{"pageNumber":"621","pageRowStart":"15500","pageSize":"25","recordCount":46679,"records":[{"id":70038501,"text":"70038501 - 2012 - The paradox of cooling streams in a warming world: Regional climate trends do not parallel variable local trends in stream temperature in the Pacific continental United States","interactions":[],"lastModifiedDate":"2017-11-24T17:20:57","indexId":"70038501","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The paradox of cooling streams in a warming world: Regional climate trends do not parallel variable local trends in stream temperature in the Pacific continental United States","docAbstract":"Temperature is a fundamentally important driver of ecosystem processes in streams. Recent warming of terrestrial climates around the globe has motivated concern about consequent increases in stream temperature. More specifically, observed trends of increasing air temperature and declining stream flow are widely believed to result in corresponding increases in stream temperature. Here, we examined the evidence for this using long-term stream temperature data from minimally and highly human-impacted sites located across the Pacific continental United States. Based on hypothesized climate impacts, we predicted that we should find warming trends in the maximum, mean and minimum temperatures, as well as increasing variability over time. These predictions were not fully realized. Warming trends were most prevalent in a small subset of locations with longer time series beginning in the 1950s. More recent series of observations (1987-2009) exhibited fewer warming trends and more cooling trends in both minimally and highly human-influenced systems. Trends in variability were much less evident, regardless of the length of time series. Based on these findings, we conclude that our perspective of climate impacts on stream temperatures is clouded considerably by a lack of long-termdata on minimally impacted streams, and biased spatio-temporal representation of existing time series. Overall our results highlight the need to develop more mechanistic, process-based understanding of linkages between climate change, other human impacts and stream temperature, and to deploy sensor networks that will provide better information on trends in stream temperatures in the future.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012GL051448","usgsCitation":"Arismendi, I., Johnson, S., Dunham, J., Haggerty, R., and Hockman-Wert, D., 2012, The paradox of cooling streams in a warming world: Regional climate trends do not parallel variable local trends in stream temperature in the Pacific continental United States: Geophysical Research Letters, v. 39, 7 p.; L10401, https://doi.org/10.1029/2012GL051448.","productDescription":"7 p.; L10401","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":474388,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012gl051448","text":"Publisher Index Page"},{"id":259404,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"39","noUsgsAuthors":false,"publicationDate":"2012-05-16","publicationStatus":"PW","scienceBaseUri":"505bae7be4b08c986b32411f","contributors":{"authors":[{"text":"Arismendi, Ivan","contributorId":70661,"corporation":false,"usgs":true,"family":"Arismendi","given":"Ivan","affiliations":[],"preferred":false,"id":464432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Sherri","contributorId":102348,"corporation":false,"usgs":true,"family":"Johnson","given":"Sherri","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":464433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":1808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":464430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haggerty, Roy","contributorId":102631,"corporation":false,"usgs":true,"family":"Haggerty","given":"Roy","affiliations":[],"preferred":false,"id":464434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hockman-Wert, David 0000-0003-2436-6237 dhockman-wert@usgs.gov","orcid":"https://orcid.org/0000-0003-2436-6237","contributorId":3891,"corporation":false,"usgs":true,"family":"Hockman-Wert","given":"David","email":"dhockman-wert@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":464431,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039313,"text":"70039313 - 2012 - Archive eggs: a research and management tool for avian conservation breeding","interactions":[],"lastModifiedDate":"2012-08-02T01:01:49","indexId":"70039313","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Archive eggs: a research and management tool for avian conservation breeding","docAbstract":"Worldwide, approximately 168 bird species are captive-bred for reintroduction into the wild. Programs tend to be initiated for species with a high level of endangerment. Depressed hatching success can be a problem for such programs and has been linked to artificial incubation. The need for artificial incubation is driven by the practice of multiclutching to increase egg production or by uncertainty over the incubation abilities of captive birds. There has been little attempt to determine how artificial incubation differs from bird-contact incubation. We describe a novel archive (data-logger) egg and use it to compare temperature, humidity, and egg-turning in 5 whooping crane (Grus americana) nests, 4 sandhill crane (G. canadensis) nests, and 3 models of artificial incubator; each of which are used to incubate eggs in whooping crane captive-breeding programs. Mean incubation temperature was 31.7&deg; C for whooping cranes and 32.83&deg; C for sandhill cranes. This is well below that of the artificial incubators (which were set based on a protocol of 37.6&deg; C). Humidity in crane nests varied considerably, but median humidity in all 3 artificial incubators was substantially different from that in the crane nests. Two artificial incubators failed to turn the eggs in a way that mimicked crane egg-turning. Archive eggs are an effective tool for guiding the management of avian conservation breeding programs, and can be custom-made for other species. They also have potential to be applied to research on wild populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Society Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","doi":"10.1002/wsb.150","usgsCitation":"Smith, D., Moehrenschlager, A., Christensen, N., Knapik, D., Gibson, K., and Converse, S., 2012, Archive eggs: a research and management tool for avian conservation breeding: Wildlife Society Bulletin, v. 36, no. 2, p. 342-349, https://doi.org/10.1002/wsb.150.","productDescription":"8 p.","startPage":"342","endPage":"349","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":500047,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/9f89b6c9d5e94a5791826eb277a4f4e8","text":"External Repository"},{"id":259344,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259337,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wsb.150","linkFileType":{"id":5,"text":"html"}}],"volume":"36","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-06-04","publicationStatus":"PW","scienceBaseUri":"5059ed32e4b0c8380cd496a7","contributors":{"authors":[{"text":"Smith, Des","contributorId":98163,"corporation":false,"usgs":true,"family":"Smith","given":"Des","email":"","affiliations":[],"preferred":false,"id":466031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moehrenschlager, Axel","contributorId":32770,"corporation":false,"usgs":true,"family":"Moehrenschlager","given":"Axel","email":"","affiliations":[],"preferred":false,"id":466028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christensen, Nancy","contributorId":28114,"corporation":false,"usgs":true,"family":"Christensen","given":"Nancy","email":"","affiliations":[],"preferred":false,"id":466027,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knapik, Dwight","contributorId":14681,"corporation":false,"usgs":true,"family":"Knapik","given":"Dwight","email":"","affiliations":[],"preferred":false,"id":466026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gibson, Keith","contributorId":65320,"corporation":false,"usgs":true,"family":"Gibson","given":"Keith","email":"","affiliations":[],"preferred":false,"id":466029,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Converse, Sarah J.","contributorId":85716,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah J.","affiliations":[],"preferred":false,"id":466030,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039346,"text":"70039346 - 2012 - Threshold amounts of organic carbon needed to initiate reductive dechlorination in groundwater systems","interactions":[],"lastModifiedDate":"2018-02-23T15:43:33","indexId":"70039346","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3249,"text":"Remediation Journal","active":true,"publicationSubtype":{"id":10}},"title":"Threshold amounts of organic carbon needed to initiate reductive dechlorination in groundwater systems","docAbstract":"Aquifer sediment and groundwater chemistry data from 15 Department of Defense facilities located throughout the United States were collected and analyzed with the goal of estimating the amount of natural organic carbon needed to initiate reductive dechlorination in groundwater systems. Aquifer sediments were analyzed for hydroxylamine and NaOH-extractable organic carbon, yielding a probable underestimate of potentially bioavailable organic carbon (PBOC). Aquifer sediments were also analyzed for total organic carbon (TOC) using an elemental combustion analyzer, yielding a probable overestimate of bioavailable carbon. Concentrations of PBOC correlated linearly with TOC with a slope near one. However, concentrations of PBOC were consistently five to ten times lower than TOC. When mean concentrations of dissolved oxygen observed at each site were plotted versus PBOC, it showed that anoxic conditions were initiated at approximately 200 mg/kg of PBOC. Similarly, the accumulation of reductive dechlorination daughter products relative to parent compounds increased at a PBOC concentration of approximately 200 mg/kg. Concentrations of total hydrolysable amino acids (THAA) in sediments also increased at approximately 200 mg/kg, and bioassays showed that sediment CO<sub>2</sub> production correlated positively with THAA. The results of this study provide an estimate for threshold amounts of bioavailable carbon present in aquifer sediments (approximately 200 mg/kg of PBOC; approximately 1,000 to 2,000 mg/kg of TOC) needed to support reductive dechlorination in groundwater systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remediation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley Periodicals, Inc.","publisherLocation":"Hoboken, NJ","doi":"10.1002/rem.21318","usgsCitation":"Chapelle, F.H., Thomas, L.K., Bradley, P.M., Rectanus, H.V., and Widdowson, M.A., 2012, Threshold amounts of organic carbon needed to initiate reductive dechlorination in groundwater systems: Remediation Journal, v. 22, no. 3, p. 19-28, https://doi.org/10.1002/rem.21318.","productDescription":"10 p.","startPage":"19","endPage":"28","numberOfPages":"10","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":259375,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259362,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rem.21318","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"22","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-06-07","publicationStatus":"PW","scienceBaseUri":"505bb353e4b08c986b325d0f","contributors":{"authors":[{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Lashun K.","contributorId":58507,"corporation":false,"usgs":true,"family":"Thomas","given":"Lashun","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":466114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rectanus, Heather V.","contributorId":46351,"corporation":false,"usgs":true,"family":"Rectanus","given":"Heather","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":466113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Widdowson, Mark A.","contributorId":90379,"corporation":false,"usgs":true,"family":"Widdowson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466115,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039354,"text":"70039354 - 2012 - Assessment of environments for Mars Science Laboratory entry, descent, and surface operations","interactions":[],"lastModifiedDate":"2017-01-11T16:51:47","indexId":"70039354","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3454,"text":"Space Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of environments for Mars Science Laboratory entry, descent, and surface operations","docAbstract":"The Mars Science Laboratory mission aims to land a car-sized rover on Mars' surface and operate it for at least one Mars year in order to assess whether its field area was ever capable of supporting microbial life. Here we describe the approach used to identify, characterize, and assess environmental risks to the landing and rover surface operations. Novel entry, descent, and landing approaches will be used to accurately deliver the 900-kg rover, including the ability to sense and \"fly out\" deviations from a best-estimate atmospheric state. A joint engineering and science team developed methods to estimate the range of potential atmospheric states at the time of arrival and to quantitatively assess the spacecraft's performance and risk given its particular sensitivities to atmospheric conditions. Numerical models are used to calculate the atmospheric parameters, with observations used to define model cases, tune model parameters, and validate results. This joint program has resulted in a spacecraft capable of accessing, with minimal risk, the four finalist sites chosen for their scientific merit. The capability to operate the landed rover over the latitude range of candidate landing sites, and for all seasons, was verified against an analysis of surface environmental conditions described here. These results, from orbital and model data sets, also drive engineering simulations of the rover's thermal state that are used to plan surface operations.","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s11214-012-9911-3","usgsCitation":"Vasavada, A., Chen, A., Barnes, J.R., Burkhart, P.D., Cantor, B.A., Dwyer-Cianciolo, A.M., Fergason, R.L., Hinson, D.P., Justh, H.L., Kass, D.M., Lewis, S.R., Mischna, M.A., Murphy, J.R., Rafkin, S.C., Tyler, D., and