the rising and falling limbs of the hydrograph for the same discharge. Presently, hysteresis in index-velocity ratings has been documented only in tidally affected sites. This report investigates whether hysteresis can occur at this nontidal site, and the conditions under which it is likely to occur, by using both a theoretical approach and a three-dimensional hydrodynamic model. The theoretical analysis investigated the conditions required for hysteresis in the index-velocity rating, and the modeling analysis focused on the effect of the timing of the inflows from the CSSC and the Cal-Sag Channel on the potential for hysteresis and whether highly resolved simulations of actual high-flow events show any evidence of hysteresis. Based on both a theoretical analysis using observed historical data and an analysis using a three-dimensional hydrodynamic model, there is no conclusive evidence for the existence of hysteresis in the index-velocity rating at the USGS streamgage on the CSSC near Lemont, Illinois. Although the theoretical analysis indicated the possibility of hysteresis at this site, the hydrodynamic conditions required to generate hysteresis are not present at this site based on historical data. Ongoing streamgaging practices at this site will use the information in this report and include periodic assessment of the index-velocity rating for any signs of hysteresis that might result from future changes to the operation of this manmade canal.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135095","collaboration":"Prepared in cooperation with the Chicago District of the U.S. Army Corps of Engineers","usgsCitation":"Jackson, P., Sinha, S., Dutta, S., Johnson, K.K., Duncker, J.J., and Garcia, M., 2013, Evaluation of the potential for hysteresis in index-velocity ratings for the Chicago Sanitary and Ship Canal near Lemont, Illinois: U.S. Geological Survey Scientific Investigations Report 2013-5095, vi, 35 p., https://doi.org/10.3133/sir20135095.","productDescription":"vi, 35 p.","numberOfPages":"43","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":272307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135095.jpg"},{"id":272305,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5095/"},{"id":272306,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5095/pdf/sir2013-5095.pdf"}],"country":"United States","state":"Illinois","city":"Chicago","otherGeospatial":"Sanitary And Ship Canal","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.25,41.46 ], [ -88.25,42.25 ], [ -87.5,42.25 ], [ -87.5,41.46 ], [ -88.25,41.46 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51955815e4b0a933d82c4c85","contributors":{"authors":[{"text":"Jackson, P. 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As part of this effort, 60 stream-water samples and 43 corresponding stream-sediment samples were collected in 2010 and 2011 from locations in Colorado and New Mexico. Sample sites were selected from small to midsize watersheds composed of a high percentage of one rock type or geologic unit. Stream-water and stream-sediment samples were collected, processed, preserved, and analyzed in a consistent manner. This report releases geochemical data for this phase of the study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131064","usgsCitation":"Hageman, P.L., Todd, A., Smith, K.S., DeWitt, E., and Zeigler, M.P., 2013, Geochemical results from stream-water and stream-sediment samples collected in Colorado and New Mexico: U.S. Geological Survey Open-File Report 2013-1064, Report: iii, 11 p.; 6 Appendices, https://doi.org/10.3133/ofr20131064.","productDescription":"Report: iii, 11 p.; 6 Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":272316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131064.gif"},{"id":272310,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1064/Appendix%201_Bulk%20chemistry%20for%20stream%20sediments.xlsx"},{"id":272308,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1064/"},{"id":272311,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1064/Appendix%202_Stream%20water%20(FA).xlsx"},{"id":272312,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1064/Appendix%203_Stream%20water%20(RA).xlsx"},{"id":272309,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1064/OF13-1064.pdf"},{"id":272313,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1064/Appendix%204_QAQC%20Stream%20sediments.xlsx"},{"id":272314,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1064/Appendix%205_QAQC%20Stream%20water%20(FA).xlsx"},{"id":272315,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1064/Appendix%206_QAQC%20Stream%20water%20(RA).xlsx"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.06,32.81 ], [ -109.06,41.0 ], [ -102.79,41.0 ], [ -102.79,32.81 ], [ -109.06,32.81 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51955815e4b0a933d82c4c89","contributors":{"authors":[{"text":"Hageman, Philip L. 0000-0002-3440-2150 phageman@usgs.gov","orcid":"https://orcid.org/0000-0002-3440-2150","contributorId":811,"corporation":false,"usgs":true,"family":"Hageman","given":"Philip","email":"phageman@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":478638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todd, Andrew S.","contributorId":33162,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew S.","affiliations":[],"preferred":false,"id":478639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Kathleen S. 0000-0001-8547-9804 ksmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8547-9804","contributorId":182,"corporation":false,"usgs":true,"family":"Smith","given":"Kathleen","email":"ksmith@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":478637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeWitt, Ed","contributorId":65081,"corporation":false,"usgs":true,"family":"DeWitt","given":"Ed","affiliations":[],"preferred":false,"id":478640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zeigler, Mathew P.","contributorId":91006,"corporation":false,"usgs":true,"family":"Zeigler","given":"Mathew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":478641,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70045980,"text":"ofr20131104 - 2013 - Determination of selenium in fish from designated critical habitat in the Gunnison River, Colorado, March through October, 2012","interactions":[],"lastModifiedDate":"2013-05-16T11:40:33","indexId":"ofr20131104","displayToPublicDate":"2013-05-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1104","title":"Determination of selenium in fish from designated critical habitat in the Gunnison River, Colorado, March through October, 2012","docAbstract":"This report presents results for the summer 2012 sam-pling of muscle plugs from common carp (Cyprinus carpio), bonytail chub (Gila elegans), Colorado pikeminnow (Ptycho-cheilus lucius), and razorback suckers (Xyrauchen texanus) inhabiting critical habitat in the Gunnison River in western Colorado. Total selenium in fish muscle plugs was determinedby instrumental neutron activation analysis. Total selenium concentrations (range and mean ± standard deviation) in micrograms per gram dry weight were 6.0 to 10.7, 8.8 ± 1.3 for common carp; 2.9 to 8.7, 5.6 ± 2.4 for Colorado pikemin-now; and 1.4 to 7.3, 3.4 ± 2.7 for razorback sucker. The selenium concentration for one bonytail chub sample was 0.8 micrograms per gram dry weight. Selenium concentrations in muscle plugs from 1 Colorado pikeminnow and 12 common carp exceeded the 8 micrograms per gram dry weight toxicity guideline for selenium in fish muscle tissue.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131104","collaboration":"Prepared in collaboration with the U.S. Fish and Wildlife Service","usgsCitation":"May, T.W., and Walther, M., 2013, Determination of selenium in fish from designated critical habitat in the Gunnison River, Colorado, March through October, 2012: U.S. Geological Survey Open-File Report 2013-1104, iv, 6 p., https://doi.org/10.3133/ofr20131104.","productDescription":"iv, 6 p.","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-044355","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":272319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131104.gif"},{"id":272317,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1104/"},{"id":272318,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1104/ofr13_1104_web.pdf"}],"country":"United States","state":"Colorado","otherGeospatial":"Gunnison River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.58,38.51 ], [ -108.58,39.06 ], [ -107.62,39.06 ], [ -107.62,38.51 ], [ -108.58,38.51 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51955814e4b0a933d82c4c7d","contributors":{"authors":[{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":478642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walther, Michael J. mwalther@usgs.gov","contributorId":2852,"corporation":false,"usgs":true,"family":"Walther","given":"Michael J.","email":"mwalther@usgs.gov","affiliations":[],"preferred":true,"id":478643,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}