Withers, P.G., 2012, Assessment of environments for Mars Science Laboratory entry, descent, and surface operations: Space Science Reviews, v. 170, no. 1, p. 793-835, https://doi.org/10.1007/s11214-012-9911-3.","productDescription":"43 p.","startPage":"793","endPage":"835","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":259348,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"170","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-06-30","publicationStatus":"PW","scienceBaseUri":"5059ee2ee4b0c8380cd49be8","contributors":{"authors":[{"text":"Vasavada, Ashwin R.","contributorId":84125,"corporation":false,"usgs":true,"family":"Vasavada","given":"Ashwin R.","affiliations":[],"preferred":false,"id":466132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Allen","contributorId":71430,"corporation":false,"usgs":true,"family":"Chen","given":"Allen","email":"","affiliations":[],"preferred":false,"id":466131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, Jeffrey R.","contributorId":21813,"corporation":false,"usgs":true,"family":"Barnes","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":466121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burkhart, P. Daniel","contributorId":21023,"corporation":false,"usgs":true,"family":"Burkhart","given":"P.","email":"","middleInitial":"Daniel","affiliations":[],"preferred":false,"id":466119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cantor, Bruce A.","contributorId":38829,"corporation":false,"usgs":true,"family":"Cantor","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dwyer-Cianciolo, Alicia M.","contributorId":33569,"corporation":false,"usgs":true,"family":"Dwyer-Cianciolo","given":"Alicia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":466123,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fergason, Robini L.","contributorId":50394,"corporation":false,"usgs":true,"family":"Fergason","given":"Robini","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":466129,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hinson, David P.","contributorId":21400,"corporation":false,"usgs":true,"family":"Hinson","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":466120,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Justh, Hilary L.","contributorId":41275,"corporation":false,"usgs":true,"family":"Justh","given":"Hilary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":466126,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kass, David M.","contributorId":91731,"corporation":false,"usgs":true,"family":"Kass","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":466133,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lewis, Stephen R.","contributorId":64081,"corporation":false,"usgs":true,"family":"Lewis","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":466130,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mischna, Michael A.","contributorId":46815,"corporation":false,"usgs":true,"family":"Mischna","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466127,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Murphy, James R.","contributorId":96944,"corporation":false,"usgs":true,"family":"Murphy","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":466134,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rafkin, Scot C.R.","contributorId":31614,"corporation":false,"usgs":true,"family":"Rafkin","given":"Scot","email":"","middleInitial":"C.R.","affiliations":[],"preferred":false,"id":466122,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tyler, Daniel","contributorId":35999,"corporation":false,"usgs":true,"family":"Tyler","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":466124,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Withers, Paul G.","contributorId":49226,"corporation":false,"usgs":true,"family":"Withers","given":"Paul","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":466128,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70039350,"text":"70039350 - 2012 - Adult tree swallow survival on the polychlorinated biphenyl-contaminated Hudson River, New York, USA, between 2006 and 2010","interactions":[],"lastModifiedDate":"2012-08-03T01:02:04","indexId":"70039350","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Adult tree swallow survival on the polychlorinated biphenyl-contaminated Hudson River, New York, USA, between 2006 and 2010","docAbstract":"The upper Hudson River basin in east central New York, USA, is highly contaminated, primarily with polychlorinated biphenyls (PCBs). Reduced adult survival has been documented in tree swallows (<i>Tachycineta bicolor</i>) at a similarly PCB-contaminated river system in western Massachusetts. The purpose of the present study was to assess whether adult survival of tree swallows was likewise affected in the Hudson River basin. Between 2006 and 2010, a total of 521 female tree swallows were banded, of which 148 were retrapped at least once. The authors used Program MARK and an information theoretic approach to test the hypothesis that PCB contamination reduced annual survival of female tree swallows. The model that best described the processes that generated the capture history data included covariate effects of year and female plumage coloration on survival but not PCB/river. Annual survival rates of brown-plumaged females (mostly one year old) were generally lower (mean phi = 0.39) than those of blue-plumaged females (mean phi = 0.50, one year or older). Poor early spring weather in 2007 was associated with reduced survival in both plumage-color groups compared to later years. Models with the effects of PCB exposure on survival (all &Delta;AICc values &#62;5.0) received little support.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/etc.1894","usgsCitation":"Custer, C.M., Custer, T.W., and Hines, J., 2012, Adult tree swallow survival on the polychlorinated biphenyl-contaminated Hudson River, New York, USA, between 2006 and 2010: Environmental Toxicology and Chemistry, v. 31, no. 8, p. 1788-1792, https://doi.org/10.1002/etc.1894.","productDescription":"5 p.","startPage":"1788","endPage":"1792","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":259407,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.1894"},{"id":259410,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Upper Hudson River Basin","volume":"31","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-05-25","publicationStatus":"PW","scienceBaseUri":"5059e6ffe4b0c8380cd477ae","contributors":{"authors":[{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":466116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Custer, Thomas W. 0000-0003-3170-6519 tcuster@usgs.gov","orcid":"https://orcid.org/0000-0003-3170-6519","contributorId":2835,"corporation":false,"usgs":true,"family":"Custer","given":"Thomas","email":"tcuster@usgs.gov","middleInitial":"W.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":466117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":466118,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039308,"text":"ds704 - 2012 - Benthic foraminiferal census data from Mobile Bay, Alabama--counts of surface samples and box cores","interactions":[],"lastModifiedDate":"2012-08-08T01:02:14","indexId":"ds704","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","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":"704","title":"Benthic foraminiferal census data from Mobile Bay, Alabama--counts of surface samples and box cores","docAbstract":"A study was undertaken in order to understand recent environmental change in Mobile Bay, Alabama. For this study a series of surface sediment and box core samples was collected. The surface benthic foraminiferal data provide the modern baseline conditions of the bay and can be used as a reference for changing paleoenvironmental parameters recorded in the box cores. The 14 sampling locations were chosen in the bay to cover the wide diversity of fluvial and marine-influenced environments on both sides of the shipping channel.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds704","usgsCitation":"Richwine, K.A., and Osterman, L.E., 2012, Benthic foraminiferal census data from Mobile Bay, Alabama--counts of surface samples and box cores: U.S. Geological Survey Data Series 704, HTML Document; XLS Downloads of Tables 1-12, https://doi.org/10.3133/ds704.","productDescription":"HTML Document; XLS Downloads of Tables 1-12","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":259372,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_704.jpg"},{"id":259354,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/704/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile Bay","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f0b8e4b0c8380cd4a896","contributors":{"authors":[{"text":"Richwine, Kathryn A. krichwine@usgs.gov","contributorId":5004,"corporation":false,"usgs":true,"family":"Richwine","given":"Kathryn","email":"krichwine@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osterman, Lisa E. osterman@usgs.gov","contributorId":3058,"corporation":false,"usgs":true,"family":"Osterman","given":"Lisa","email":"osterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466013,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039372,"text":"70039372 - 2012 - Estimating abundance of mountain lions from unstructured spatial sampling","interactions":[],"lastModifiedDate":"2023-10-12T19:58:05.240313","indexId":"70039372","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating abundance of mountain lions from unstructured spatial sampling","docAbstract":"Mountain lions (Puma concolor) are often difficult to monitor because of their low capture probabilities, extensive movements, and large territories. Methods for estimating the abundance of this species are needed to assess population status, determine harvest levels, evaluate the impacts of management actions on populations, and derive conservation and management strategies. Traditional mark&ndash;recapture methods do not explicitly account for differences in individual capture probabilities due to the spatial distribution of individuals in relation to survey effort (or trap locations). However, recent advances in the analysis of capture&ndash;recapture data have produced methods estimating abundance and density of animals from spatially explicit capture&ndash;recapture data that account for heterogeneity in capture probabilities due to the spatial organization of individuals and traps. We adapt recently developed spatial capture&ndash;recapture models to estimate density and abundance of mountain lions in western Montana. Volunteers and state agency personnel collected mountain lion DNA samples in portions of the Blackfoot drainage (7,908 km<sup>2</sup>) in west-central Montana using 2 methods: snow back-tracking mountain lion tracks to collect hair samples and biopsy darting treed mountain lions to obtain tissue samples. Overall, we recorded 72 individual capture events, including captures both with and without tissue sample collection and hair samples resulting in the identification of 50 individual mountain lions (30 females, 19 males, and 1 unknown sex individual). We estimated lion densities from 8 models containing effects of distance, sex, and survey effort on detection probability. Our population density estimates ranged from a minimum of 3.7 mountain lions/100 km<sup>2</sup> (95% Cl 2.3&ndash;5.7) under the distance only model (including only an effect of distance on detection probability) to 6.7 (95% Cl 3.1&ndash;11.0) under the full model (including effects of distance, sex, survey effort, and distance x sex on detection probability). These numbers translate to a total estimate of 293 mountain lions (95% Cl 182&ndash;451) to 529 (95% Cl 245&ndash;870) within the Blackfoot drainage. Results from the distance model are similar to previous estimates of 3.6 mountain lions/100 km<sup>2</sup> for the study area; however, results from all other models indicated greater numbers of mountain lions. Our results indicate that unstructured spatial sampling combined with spatial capture&ndash;recapture analysis can be an effective method for estimating large carnivore densities.","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","usgsCitation":"Russell, R.E., Royle, J., Desimone, R., Schwartz, M.K., Edwards, V.L., Pilgrim, K.P., and Mckelvey, K.S., 2012, Estimating abundance of mountain lions from unstructured spatial sampling: Journal of Wildlife Management, v. 76, no. 8, p. 1551-1561.","productDescription":"11 p.","startPage":"1551","endPage":"1561","numberOfPages":"11","ipdsId":"IP-029409","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":259377,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b08e4b0c8380cd52520","contributors":{"authors":[{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":466149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":466153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Desimone, Richard","contributorId":33964,"corporation":false,"usgs":false,"family":"Desimone","given":"Richard","email":"","affiliations":[],"preferred":false,"id":466152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwartz, Michael K.","contributorId":102326,"corporation":false,"usgs":true,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":466155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Victoria L.","contributorId":90149,"corporation":false,"usgs":true,"family":"Edwards","given":"Victoria","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":466154,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pilgrim, Kristy P.","contributorId":18615,"corporation":false,"usgs":true,"family":"Pilgrim","given":"Kristy","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":466150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mckelvey, Kevin S.","contributorId":22617,"corporation":false,"usgs":true,"family":"Mckelvey","given":"Kevin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":466151,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70039292,"text":"70039292 - 2012 - Experimental investigation of false positive errors in auditory species occurrence surveys","interactions":[],"lastModifiedDate":"2012-08-02T01:01:49","indexId":"70039292","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Experimental investigation of false positive errors in auditory species occurrence surveys","docAbstract":"False positive errors are a significant component of many ecological data sets, which in combination with false negative errors, can lead to severe biases in conclusions about ecological systems. We present results of a field experiment where observers recorded observations for known combinations of electronically broadcast calling anurans under conditions mimicking field surveys to determine species occurrence. Our objectives were to characterize false positive error probabilities for auditory methods based on a large number of observers, to determine if targeted instruction could be used to reduce false positive error rates, and to establish useful predictors of among-observer and among-species differences in error rates. We recruited 31 observers, ranging in abilities from novice to expert, that recorded detections for 12 species during 180 calling trials (66,960 total observations). All observers made multiple false positive errors and on average 8.1% of recorded detections in the experiment were false positive errors. Additional instruction had only minor effects on error rates. After instruction, false positive error probabilities decreased by 16% for treatment individuals compared to controls with broad confidence interval overlap of 0 (95% CI: -46 to 30%). This coincided with an increase in false negative errors due to the treatment (26%; -3 to 61%). Differences among observers in false positive and in false negative error rates were best predicted by scores from an online test and a self-assessment of observer ability completed prior to the field experiment. In contrast, years of experience conducting call surveys was a weak predictor of error rates. False positive errors were also more common for species that were played more frequently, but were not related to the dominant spectral frequency of the call. Our results corroborate other work that demonstrates false positives are a significant component of species occurrence data collected by auditory methods. Instructing observers to only report detections they are completely certain are correct is not sufficient to eliminate errors. As a result, analytical methods that account for false positive errors will be needed, and independent testing of observer ability is a useful predictor for among-observer variation in observation error rates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA","publisherLocation":"Ithaca, NY","doi":"10.1890/11-2129.1","usgsCitation":"Miller, D., Weir, L., McClintock, B.T., Grant, E., Bailey, L., and Simons, T.R., 2012, Experimental investigation of false positive errors in auditory species occurrence surveys: Ecological Applications, v. 22, no. 5, p. 1665-1674, https://doi.org/10.1890/11-2129.1.","productDescription":"10 p.","startPage":"1665","endPage":"1674","numberOfPages":"10","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":259345,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259341,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-2129.1","linkFileType":{"id":5,"text":"html"}}],"volume":"22","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0dd5e4b0c8380cd531fa","contributors":{"authors":[{"text":"Miller, David A.W.","contributorId":19423,"corporation":false,"usgs":true,"family":"Miller","given":"David A.W.","affiliations":[],"preferred":false,"id":465983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weir, Linda A. lweir@usgs.gov","contributorId":3201,"corporation":false,"usgs":true,"family":"Weir","given":"Linda A.","email":"lweir@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":465981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McClintock, Brett T. 0000-0001-6154-4376","orcid":"https://orcid.org/0000-0001-6154-4376","contributorId":83785,"corporation":false,"usgs":true,"family":"McClintock","given":"Brett","email":"","middleInitial":"T.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":true,"id":465984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grant, Evan H. Campbell","contributorId":14686,"corporation":false,"usgs":true,"family":"Grant","given":"Evan H. Campbell","affiliations":[],"preferred":false,"id":465982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bailey, Larissa L.","contributorId":93183,"corporation":false,"usgs":true,"family":"Bailey","given":"Larissa L.","affiliations":[],"preferred":false,"id":465985,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":465980,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039312,"text":"70039312 - 2012 - Evidence, models, conservation programs and limits to management","interactions":[],"lastModifiedDate":"2012-08-02T01:01:49","indexId":"70039312","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Evidence, models, conservation programs and limits to management","docAbstract":"Walsh et al. (2012) emphasized the importance of obtaining evidence to assess the effects of management actions on state variables relevant to objectives of conservation programs. They focused on malleefowl Leipoa ocellata, ground-dwelling Australian megapodes listed as vulnerable. They noted that although fox Vulpes vulpes baiting is the main management action used in malleefowl conservation throughout southern Australia, evidence of the effectiveness of this action is limited and currently debated. Walsh et al. (2012) then used data from 64 sites monitored for malleefowl and foxes over 23 years to assess key functional relationships relevant to fox control as a conservation action for malleefowl. In one set of analyses, Walsh et al. (2012) focused on two relationships: fox baiting investment versus fox presence, and fox presence versus malleefowl population size and rate of population change. Results led to the counterintuitive conclusion that increases in investments in fox control produced slight decreases in malleefowl population size and growth. In a second set of analyses, Walsh et al. (2012) directly assessed the relationship between investment in fox baiting and malleefowl population size and rate of population change. This set of analyses showed no significant relationship between investment in fox population control and malleefowl population growth. Both sets of analyses benefited from the incorporation of key environmental covariates hypothesized to influence these management relationships. Walsh et al. (2012) concluded that \"in most situations, malleefowl conservation did not effectively benefit from fox baiting at current levels of investment.\" In this commentary, I discuss the work of Walsh et al. (2012) using the conceptual framework of structured decision making (SDM). In doing so, I accept their analytic results and associated conclusions as accurate and discuss basic ideas about evidence, conservation and limits to management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Animal Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1469-1795.2012.00574.x","usgsCitation":"Nichols, J., 2012, Evidence, models, conservation programs and limits to management: Animal Conservation, v. 15, no. 4, p. 331-333, https://doi.org/10.1111/j.1469-1795.2012.00574.x.","productDescription":"3 p.","startPage":"331","endPage":"333","numberOfPages":"3","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474387,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1469-1795.2012.00574.x","text":"Publisher Index Page"},{"id":259351,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259340,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1469-1795.2012.00574.x","linkFileType":{"id":5,"text":"html"}}],"volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-07-04","publicationStatus":"PW","scienceBaseUri":"505a0d74e4b0c8380cd53021","contributors":{"authors":[{"text":"Nichols, J.D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":14332,"corporation":false,"usgs":true,"family":"Nichols","given":"J.D.","affiliations":[],"preferred":false,"id":466025,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70006049,"text":"70006049 - 2012 - The next Landsat satellite: The Landsat Data Continuity Mission","interactions":[],"lastModifiedDate":"2022-01-25T12:26:43.71883","indexId":"70006049","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"The next Landsat satellite: The Landsat Data Continuity Mission","docAbstract":"The National Aeronautics and Space Administration (NASA) and the Department of Interior United States Geological Survey (USGS) are developing the successor mission to Landsat 7 that is currently known as the Landsat Data Continuity Mission (LDCM). NASA is responsible for building and launching the LDCM satellite observatory. USGS is building the ground system and will assume responsibility for satellite operations and for collecting, archiving, and distributing data following launch. The observatory will consist of a spacecraft in low-Earth orbit with a two-sensor payload. One sensor, the Operational Land Imager (OLI), will collect image data for nine shortwave spectral bands over a 185 km swath with a 30 m spatial resolution for all bands except a 15 m panchromatic band. The other instrument, the Thermal Infrared Sensor (TIRS), will collect image data for two thermal bands with a 100 m resolution over a 185 km swath. Both sensors offer technical advancements over earlier Landsat instruments. OLI and TIRS will coincidently collect data and the observatory will transmit the data to the ground system where it will be archived, processed to Level 1 data products containing well calibrated and co-registered OLI and TIRS data, and made available for free distribution to the general public. The LDCM development is on schedule for a December 2012 launch. The USGS intends to rename the satellite \"Landsat 8\" following launch. By either name a successful mission will fulfill a mandate for Landsat data continuity. The mission will extend the almost 40-year Landsat data archive with images sufficiently consistent with data from the earlier missions to allow long-term studies of regional and global land cover change.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.rse.2011.08.026","usgsCitation":"Irons, J.R., Dwyer, J.L., and Barsi, J.A., 2012, The next Landsat satellite: The Landsat Data Continuity Mission: Remote Sensing of Environment, v. 122, p. 11-21, https://doi.org/10.1016/j.rse.2011.08.026.","productDescription":"11 p.","startPage":"11","endPage":"21","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474392,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20120013292","text":"External Repository"},{"id":259394,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bae19e4b08c986b323f02","contributors":{"authors":[{"text":"Irons, James R.","contributorId":59284,"corporation":false,"usgs":false,"family":"Irons","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":353734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dwyer, John L. 0000-0002-8281-0896 dwyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8281-0896","contributorId":3481,"corporation":false,"usgs":true,"family":"Dwyer","given":"John","email":"dwyer@usgs.gov","middleInitial":"L.","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":353733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barsi, Julia A.","contributorId":71822,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":353735,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004459,"text":"70004459 - 2012 - The early bird gets the shrimp: Confronting assumptions of isotopic equilibrium and homogeneity in a wild bird population","interactions":[],"lastModifiedDate":"2012-11-02T16:14:13","indexId":"70004459","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The early bird gets the shrimp: Confronting assumptions of isotopic equilibrium and homogeneity in a wild bird population","docAbstract":"1. Because stable isotope distributions in organic material vary systematically across energy gradients that exist in ecosystems, community and population structures, and in individual physiological systems, isotope values in animal tissues have helped address a broad range of questions in animal ecology. It follows that every tissue sample provides an isotopic profile that can be used to study dietary or movement histories of individual animals. Interpretations of these profiles depend on the assumption that metabolic pools are isotopically well mixed and in equilibrium with dietary resources prior to tissue synthesis, and they extend to the population level by assuming isotope profiles are identically distributed for animals using the same proximal dietary resource. As these assumptions are never fully met, studying structure in the variance of tissue isotope values from wild populations is informative. 2. We studied variation in &delta;<sup>13</sup>C, &delta;<sup>15</sup>N, &delta;<sup>2</sup>H and &delta;<sup>18</sup>O data for feathers from a population of eared grebes (Podiceps nigricollis) that migrate to Great Salt Lake each fall to moult feathers. During this time, they cannot fly and feed almost exclusively on superabundant brine shrimp (Artemia franciscana). The ecological simplicity of this situation minimized the usual spatial and trophic complexities often present in natural studies of feather isotope values. 3. Ranges and variances of isotope values for the feathers were larger than those from previously published studies that report feather isotopic variance, but they were bimodally distributed in all isotope dimensions. Isotope values for proximal dietary resources and local surface water show that some of the feathers we assumed to have been grown locally must have been grown before birds reached isotopic equilibrium with local diet or immediately prior to arrival at Great Salt Lake. 4. Our study provides novel insights about resource use strategies in eared grebes during migration. More generally, it demonstrates the utility of studying variance structures and questioning assumptions implicit in the interpretation of stable isotope data from wild animals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Animal Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","usgsCitation":"Wunder, M.B., Jehl, J.R., and Stricker, C.A., 2012, The early bird gets the shrimp: Confronting assumptions of isotopic equilibrium and homogeneity in a wild bird population: Journal of Animal Ecology, v. 81, no. 6, p. 1223-1232.","productDescription":"10 p.","startPage":"1223","endPage":"1232","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":259397,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","volume":"81","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baaefe4b08c986b322ae7","contributors":{"authors":[{"text":"Wunder, Michael B.","contributorId":88594,"corporation":false,"usgs":true,"family":"Wunder","given":"Michael","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":350464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jehl, Joseph R. Jr.","contributorId":6309,"corporation":false,"usgs":true,"family":"Jehl","given":"Joseph","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":350463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":350462,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005736,"text":"70005736 - 2012 - Source rock contributions to the Lower Cretaceous heavy oil accumulations in Alberta: a basin modeling study","interactions":[],"lastModifiedDate":"2018-01-08T13:18:08","indexId":"70005736","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":701,"text":"American Association of Petroleum Geologists Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Source rock contributions to the Lower Cretaceous heavy oil accumulations in Alberta: a basin modeling study","docAbstract":"The origin of the immense oil sand deposits in Lower Cretaceous reservoirs of the Western Canada sedimentary basin is still a matter of debate, specifically with respect to the original in-place volumes and contributing source rocks. In this study, the contributions from the main source rocks were addressed using a three-dimensional petroleum system model calibrated to well data. A sensitivity analysis of source rock definition was performed in the case of the two main contributors, which are the Lower Jurassic Gordondale Member of the Fernie Group and the Upper Devonian&ndash;Lower Mississippian Exshaw Formation. This sensitivity analysis included variations of assigned total organic carbon and hydrogen index for both source intervals, and in the case of the Exshaw Formation, variations of thickness in areas beneath the Rocky Mountains were also considered. All of the modeled source rocks reached the early or main oil generation stages by 60 Ma, before the onset of the Laramide orogeny. Reconstructed oil accumulations were initially modest because of limited trapping efficiency. This was improved by defining lateral stratigraphic seals within the carrier system. An additional sealing effect by biodegraded oil may have hindered the migration of petroleum in the northern areas, but not to the east of Athabasca. In the latter case, the main trapping controls are dominantly stratigraphic and structural. Our model, based on available data, identifies the Gordondale source rock as the contributor of more than 54% of the oil in the Athabasca and Peace River accumulations, followed by minor amounts from Exshaw (15%) and other Devonian to Lower Jurassic source rocks. The proposed strong contribution of petroleum from the Exshaw Formation source rock to the Athabasca oil sands is only reproduced by assuming 25 m (82 ft) of mature Exshaw in the kitchen areas, with original total organic carbon of 9% or more.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Association of Petroleum Geologists Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Association of Petroleum Geologists (AAPG)","publisherLocation":"Tulsa, OK","doi":"10.1306/11141111064","usgsCitation":"Berbesi, L.A., di Primio, R., Anka, Z., Horsfield, B., and Higley, D.K., 2012, Source rock contributions to the Lower Cretaceous heavy oil accumulations in Alberta: a basin modeling study: American Association of Petroleum Geologists Bulletin, v. 96, no. 7, p. 1211-1234, https://doi.org/10.1306/11141111064.","productDescription":"24 p.","startPage":"1211","endPage":"1234","numberOfPages":"41","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":259393,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259380,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1306/11141111064","linkFileType":{"id":5,"text":"html"}}],"country":"Canada","state":"Alberta","volume":"96","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b933ce4b08c986b31a3b0","contributors":{"authors":[{"text":"Berbesi, Luiyin Alejandro","contributorId":22640,"corporation":false,"usgs":true,"family":"Berbesi","given":"Luiyin","email":"","middleInitial":"Alejandro","affiliations":[],"preferred":false,"id":353141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"di Primio, Rolando","contributorId":66133,"corporation":false,"usgs":true,"family":"di Primio","given":"Rolando","email":"","affiliations":[],"preferred":false,"id":353143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anka, Zahie","contributorId":23401,"corporation":false,"usgs":true,"family":"Anka","given":"Zahie","email":"","affiliations":[],"preferred":false,"id":353142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horsfield, Brian","contributorId":12338,"corporation":false,"usgs":true,"family":"Horsfield","given":"Brian","email":"","affiliations":[],"preferred":false,"id":353140,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Higley, Debra K. 0000-0001-8024-9954 higley@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":152663,"corporation":false,"usgs":true,"family":"Higley","given":"Debra","email":"higley@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":353139,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173536,"text":"70173536 - 2012 - Baseline for beached marine debris on Sand Island, Midway Atoll","interactions":[],"lastModifiedDate":"2016-06-14T15:50:34","indexId":"70173536","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Baseline for beached marine debris on Sand Island, Midway Atoll","docAbstract":"<div class=\"abstract svAbstract \" data-etype=\"ab\">\n<p id=\"sp0010\">Baseline measurements were made of the amount and weight of beached marine debris on Sand Island, Midway Atoll, June 2008&ndash;July 2010. On 23 surveys, 32,696 total debris objects (identifiable items and pieces) were collected; total weight was 740.4&nbsp;kg. Seventy-two percent of the total was pieces; 91% of the pieces were made of plastic materials. Pieces were composed primarily of polyethylene and polypropylene. Identifiable items were 28% of the total; 88% of the identifiable items were in the fishing/aquaculture/shipping-related and beverage/household products-related categories. Identifiable items were lowest during April&ndash;August, while pieces were at their lowest during June&ndash;August. Sites facing the North Pacific Gyre received the most debris and proportionately more pieces. More debris tended to be found on Sand Island when the Subtropical Convergence Zone was closer to the Atoll. This information can be used for potential mitigation and to understand the impacts of large-scale events such as the 2011 Japanese tsunami.</p>\n<p>&nbsp;</p>\n</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2012.04.001","usgsCitation":"Ribic, C., Sheavly, S.B., and John Klavitter, 2012, Baseline for beached marine debris on Sand Island, Midway Atoll: Marine Pollution Bulletin, v. 64, no. 8, p. 1726-1729, https://doi.org/10.1016/j.marpolbul.2012.04.001.","productDescription":"4 p.","startPage":"1726","endPage":"1729","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034611","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Midway Atoll","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -177.38628387451172,\n              28.217894799357122\n            ],\n            [\n              -177.3907470703125,\n              28.21002896775545\n            ],\n            [\n              -177.39898681640625,\n              28.19883428556821\n            ],\n            [\n              -177.3972702026367,\n              28.19338779986267\n            ],\n            [\n              -177.37117767333984,\n              28.200044578030063\n            ],\n            [\n              -177.35641479492188,\n              28.209726424201225\n            ],\n            [\n              -177.35950469970703,\n              28.218802358028878\n            ],\n            [\n              -177.37014770507812,\n              28.222130007158537\n            ],\n            [\n              -177.3804473876953,\n              28.22001242425808\n            ],\n            [\n              -177.38628387451172,\n              28.217894799357122\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"64","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57612aade4b04f417c2ce474","contributors":{"authors":[{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheavly, Seba B.","contributorId":171391,"corporation":false,"usgs":false,"family":"Sheavly","given":"Seba","email":"","middleInitial":"B.","affiliations":[{"id":26885,"text":"Sheavly Consultants, Virginia Beach, VA","active":true,"usgs":false}],"preferred":false,"id":637275,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"John Klavitter","contributorId":171390,"corporation":false,"usgs":false,"family":"John Klavitter","affiliations":[{"id":26884,"text":"USFWS, Midway Atoll NWR, Honolulu, HI","active":true,"usgs":false}],"preferred":false,"id":637274,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70005805,"text":"70005805 - 2012 - Sediment mobility and bed armoring in the St Clair River: insights from hydrodynamic modeling","interactions":[],"lastModifiedDate":"2016-05-30T09:11:03","indexId":"70005805","displayToPublicDate":"2012-07-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Sediment mobility and bed armoring in the St Clair River: insights from hydrodynamic modeling","docAbstract":"<p>The lake levels in Lake Michigan-Huron have recently fallen to near historical lows, as has the elevation difference between Lake Michigan-Huron compared to Lake Erie. This decline in lake levels has the potential to cause detrimental impacts on the lake ecosystems, together with social and economic impacts on communities in the entire Great Lakes region. Results from past work suggest that morphological changes in the St Clair River, which is the only natural outlet for Lake Michigan-Huron, could be an appreciable factor in the recent trends of lake level decline. A key research question is whether bed erosion within the river has caused an increase in water conveyance, therefore, contributed to the falling lake level. In this paper, a numerical modeling approach with field data is used to investigate the possibility of sediment movement in the St Clair River and assess the likelihood of morphological change under the current flow regime. A two-dimensional numerical model was used to study flow structure, bed shear stress, and sediment mobility/armoring over a range of flow discharges. Boundary conditions for the numerical model were provided by detailed field measurements that included high-resolution bathymetry and three-dimensional flow velocities. The results indicate that, without considering other effects, under the current range of flow conditions, the shear stresses produced by the river flow are too low to transport most of the coarse bed sediment within the reach and are too low to cause substantial bed erosion or bed scour. However, the detailed maps of the bed show mobile bedforms in the upper St Clair River that are indicative of sediment transport. Relatively high shear stresses near a constriction at the upstream end of the river and at channel bends could cause local scour and deposition. Ship-induced propeller wake erosion also is a likely cause of sediment movement in the entire reach. Other factors that may promote sediment movement, such as ice cover and dredging in the lower river, require further investigation.</p>","language":"English","publisher":"Elsevier","doi":"10.1002/esp.3215","usgsCitation":"Liu, X., Parker, G., Czuba, J., Oberg, K., Mier, J.M., Best, J.L., Parsons, D.R., Ashmore, P., Krishnappan, B.G., and Garcia, M., 2012, Sediment mobility and bed armoring in the St Clair River: insights from hydrodynamic modeling: Earth Surface Processes and Landforms, v. 37, no. 9, p. 957-970, https://doi.org/10.1002/esp.3215.","productDescription":"14 p.","startPage":"957","endPage":"970","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":259332,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259325,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/esp.3215","linkFileType":{"id":5,"text":"html"}}],"country":"United States;Canada","otherGeospatial":"St. Clair River","volume":"37","issue":"9","noUsgsAuthors":false,"publicationDate":"2012-03-13","publicationStatus":"PW","scienceBaseUri":"505b899be4b08c986b316e3d","contributors":{"authors":[{"text":"Liu, Xiaofeng","contributorId":57711,"corporation":false,"usgs":true,"family":"Liu","given":"Xiaofeng","affiliations":[],"preferred":false,"id":353276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Gary","contributorId":104326,"corporation":false,"usgs":true,"family":"Parker","given":"Gary","email":"","affiliations":[],"preferred":false,"id":353280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czuba, Jonathan A.","contributorId":19917,"corporation":false,"usgs":true,"family":"Czuba","given":"Jonathan A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":353273,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oberg, Kevin","contributorId":89385,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","affiliations":[],"preferred":false,"id":353279,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mier, Jose M.","contributorId":59280,"corporation":false,"usgs":true,"family":"Mier","given":"Jose","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":353277,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Best, James L.","contributorId":47222,"corporation":false,"usgs":true,"family":"Best","given":"James","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":353275,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parsons, Daniel R.","contributorId":35170,"corporation":false,"usgs":true,"family":"Parsons","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":353274,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ashmore, Peter","contributorId":104327,"corporation":false,"usgs":true,"family":"Ashmore","given":"Peter","email":"","affiliations":[],"preferred":false,"id":353281,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krishnappan, Bommanna G.","contributorId":15055,"corporation":false,"usgs":true,"family":"Krishnappan","given":"Bommanna","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":353272,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":353278,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70039277,"text":"ofr20121128 - 2012 - Assessment of soil-gas and groundwater contamination at the Gibson Road landfill, Fort Gordon, Georgia, 2011","interactions":[],"lastModifiedDate":"2018-08-15T14:57:15","indexId":"ofr20121128","displayToPublicDate":"2012-07-31T00:00:00","publicationYear":"2012","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":"2012-1128","title":"Assessment of soil-gas and groundwater contamination at the Gibson Road landfill, Fort Gordon, Georgia, 2011","docAbstract":"Soil-gas and groundwater assessments were conducted at the Gibson Road landfill in 201 to provide screening-level environmental contamination data to supplement the data collected during previous environmental studies at the landfill. Passive samplers were used in both assessments to detect volatile and semivolatile organic compounds and polycyclic aromatic hydrocarbons in soil gas and groundwater. A total of 56 passive samplers were deployed in the soil in late July and early August for the soil-gas assessment. Total petroleum hydrocarbons (TPH) were detected at masses greater than the method detection level of 0.02 microgram in all samplers and masses greater than 2.0 micrograms in 13 samplers. Three samplers located between the landfill and a nearby wetland had TPH masses greater than 20 micrograms. Diesel was detected in 28 of the 56 soil-gas samplers. Undecane, tridecane, and pentadecane were detected, but undecane was the most common diesel compound with 23 detections. Only five detections exceeded a combined diesel mass of 0.10 microgram, including the highest mass of 0.27 microgram near the wetland. Toluene was detected in only five passive samplers, including masses of 0.65 microgram near the wetland and 0.85 microgram on the southwestern side of the landfill. The only other gasoline-related compound detected was octane in two samplers. Naphthalene was detected in two samplers in the gully near the landfill and two samplers along the southwestern side of the landfill, but had masses less than or equal to 0.02 microgram. Six samplers located southeast of the landfill had detections of chlorinated compounds, including one perchloroethene detections (0.04 microgram) and five chloroform detections (0.05 to0.08 microgram). Passive samplers were deployed and recovered on August 8, 2011, in nine monitoring wells along the southwestern, southeastern and northeastern sides of the landfill and down gradient from the eastern corner of the landfill. Six of the nine samplers had TPH concentrations greater than 100 micrograms per liter. TPH concentrations declined from 320 micrograms per liter in a sampler near the landfill to 18 micrograms in a sampler near the wetland. Five of the samplers had detections of one or more diesel compounds but detections of individual diesel compounds had concentrations below a method detection level of 0.01 microgram per liter. Benzene was detected in three samplers and exceeded the national primary drinking-water standard of 5 micrograms per liter set by the U.S. Environmental Protection Agency. The concentrations of benzene, and therefore BTEX, were 6.1 micrograms per liter in the sampler near the eastern corner of the landfill, 27 micrograms per liter in the sampler near the wetland, and 37 micrograms per liter in the sampler at the southern corner of the landfill. Nonfuel-related compounds were detected in the four wells that are aligned between the eastern corner of the landfill and the wetland. The sampler deployed nearest the eastern corner of the landfill had the greatest number of detected organic compounds and had the only detections of two trimethylbenzene compounds, naphthalene, 2-methyl naphthalene, and 1,4-dichlorobenzene. The two up gradient samplers had the greatest number of chlorinated compounds with five compounds each, compared to detections of four compounds and one compound in the two down gradient samplers. All four samplers had detections of 1,1-dichloroethane which ranged from 42 to 1,300 micrograms per liter. Other detections of chlorinated compounds included trichloroethene, perchloroethene, cis-1,2-dichloroethene, 1,1,1-trichloroethane and chloroform.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121128","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon","usgsCitation":"Falls, W.F., Caldwell, A.W., Guimaraes, W., Ratliff, W.H., Wellborn, J.B., and Landmeyer, J., 2012, Assessment of soil-gas and groundwater contamination at the Gibson Road landfill, Fort Gordon, Georgia, 2011: U.S. Geological Survey Open-File Report 2012-1128, v, 27 p.; Tables; col. ill.; map (col.), https://doi.org/10.3133/ofr20121128.","productDescription":"v, 27 p.; Tables; col. ill.; map (col.)","startPage":"i","endPage":"27","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-07-01","temporalEnd":"2011-08-31","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":259307,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1128.jpg"},{"id":259297,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1128/","linkFileType":{"id":5,"text":"html"}},{"id":259298,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1128/pdf/USGS_ofr2012-1128_Falls.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Georgia","otherGeospatial":"Fort Gordon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee56e4b0c8380cd49cec","contributors":{"authors":[{"text":"Falls, W. Fred 0000-0003-2928-9795 wffalls@usgs.gov","orcid":"https://orcid.org/0000-0003-2928-9795","contributorId":107754,"corporation":false,"usgs":true,"family":"Falls","given":"W.","email":"wffalls@usgs.gov","middleInitial":"Fred","affiliations":[],"preferred":false,"id":465948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":3228,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral","email":"acaldwel@usgs.gov","middleInitial":"W.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guimaraes, Wladmir G.","contributorId":10658,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir G.","affiliations":[],"preferred":false,"id":465945,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ratliff, W. Hagan","contributorId":60347,"corporation":false,"usgs":true,"family":"Ratliff","given":"W.","email":"","middleInitial":"Hagan","affiliations":[],"preferred":false,"id":465947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wellborn, John B.","contributorId":24822,"corporation":false,"usgs":true,"family":"Wellborn","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":465946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465944,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039275,"text":"ofr20121127 - 2012 - Assessment of soil-gas contamination at the 17th Street landfill, Fort Gordon, Georgia, 2011","interactions":[],"lastModifiedDate":"2018-08-15T14:56:52","indexId":"ofr20121127","displayToPublicDate":"2012-07-31T00:00:00","publicationYear":"2012","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":"2012-1127","title":"Assessment of soil-gas contamination at the 17th Street landfill, Fort Gordon, Georgia, 2011","docAbstract":"Assessments of contaminants in soil gas were conducted in two study areas at Fort Gordon, Georgia, in July and August of 2011 to supplement environmental contaminant data for previous studies at the 17th Street landfill. The two study areas include northern and eastern parts of the 17th Street landfill and the adjacent wooded areas to the north and east of the landfill. These study areas were chosen because of their close proximity to the surface water in Wilkerson Lake and McCoys Creek. A total of 48 soil-gas samplers were deployed for the July 28 to August 3, 2011, assessment in the eastern study area. The assessment mostly identified detections of total petroleum hydrocarbons (TPH), and gasoline- and diesel-range compounds, but also identified the presence of chlorinated solvents in six samplers, chloroform in three samplers, 2-methyl naphthalene in one sampler, and trimethylbenzene in one sampler. The TPH masses exceeded 0.02 microgram (&mu;g) in all 48 samplers and exceeded 0.9 &mu;g in 24 samplers. Undecane, one of the three diesel-range compounds used to calculate the combined mass for diesel-range compounds, was detected in 17 samplers and is the second most commonly detected compound in the eastern study area, exceeded only by the number of TPH detections. Six samplers had detections of toluene, but other gasoline compounds were detected with toluene in three of the samplers, including detections of ethylbenzene, meta- and para-xylene, and octane. All detections of chlorinated organic compounds had soil-gas masses equal to or less than 0.08 &mu;g, including three detections of trichloroethene, three detections of perchloroethene, three chloroform detections, one 1,4-dichlorobenzene detection, and one 1,1,2-trichloroethane detection. Three methylated compounds were detected in the eastern study area, but were detected at or below method detection levels. A total of 32 soil-gas samplers were deployed for the August 11&ndash;24, 2011, assessment in the northern study area. All samplers in the survey had detections of TPH, but only eight of the samplers had detections of TPH greater than 0.9 mg. Four samplers had TPH detections greater than 9 mg; the only other fuel-related compounds detected in these four samplers included toluene in three of the samplers and undecane in the fourth sampler. Three samplers deployed along the western margin of the northern landfill had detections of both diesel-and gasoline-related compounds; however, the diesel-related compounds were detected at or below method detection levels. Seven samplers in the northern study area had detections of chlorinated compounds, including three perchloroethene detections, three chloroform detections, and one 1,4-dichloro-benzene detection. One sampler on the western margin of the landfill had detections of 1,2,4-trimethylbenzene and 1,3,5-tr-methylbenene below method detection levels.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121127","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon","usgsCitation":"Falls, W.F., Caldwell, A.W., Guimaraes, W., Ratliff, W.H., Wellborn, J.B., and Landmeyer, J., 2012, Assessment of soil-gas contamination at the 17th Street landfill, Fort Gordon, Georgia, 2011: U.S. Geological Survey Open-File Report 2012-1127, v, 41 p.; Tables; col. ill.; maps, https://doi.org/10.3133/ofr20121127.","productDescription":"v, 41 p.; Tables; col. ill.; maps","startPage":"i","endPage":"41","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-07-28","temporalEnd":"2011-08-24","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":259306,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1127.jpg"},{"id":259296,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1127/pdf/USGS_ofr2012-1127_Falls.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259295,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1127/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","otherGeospatial":"Fort Gordon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee59e4b0c8380cd49cf2","contributors":{"authors":[{"text":"Falls, W. Fred 0000-0003-2928-9795 wffalls@usgs.gov","orcid":"https://orcid.org/0000-0003-2928-9795","contributorId":107754,"corporation":false,"usgs":true,"family":"Falls","given":"W.","email":"wffalls@usgs.gov","middleInitial":"Fred","affiliations":[],"preferred":false,"id":465942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":3228,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral","email":"acaldwel@usgs.gov","middleInitial":"W.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guimaraes, Wladmir G.","contributorId":10658,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir G.","affiliations":[],"preferred":false,"id":465939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ratliff, W. Hagan","contributorId":60347,"corporation":false,"usgs":true,"family":"Ratliff","given":"W.","email":"","middleInitial":"Hagan","affiliations":[],"preferred":false,"id":465941,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wellborn, John B.","contributorId":24822,"corporation":false,"usgs":true,"family":"Wellborn","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":465940,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465938,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039284,"text":"sim3210 - 2012 - Flood-inundation maps for the Driftwood River and Sugar Creek near Edinburgh, Indiana","interactions":[],"lastModifiedDate":"2012-08-01T01:01:41","indexId":"sim3210","displayToPublicDate":"2012-07-31T00:00:00","publicationYear":"2012","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":"3210","title":"Flood-inundation maps for the Driftwood River and Sugar Creek near Edinburgh, Indiana","docAbstract":"Digital flood-inundation maps for an 11.2 mile reach of the Driftwood River and a 5.2 mile reach of Sugar Creek, both near Edinburgh, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Camp Atterbury Joint Maneuver Training Center, Edinburgh, Indiana. 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 the USGS streamgage 03363000 Driftwood River near Edinburgh, Ind. Current conditions at the USGS streamgage in Indiana may be obtained on the Internet at http://waterdata.usgs.gov/in/nwis/current/?type=flow. In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system at http://water.weather.gov/ahps/. The NWS forecasts flood hydrographs at many places that are often collocated at USGS streamgages. That forecasted peak-stage information, also available on the Internet, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. For this study, flood profiles were computed for the stream reaches by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relations at the USGS streamgage 03363000 Driftwood River near Edinburgh, Ind. The hydraulic model was then used to determine elevations throughout the study reaches for nine water-surface profiles for flood stages at 1-ft intervals referenced to the streamgage datum and ranging from bankfull to nearly the highest recorded water level at the USGS streamgage 03363000 Driftwood River near Edinburgh, Ind. The simulated water-surface profiles were then combined with a geospatial digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level. The availability of these maps along with real-time information available online regarding current stage from USGS streamgages and forecasted stream stages from the NWS 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/sim3210","collaboration":"Prepared in cooperation with Camp Atterbury Joint Maneuver Training Center, Edinburgh, Indiana","usgsCitation":"Fowler, K.K., Kim, M.H., and Menke, C.D., 2012, Flood-inundation maps for the Driftwood River and Sugar Creek near Edinburgh, Indiana: U.S. Geological Survey Scientific Investigations Map 3210, v, 8 p.; map (col.); 8 MB PDF Downloads of Sheets 1-9: 17 x 22 inches; 1.1 MB PDF Downloads of Sheets 1-9: 17 x 22 inches; Downloads Directory, https://doi.org/10.3133/sim3210.","productDescription":"v, 8 p.; map (col.); 8 MB PDF Downloads of Sheets 1-9: 17 x 22 inches; 1.1 MB PDF Downloads of Sheets 1-9: 17 x 22 inches; Downloads Directory","startPage":"i","endPage":"8","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":259330,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3210.gif"},{"id":259318,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3210/SIM3210_Pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259317,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3210/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Indiana","city":"Edinburgh","otherGeospatial":"Sugar Creek;Driftwood River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1167e4b0c8380cd53fa7","contributors":{"authors":[{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim, Moon H. 0000-0002-4328-8409 mkim@usgs.gov","orcid":"https://orcid.org/0000-0002-4328-8409","contributorId":3211,"corporation":false,"usgs":true,"family":"Kim","given":"Moon","email":"mkim@usgs.gov","middleInitial":"H.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Menke, Chad D. cdmenke@usgs.gov","contributorId":3209,"corporation":false,"usgs":true,"family":"Menke","given":"Chad","email":"cdmenke@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":465961,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039286,"text":"sir20125154 - 2012 - Hydrogeology and simulation of groundwater flow and land-surface subsidence in the northern part of the Gulf Coast aquifer system, Texas, 1891-2009","interactions":[],"lastModifiedDate":"2022-07-29T15:49:25.221798","indexId":"sir20125154","displayToPublicDate":"2012-07-31T00:00:00","publicationYear":"2012","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":"2012-5154","title":"Hydrogeology and simulation of groundwater flow and land-surface subsidence in the northern part of the Gulf Coast aquifer system, Texas, 1891-2009","docAbstract":"<p>In cooperation with the Harris&ndash;Galveston Subsidence District, Fort Bend Subsidence District, and Lone Star Groundwater Conservation District, the U.S. Geological Survey developed and calibrated the Houston Area Groundwater Model (HAGM), which simulates groundwater flow and land-surface subsidence in the northern part of the Gulf Coast aquifer system in Texas from predevelopment (before 1891) through 2009. Withdrawal of groundwater since development of the aquifer system has resulted in potentiometric surface (hydraulic head, or head) declines in the Gulf Coast aquifer system and land-surface subsidence (primarily in the Houston area) from depressurization and compaction of clay layers interbedded in the aquifer sediments.</p>\n<p>The MODFLOW-2000 groundwater flow model described in this report comprises four layers, one for each of the hydrogeologic units of the aquifer system except the Catahoula confining system, the assumed no-flow base of the system. The HAGM is composed of 137 rows and 245 columns of 1-square-mile grid cells with lateral no-flow boundaries at the extent of each hydrogeologic unit to the northwest, at groundwater divides associated with large rivers to the southwest and northeast, and at the downdip limit of freshwater to the southeast. The model was calibrated within the specified criteria by using trial-and-error adjustment of selected model-input data in a series of transient simulations until the model output (potentiometric surfaces, land-surface subsidence, and selected water-budget components) acceptably reproduced field measured (or estimated) aquifer responses including water level and subsidence. The HAGM-simulated subsidence generally compared well to 26 Predictions Relating Effective Stress to Subsidence (PRESS) models in Harris, Galveston, and Fort Bend Counties. Simulated HAGM results indicate that as much as 10 feet (ft) of subsidence has occurred in southeastern Harris County. Measured subsidence and model results indicate that a larger geographic area encompassing this area of maximum subsidence and much of central to southeastern Harris County has subsided at least 6 ft. For the western part of the study area, the HAGM simulated as much as 3 ft of subsidence in Wharton, Jackson, and Matagorda Counties. For the eastern part of the study area, the HAGM simulated as much as 3 ft of subsidence at the boundary of Hardin and Jasper Counties. Additionally, in the southeastern part of the study area in Orange County, the HAGM simulated as much as 3 ft of subsidence. Measured subsidence for these areas in the western and eastern parts of the HAGM has not been documented.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125154","collaboration":"Prepared in cooperation with the Harris–Galveston Subsidence District, the Fort Bend Subsidence District, and the Lone Star Groundwater Conservation District","usgsCitation":"Kasmarek, M.C., 2012, Hydrogeology and simulation of groundwater flow and land-surface subsidence in the northern part of the Gulf Coast aquifer system, Texas, 1891-2009 (Originally posted July 31, 2012; Revised December 2, 2013): U.S. Geological Survey Scientific Investigations Report 2012-5154, ix, 55 p., https://doi.org/10.3133/sir20125154.","productDescription":"ix, 55 p.","numberOfPages":"69","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":404562,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5154/","linkFileType":{"id":5,"text":"html"}},{"id":259327,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5154.gif"},{"id":259324,"rank":299,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5154/pdf/sir2012-5154.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Texas","otherGeospatial":"Gulf Coast Aquifer System","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.38,29.03 ], [ -96.38,31.18 ], [ -93.51,31.18 ], [ -93.51,29.03 ], [ -96.38,29.03 ] ] ] } } ] }","edition":"Originally posted July 31, 2012; Revised December 2, 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a345ce4b0c8380cd5f6ea","contributors":{"authors":[{"text":"Kasmarek, Mark C. 0000-0003-2808-2506 mckasmar@usgs.gov","orcid":"https://orcid.org/0000-0003-2808-2506","contributorId":1968,"corporation":false,"usgs":true,"family":"Kasmarek","given":"Mark","email":"mckasmar@usgs.gov","middleInitial":"C.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465965,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039274,"text":"sir20125133 - 2012 - Topographic change detection at select archeological sites in Grand Canyon National Park, Arizona, 2007-2010","interactions":[],"lastModifiedDate":"2023-06-22T16:14:44.710649","indexId":"sir20125133","displayToPublicDate":"2012-07-31T00:00:00","publicationYear":"2012","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":"2012-5133","title":"Topographic change detection at select archeological sites in Grand Canyon National Park, Arizona, 2007-2010","docAbstract":"Human occupation in Grand Canyon, Arizona, dates from at least 11,000 years before present to the modern era. For most of this period, the only evidence of human occupation in this iconic landscape is provided by archeological sites. Because of the dynamic nature of this environment, many archeological sites are subject to relatively rapid topographic change. Quantifying the extent, magnitude, and cause of such change is important for monitoring and managing these archeological sites. Such quantification is necessary to help inform the continuing debate on whether and how controlled releases from Glen Canyon Dam, located immediately upstream of Grand Canyon National Park, are affecting site erosion rates, artifact transport, and archeological resource preservation along the Colorado River in Grand Canyon. Although long-term topographic change resulting from a variety of natural processes is inherent in the Grand Canyon region, continued erosion of archeological sites threatens both the archeological resources and our future ability to study evidence of past cultural habitation. Thus, this subject is of considerable interest to National Park Service managers and other stakeholders in the Glen Canyon Dam Adaptive Management Program. Understanding the causes and effects of archeological site erosion requires a knowledge of several factors, including the location, timing, and magnitude of the changes occurring in relation to archeological resources, the rates of change, and the relative contribution of potential causes. These potential causes include sediment depletion associated with managed flows from Glen Canyon Dam, site-specific weather and overland flow patterns, visitor impacts, and long-term regional climate change. To obtain this information, highly accurate, spatially specific data are needed from sites undergoing change. Using terrestrial lidar techniques, and building upon three previous surveys of archeological sites performed in 2006 and 2007, we collected two new datasets in April and September 2010 and processed and improved upon existing methods to generate high-accuracy (3 to 5 cm vertical change threshold) topographic change-detection maps for 10 survey areas encompassing 9 archeological sites along the Colorado River corridor. We also used terrestrial lidar techniques to investigate several other metrics for studying archeological site stability, including monitoring cultural structures and artifacts and remotely measuring cryptobiotic soil crust areas. Our topographic change results indicate that 9 of 10 survey areas showed signs of either erosion, deposition, or both during the 2007&ndash;2010 time interval and that these changes can be linked to a variety of geomorphic processes, primarily overland flow gullying and aeolian sand transport. In several cases, large (>50 cm) vertical change occurred, and in one case, more than 100 m<sup>3</sup> of sediment was eroded. Further, for all sites monitored throughout the river corridor during this time period, the overall signal was related to erosion rather than deposition. These results highlight the potential for rapid archeological site change in Grand Canyon. Whereas the topographic change results presented herein provide the highest level of change detection yet performed on entire archeological sites in Grand Canyon, additional work in combining these results with site-specific weather, hydrology, and geomorphology data is needed to provide a more thorough understanding of the causes of the documented topographic changes. Linking lidar-derived measurements of topographic changes with these other data sources should provide land managers with a scientific basis for making management decisions regarding archeological resources in Grand Canyon National Park and assist in answering open questions regarding the influence that sediment-depleted flows from Glen Canyon Dam have on archeological site stability.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125133","usgsCitation":"Collins, B., Corbett, S., Fairley, H., Minasian, D.L., Kayen, R., Dealy, T.P., and Bedford, D., 2012, Topographic change detection at select archeological sites in Grand Canyon National Park, Arizona, 2007-2010: U.S. Geological Survey Scientific Investigations Report 2012-5133, v, 77 p., https://doi.org/10.3133/sir20125133.","productDescription":"v, 77 p.","numberOfPages":"87","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":259305,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":259289,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5133/","linkFileType":{"id":5,"text":"html"}},{"id":259290,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5133/sir2012-5133.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.39524352909292,\n              37.00360340661588\n            ],\n            [\n              -114.02292843711835,\n              37.00360340661588\n            ],\n            [\n              -114.02292843711835,\n              35.681448620745286\n            ],\n            [\n              -111.39524352909292,\n              35.681448620745286\n            ],\n            [\n              -111.39524352909292,\n              37.00360340661588\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb477e4b08c986b3263a6","contributors":{"authors":[{"text":"Collins, Brian D.","contributorId":71641,"corporation":false,"usgs":true,"family":"Collins","given":"Brian D.","affiliations":[],"preferred":false,"id":465936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corbett, Skye C.","contributorId":54844,"corporation":false,"usgs":true,"family":"Corbett","given":"Skye C.","affiliations":[],"preferred":false,"id":465935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fairley, Helen C.","contributorId":10506,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen C.","affiliations":[],"preferred":false,"id":465931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minasian, Diane L. dminasian@usgs.gov","contributorId":3232,"corporation":false,"usgs":true,"family":"Minasian","given":"Diane","email":"dminasian@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":465930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kayen, Robert","contributorId":12030,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert","affiliations":[],"preferred":false,"id":465932,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dealy, Timothy P.","contributorId":19263,"corporation":false,"usgs":true,"family":"Dealy","given":"Timothy","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":465933,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bedford, David R.","contributorId":26352,"corporation":false,"usgs":true,"family":"Bedford","given":"David R.","affiliations":[],"preferred":false,"id":465934,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70039273,"text":"sir20125096 - 2012 - Biological assessment and streambed-sediment chemistry of streams in the Indianapolis metropolitan area, Indiana, 2003&ndash;2008","interactions":[],"lastModifiedDate":"2012-08-01T01:01:41","indexId":"sir20125096","displayToPublicDate":"2012-07-31T00:00:00","publicationYear":"2012","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":"2012-5096","title":"Biological assessment and streambed-sediment chemistry of streams in the Indianapolis metropolitan area, Indiana, 2003&ndash;2008","docAbstract":"During 2003&ndash;2008, the U.S. Geological Survey sampled 13 sites in the Indianapolis metropolitan area in Indiana for benthic invertebrates, fish communities, and streambed-sediment chemistry. Data from seven White River sites and six tributary sites complement surface-water chemistry data collected by the Indianapolis Department of Public Works. The information is being used to assess changes in water quality in conjunction with the City's programs to reduce combined sewer overflows and other point and nonpoint sources of pollution in the Indianapolis area. During the study, 233 benthic-invertebrate taxa were identified from which the Ephemeroptera, Plecoptera, and Trichoptera (EPT) Index, the Hilsenhoff Biotic Index (HBI), and the Invertebrate Community Index (ICI) were calculated. EPT index scores ranged from 2 to 16 on the White River and from 2 to 17 on the tributaries. EPT index scores indicate that these pollution-intolerant taxa are more prevalent upstream from and away from the combined-sewer areas of Indianapolis. HBI scores from sites on the White River ranged from 4.67 (good) to 9.55 (very poor), whereas on the tributaries, scores ranged from 4.21 (very good) to 8.14 (poor). Lower HBI scores suggest that less organic pollution was present and, like the EPT scores, indicate better conditions where combined-sewer overflows (CSOs) are not present. Similarly, ICI scores indicated better conditions upstream from the CSO outfalls on the White River. White River scores ranged from 12 to 46, where higher ICI scores indicate better conditions in the benthic-invertebrate community. ICI scores at the tributary sites ranged from 12 to 52, with the highest scores on streams without CSOs.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125096","collaboration":"Prepared in cooperation with the Indianapolis Department of Public Works, Engineering Division","usgsCitation":"Voelker, D.C., 2012, Biological assessment and streambed-sediment chemistry of streams in the Indianapolis metropolitan area, Indiana, 2003&ndash;2008: U.S. Geological Survey Scientific Investigations Report 2012-5096, xiii, 53 p. ; col. ill.; Tables; Appendices; PDF Downloads of Appendices 1-3; ZIP Downloads of Appendices 1-3, https://doi.org/10.3133/sir20125096.","productDescription":"xiii, 53 p. ; col. ill.; Tables; Appendices; PDF Downloads of Appendices 1-3; ZIP Downloads of Appendices 1-3","startPage":"i","endPage":"53","numberOfPages":"72","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2003-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":259287,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":259285,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//sir/2012/5096/","linkFileType":{"id":5,"text":"html"}},{"id":259286,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov//sir/2012/5096/pdf/sir2012-5096_web.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Indiana","city":"Indianapolis","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f163e4b0c8380cd4ac26","contributors":{"authors":[{"text":"Voelker, David C. dvoelker@usgs.gov","contributorId":278,"corporation":false,"usgs":true,"family":"Voelker","given":"David","email":"dvoelker@usgs.gov","middleInitial":"C.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465929,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039272,"text":"ofr20121159 - 2012 - Radon-222 content of natural gas samples from Upper and Middle Devonian sandstone and shale reservoirs in Pennsylvania&mdash;preliminary data","interactions":[],"lastModifiedDate":"2017-06-10T11:18:59","indexId":"ofr20121159","displayToPublicDate":"2012-07-31T00:00:00","publicationYear":"2012","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":"2012-1159","title":"Radon-222 content of natural gas samples from Upper and Middle Devonian sandstone and shale reservoirs in Pennsylvania&mdash;preliminary data","docAbstract":"Samples of natural gas were collected as part of a study of formation water chemistry in oil and gas reservoirs in the Appalachian Basin. Nineteen samples (plus two duplicates) were collected from 11 wells producing gas from Upper Devonian sandstones and the Middle Devonian Marcellus Shale in Pennsylvania. The samples were collected from valves located between the wellhead and the gas-water separator. Analyses of the radon content of the gas indicated 222Rn (radon-222) activities ranging from 1 to 79 picocuries per liter (pCi/L) with an overall median of 37 pCi/L. The radon activities of the Upper Devonian sandstone samples overlap to a large degree with the activities of the Marcellus Shale samples.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121159","usgsCitation":"Rowan, E., and Kraemer, T.F., 2012, Radon-222 content of natural gas samples from Upper and Middle Devonian sandstone and shale reservoirs in Pennsylvania&mdash;preliminary data: U.S. Geological Survey Open-File Report 2012-1159, iii, 6 p., https://doi.org/10.3133/ofr20121159.","productDescription":"iii, 6 p.","startPage":"i","endPage":"6","numberOfPages":"9","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":259288,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":259283,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1159/","linkFileType":{"id":5,"text":"html"}},{"id":259284,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1159/ofr2012-1159.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Pennsylvania","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a9446e4b0c8380cd812e3","contributors":{"authors":[{"text":"Rowan, E. L. 0000-0001-5753-6189","orcid":"https://orcid.org/0000-0001-5753-6189","contributorId":34921,"corporation":false,"usgs":true,"family":"Rowan","given":"E. L.","affiliations":[],"preferred":false,"id":465927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraemer, T. F.","contributorId":63400,"corporation":false,"usgs":true,"family":"Kraemer","given":"T.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":465928,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039268,"text":"ofr20121155 - 2012 - National climate assessment technical report on the impacts of climate and land use and land cover change","interactions":[],"lastModifiedDate":"2012-07-31T01:01:47","indexId":"ofr20121155","displayToPublicDate":"2012-07-30T00:00:00","publicationYear":"2012","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":"2012-1155","title":"National climate assessment technical report on the impacts of climate and land use and land cover change","docAbstract":"This technical report responds to the recognition by the U.S. Global Change Research Program (USGCRP) and the National Climate Assessment (NCA) of the importance of understanding how land use and land cover (LULC) affects weather and climate variability and change and how that variability and change affects LULC. Current published, peer-reviewed, scientific literature and supporting data from both existing and original sources forms the basis for this report's assessment of the current state of knowledge regarding land change and climate interactions. The synthesis presented herein documents how current and future land change may alter environment processes and in turn, how those conditions may affect both land cover and land use by specifically investigating, * The primary contemporary trends in land use and land cover, * The land-use and land-cover sectors and regions which are most affected by weather and climate variability,* How land-use practices are adapting to climate change, * How land-use and land-cover patterns and conditions are affecting weather and climate, and * The key elements of an ongoing Land Resources assessment. These findings present information that can be used to better assess land change and climate interactions in order to better assess land management and adaptation strategies for future environmental change and to assist in the development of a framework for an ongoing national assessment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121155","usgsCitation":"Loveland, T., Mahmood, R., Patel-Weynand, T., Karstensen, K., Beckendorf, K., Bliss, N., and Carleton, A., 2012, National climate assessment technical report on the impacts of climate and land use and land cover change: U.S. Geological Survey Open-File Report 2012-1155, vi, 86 p.; col. ill.; maps (col.), https://doi.org/10.3133/ofr20121155.","productDescription":"vi, 86 p.; col. ill.; maps (col.)","startPage":"i","endPage":"86","numberOfPages":"92","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":259275,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1155.gif"},{"id":259253,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1155/","linkFileType":{"id":5,"text":"html"}},{"id":259254,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1155/of2012-1155.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6263e4b0c8380cd71ebd","contributors":{"authors":[{"text":"Loveland, Thomas 0000-0003-3114-6646","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":103924,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","affiliations":[],"preferred":false,"id":465909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahmood, Rezaul","contributorId":34376,"corporation":false,"usgs":true,"family":"Mahmood","given":"Rezaul","affiliations":[],"preferred":false,"id":465906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patel-Weynand, Toral","contributorId":26566,"corporation":false,"usgs":true,"family":"Patel-Weynand","given":"Toral","email":"","affiliations":[],"preferred":false,"id":465904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karstensen, Krista","contributorId":97758,"corporation":false,"usgs":true,"family":"Karstensen","given":"Krista","affiliations":[],"preferred":false,"id":465908,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beckendorf, Kari","contributorId":23379,"corporation":false,"usgs":true,"family":"Beckendorf","given":"Kari","email":"","affiliations":[],"preferred":false,"id":465903,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bliss, Norman 0000-0003-2409-5211","orcid":"https://orcid.org/0000-0003-2409-5211","contributorId":32485,"corporation":false,"usgs":true,"family":"Bliss","given":"Norman","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":465905,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carleton, Andrew","contributorId":58510,"corporation":false,"usgs":true,"family":"Carleton","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":465907,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70039266,"text":"ofr20121158 - 2012 - Probability and volume of potential postwildfire debris flows in the 2012 Waldo Canyon Burn Area near Colorado Springs, Colorado","interactions":[],"lastModifiedDate":"2012-07-31T01:01:47","indexId":"ofr20121158","displayToPublicDate":"2012-07-30T00:00:00","publicationYear":"2012","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":"2012-1158","title":"Probability and volume of potential postwildfire debris flows in the 2012 Waldo Canyon Burn Area near Colorado Springs, Colorado","docAbstract":"This report presents a preliminary emergency assessment of the debris-flow hazards from drainage basins burned by the 2012 Waldo Canyon fire near Colorado Springs in El Paso County, Colorado. Empirical models derived from statistical evaluation of data collected from recently burned basins throughout the intermountain western United States were used to estimate the probability of debris-flow occurrence and potential volume of debris flows along the drainage network of the burned area and to estimate the same for 22 selected drainage basins along U.S. Highway 24 and the perimeter of the burned area. Input data for the models included topographic parameters, soil characteristics, burn severity, and rainfall totals and intensities for a (1) 2-year-recurrence, 1-hour-duration rainfall, referred to as a 2-year storm (29 millimeters); (2) 10-year-recurrence, 1-hour-duration rainfall, referred to as a 10-year storm (42 millimeters); and (3) 25-year-recurrence, 1-hour-duration rainfall, referred to as a 25-year storm (48 millimeters). Estimated debris-flow probabilities at the pour points of the the drainage basins of interest ranged from less than 1 to 54 percent in response to the 2-year storm; from less than 1 to 74 percent in response to the 10-year storm; and from less than 1 to 82 percent in response to the 25-year storm. Basins and drainage networks with the highest probabilities tended to be those on the southern and southeastern edge of the burn area where soils have relatively high clay contents and gradients are steep. Nine of the 22 drainage basins of interest have greater than a 40-percent probability of producing a debris flow in response to the 10-year storm. Estimated debris-flow volumes for all rainfalls modeled range from a low of 1,500 cubic meters to a high of greater than 100,000 cubic meters. Estimated debris-flow volumes increase with basin size and distance along the drainage network, but some smaller drainages were also predicted to produce substantial volumes of material. The predicted probabilities and some of the volumes predicted for the modeled storms indicate a potential for substantial debris-flow impacts on structures, reservoirs, roads, bridges, and culverts located both within and immediately downstream from the burned area. U.S. Highway 24, on the southern edge of the burn area, is also susceptible to impacts from debris flows.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121158","collaboration":"Prepared in cooperation with Colorado Department of Transportation","usgsCitation":"Verdin, K.L., Dupree, J.A., and Elliott, J.G., 2012, Probability and volume of potential postwildfire debris flows in the 2012 Waldo Canyon Burn Area near Colorado Springs, Colorado: U.S. Geological Survey Open-File Report 2012-1158, vi, 8 p.; maps (col.); 2 Plates: 34 x 22 inches, https://doi.org/10.3133/ofr20121158.","productDescription":"vi, 8 p.; maps (col.); 2 Plates: 34 x 22 inches","startPage":"i","endPage":"8","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2012-06-23","temporalEnd":"2012-07-30","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":259246,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1158.gif"},{"id":259244,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1158/OF12-1158.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259243,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1158/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","county":"El Paso County","city":"Colorado Springs","otherGeospatial":"Waldo Canyon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8ca9e4b0c8380cd7e7fc","contributors":{"authors":[{"text":"Verdin, Kristine L. 0000-0002-6114-4660 kverdin@usgs.gov","orcid":"https://orcid.org/0000-0002-6114-4660","contributorId":3070,"corporation":false,"usgs":true,"family":"Verdin","given":"Kristine","email":"kverdin@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":465892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dupree, Jean A. dupree@usgs.gov","contributorId":2563,"corporation":false,"usgs":true,"family":"Dupree","given":"Jean","email":"dupree@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":465891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, John G. jelliott@usgs.gov","contributorId":832,"corporation":false,"usgs":true,"family":"Elliott","given":"John","email":"jelliott@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":465890,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039267,"text":"pp1789 - 2012 - Water quality and landscape processes of four watersheds in eastern Puerto Rico","interactions":[],"lastModifiedDate":"2012-07-31T01:01:47","indexId":"pp1789","displayToPublicDate":"2012-07-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1789","title":"Water quality and landscape processes of four watersheds in eastern Puerto Rico","docAbstract":"Humid tropical regions occupy about a quarter of Earth's land surface, yet they contribute a substantially higher fraction of the water, solutes, and sediment discharged to the world's oceans. Nearly half of Earth's population lives in the tropics, and development stresses can potentially harm soil resources, water quality, and water supply and in addition increase landslide and flood hazards. Owing to Puerto Rico's steep topography, low water storage capacity, and dependence on trade-wind precipitation, the island's people, ecosystems, and water supply are vulnerable to extreme weather such as hurricanes, floods, and droughts. Eastern Puerto Rico offers a natural laboratory for separating geologic and land-cover influences from regional- and global-scale influences because of its various bedrock types and the changing land cover surrounding intact, mature forest of the Luquillo Experimental Forest. Accordingly, a multiyear assessment of hydrological and biogeochemical processes was designed to develop an understanding of the effects of these differences on local climate, streamflow, water quality, and ecosystems, and to form the basis for a long-term and event-based program of climate and hydrologic monitoring. Because infrequent, large storms play a major role in this landscape, we focused on high-runoff events, sampling 263 storms, including all major hurricanes from 1991 through 2005. The largest storms have profound geomorphic consequences, such as landslides, debris flows, deep gullying on deforested lands, excavation and suspension of sediment in stream channels, and delivery of a substantial fraction of annual stream sediment load. Large storms sometimes entrain ocean foam and spray causing high concentrations of seasalt-derived constituents in stream waters during the storm. Past deforestation and agricultural activities in the Cayagu&aacute;s and Can&oacute;vanas watersheds accelerated erosion and soil loss, and this material continues to be remobilized during large storms. Nearly 5,000 routine and event samples were analyzed for parameters that allow determination of denudation rates based on suspended and dissolved loads; 860 of these samples were analyzed for a comprehensive suite of chemical constituents. The rivers studied are generally similar in water-quality characteristics, and windward or leeward aspect appears to exert a stronger influence on water quality than geology or land cover. Of samples analyzed for comprehensive chemistry and for sediment, 543 were collected at runoff rates greater than 1 millimeter per hour, 256 at rates exceeding 10 millimeters per hour, and 3 at rates exceeding 90 millimeters per hour. Streams have rarely been sampled during events with such high runoff rates. Rates of physical and chemical weathering are especially high, and physical denudation rates, forested watersheds included, are considerably greater than is expected for a steady-state system. The elevated physical erosion drives an increased particulate organic carbon flux, one that is large, important to the carbon cycle, and sustainable, because soil-carbon regeneration is rapid. The 15-year Water, Energy, and Biogeochemical Budget dataset, which includes discharge, field parameters, suspended sediment, major cations and anions, and nutrients, is available from the U.S. Geological Survey's National Water Information System (http://waterdata.usgs.gov/nwis). The dataset provides a baseline for characterizing future environmental change and will improve our understanding of the interdependencies of land, water, and biological resources and their responses to changes in climate and land use. Because eastern Puerto Rico resembles many tropical regions in terms of geology and patterns of development, implications from this study are transferable to other tropical regions facing deforestation, rapid land-use change, and climate change.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1789","usgsCitation":"Murphy, S.F., Stallard, R.F., Contributions by Buss, H.L., Gould, W.A., Larsen, M.C., Liu, Z., Martinuzzi, S., Pares-Ramos, I., White, A.F., and Zou, X., 2012, Water quality and landscape processes of four watersheds in eastern Puerto Rico: U.S. Geological Survey Professional Paper 1789, viii, 292 p.; Appendices; col. ill.; maps (col.), https://doi.org/10.3133/pp1789.","productDescription":"viii, 292 p.; Appendices; col. ill.; maps (col.)","startPage":"i","endPage":"292","numberOfPages":"304","additionalOnlineFiles":"N","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true}],"links":[{"id":259252,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1789/PP1789.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259265,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1789.gif"},{"id":259251,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1789/","linkFileType":{"id":5,"text":"html"}}],"country":"Puerto Rico","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc87ce4b08c986b32c95f","contributors":{"authors":[{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":465894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":465895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Contributions by Buss, Heather L.","contributorId":21830,"corporation":false,"usgs":true,"family":"Contributions by Buss","given":"Heather","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":465898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gould, William A.","contributorId":103535,"corporation":false,"usgs":true,"family":"Gould","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":465902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larsen, Matthew C. mclarsen@usgs.gov","contributorId":1568,"corporation":false,"usgs":true,"family":"Larsen","given":"Matthew","email":"mclarsen@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":465893,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Zhigang","contributorId":89015,"corporation":false,"usgs":true,"family":"Liu","given":"Zhigang","affiliations":[],"preferred":false,"id":465900,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Martinuzzi, Sebastian","contributorId":17491,"corporation":false,"usgs":true,"family":"Martinuzzi","given":"Sebastian","affiliations":[],"preferred":false,"id":465897,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pares-Ramos, Isabel K.","contributorId":98184,"corporation":false,"usgs":true,"family":"Pares-Ramos","given":"Isabel K.","affiliations":[],"preferred":false,"id":465901,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"White, Arthur F. afwhite@usgs.gov","contributorId":3718,"corporation":false,"usgs":true,"family":"White","given":"Arthur","email":"afwhite@usgs.gov","middleInitial":"F.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":465896,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zou, Xiaoming","contributorId":56521,"corporation":false,"usgs":true,"family":"Zou","given":"Xiaoming","email":"","affiliations":[],"preferred":false,"id":465899,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70007154,"text":"70007154 - 2012 - Monitoring gradual ecosystem change using Landsat time series analyses: case studies in selected forest and rangeland ecosystems","interactions":[],"lastModifiedDate":"2012-08-30T17:16:17","indexId":"70007154","displayToPublicDate":"2012-07-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring gradual ecosystem change using Landsat time series analyses: case studies in selected forest and rangeland ecosystems","docAbstract":"The focus of the study was to assess gradual changes occurring throughout a range of natural ecosystems using decadal Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM +) time series data. Time series data stacks were generated for four study areas: (1) a four scene area dominated by forest and rangeland ecosystems in the southwestern United States, (2) a sagebrush-dominated rangeland in Wyoming, (3) woodland adjacent to prairie in northwestern Nebraska, and (4) a forested area in the White Mountains of New Hampshire. Through analyses of time series data, we found evidence of gradual systematic change in many of the natural vegetation communities in all four areas. Many of the conifer forests in the southwestern US are showing declines related to insects and drought, but very few are showing evidence of improving conditions or increased greenness. Sagebrush communities are showing decreases in greenness related to fire, mining, and probably drought, but very few of these communities are showing evidence of increased greenness or improving conditions. In Nebraska, forest communities are showing local expansion and increased canopy densification in the prairie&ndash;woodland interface, and in the White Mountains high elevation understory conifers are showing range increases towards lower elevations. The trends detected are not obvious through casual inspection of the Landsat images. Analyses of time series data using many scenes and covering multiple years are required in order to develop better impressions and representations of the changing ecosystem patterns and trends that are occurring. The approach described in this paper demonstrates that Landsat time series data can be used operationally for assessing gradual ecosystem change across large areas. Local knowledge and available ancillary data are required in order to fully understand the nature of these trends.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.rse.2011.06.027","usgsCitation":"Vogelmann, J., Xian, G., Homer, C.G., and Tolk, B., 2012, Monitoring gradual ecosystem change using Landsat time series analyses: case studies in selected forest and rangeland ecosystems: Remote Sensing of Environment, v. 122, p. 92-105, https://doi.org/10.1016/j.rse.2011.06.027.","productDescription":"14 p.","startPage":"92","endPage":"105","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":259239,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257288,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.rse.2011.06.027","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"122","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5dafe4b0c8380cd70523","contributors":{"authors":[{"text":"Vogelmann, James E. 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":649,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James E.","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":355952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":76589,"corporation":false,"usgs":true,"family":"Xian","given":"George","affiliations":[],"preferred":false,"id":355955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":355953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tolk, Brian 0000-0002-9060-0266","orcid":"https://orcid.org/0000-0002-9060-0266","contributorId":62426,"corporation":false,"usgs":true,"family":"Tolk","given":"Brian","affiliations":[],"preferred":false,"id":355954,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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