The in-reservoir movements and dam passage of individual juvenile Chinook salmon (Oncorhynchus tshawytscha) and juvenile steelhead (Oncorhynchus mykiss) were studied at Detroit Reservoir and Dam, near Detroit, Oregon, during 2012 and 2013. The goal of the study was to provide data to inform decisions about future downstream passage alternatives and factors affecting downstream passage rates with the existing dam configuration. In 2012, 468 juvenile Chinook salmon and 200 juvenile steelhead were tagged and released during a 3-month period in the spring, and another 514 juvenile Chinook salmon were tagged and released during a 3-month period in the fall. The fish were surgically implanted with a small acoustic transmitter with an expected life of about 3 months and a passive integrated transponder tag with an indefinite life, and were released into the two main tributaries several kilometers upstream of the reservoir. Juvenile Chinook salmon migrated from the release sites to the reservoir in a greater proportion than juvenile steelhead, but once in the reservoir, juvenile steelhead migrated to the forebay faster and had a higher dam passage rate than juvenile Chinook salmon. The routes available for passing water and fish varied throughout the year, with low reservoir elevations in winter and high reservoir elevations in summer in accordance with the flood-control purpose of the dam. Most dam passage was through the spillway during the spring and summer, when the reservoir elevation was high and the spillway and powerhouse were the most common routes in operation, and via the powerhouse during the fall and winter period, when the reservoir elevation was low and the regulating outlet and powerhouse were the most common routes in operation. Few tagged fish passed when the powerhouse was the only route in operation. Dam passage rates during the spring and summer were greatest at night, increased with dam discharge, and were greater when water was passed freely over the spillway compared to when it was controlled by the spillway Tainter gates. Dam passage rates during the fall and winter, when the reservoir elevation usually was too low for spillway operation, were lower than during the spring and summer, negatively related to reservoir elevation, and positively related to dam discharge, though the latter relation diminished as reservoir elevation decreased. Fish locations near the dam from estimates of three-dimensional positions often were near the locations of dam discharge and fish depths were surface oriented relative to the depth of the forebay. Fish passage rates with the existing dam configuration were greatest when the spillway was in operation and were lowest when the powerhouse was the only route in operation; the latter result may be related to the relatively low magnitude or variability in discharge during that condition. The available data suggest that a properly designed surface outlet could be a viable passage route for juvenile Chinook salmon and juvenile steelhead at Detroit Dam. A second year of data collection based on a similar study design was complete at the time of this report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141144","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Beeman, J.W., Hansel, H.C., Hansen, A.C., Evans, S.D., Haner, P.V., Hatton, T., Kofoot, E.E., Sprando, J.M., and Smith, C., 2014, Behavior and dam passage of juvenile Chinook salmon and juvenile steelhead at Detroit Reservoir and Dam, Oregon, March 2012-February 2013: U.S. Geological Survey Open-File Report 2014-1144, vi, 62 p., https://doi.org/10.3133/ofr20141144.","productDescription":"vi, 62 p.","numberOfPages":"72","onlineOnly":"Y","temporalStart":"2012-03-01","temporalEnd":"2013-02-28","ipdsId":"IP-049970","costCenters":[{"id":654,"text":"Western Fisheries Research 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perfluorinated compounds in bald eagle nestlings in the Upper Midwestern United States","interactions":[],"lastModifiedDate":"2018-01-04T15:28:00","indexId":"70116231","displayToPublicDate":"2014-07-09T14:07:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal patterns in concentrations of perfluorinated compounds in bald eagle nestlings in the Upper Midwestern United States","docAbstract":"Perfluorinated chemicals (PFCs) are of concern due to their widespread use, persistence in the environment, tendency to accumulate in animal tissues, and growing evidence of toxicity. Between 2006 and 2011 we collected blood plasma from 261 bald eagle nestlings in six study areas from the upper Midwestern United States. Samples were assessed for levels of 16 different PFCs. We used regression analysis in a Bayesian framework to evaluate spatial and temporal trends for these analytes. We found levels as high as 7370 ng/mL for the sum of all 16 PFCs (∑PFCs). Perfluorooctanesulfonate (PFOS) and perfluorodecanesulfonate (PFDS) were the most abundant analytes, making up 67% and 23% of the PFC burden, respectively. Levels of ∑PFC, PFOS, and PFDS were highest in more urban and industrial areas, moderate on Lake Superior, and low on the remote upper St. Croix River watershed. We found evidence of declines in ∑PFCs and seven analytes, including PFOS, PFDS, and perfluorooctanoic acid (PFOA); no trend in two analytes; and increases in two analytes. We argue that PFDS, a long-chained PFC with potential for high bioaccumulation and toxicity, should be considered for future animal and human studies.
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environmental pollutants may contribute to green sea turtle fibropapillomatosis (FP), possibly through immunosuppression leading to greater susceptibility to the herpesvirus, the putative causative agent of this tumor-forming disease. To address this question, we measured concentrations of 164 persistent organic pollutants (POPs) and halogenated phenols in 53 Hawaiian green turtle (Chelonia mydas) plasma samples archived by the Biological and Environmental Monitoring and Archival of Sea Turtle Tissues (BEMAST) project at the National Institute of Standards and Technology Marine Environmental Specimen Bank. Four groups of turtles were examined: free-ranging turtles from Kiholo Bay (0% FP, Hawaii), Kailua Bay (low FP, 8%, Oahu), and Kapoho Bay (moderate FP, 38%, Hawaii) and severely tumored stranded turtles that required euthanasia (high FP, 100%, Main Hawaiian Islands). Four classes of POPs and seven halogenated phenols were detected in at least one of the turtles, and concentrations were low (often <200 pg/g wet mass). The presence of halogenated phenols in sea turtles is a novel discovery; their concentrations were higher than most man-made POPs, suggesting that the source of most of these compounds was likely natural (produced by the algal turtle diet) rather than metabolites of man-made POPs. None of the compounds measured increased in concentration with increasing prevalence of FP across the four groups of turtles, suggesting that these 164 compounds are not likely primary triggers for the onset of FP. However, the stranded, severely tumored, emaciated turtle group (n = 14) had the highest concentrations of POPs, which might suggest that mobilization of contaminants with lipids into the blood during late-stage weight loss could contribute to the progression of the disease. Taken together, these data suggest that POPs are not a major cofactor in causing the onset of FP.
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\"}}]}","volume":"48","issue":"14","noUsgsAuthors":false,"publicationDate":"2014-07-03","publicationStatus":"PW","scienceBaseUri":"53be5652e4b0527d5d409794","contributors":{"authors":[{"text":"Keller, Jennifer M.","contributorId":25080,"corporation":false,"usgs":true,"family":"Keller","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balazs, George H.","contributorId":88195,"corporation":false,"usgs":true,"family":"Balazs","given":"George","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":495738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nilsen, Frances","contributorId":71099,"corporation":false,"usgs":true,"family":"Nilsen","given":"Frances","email":"","affiliations":[],"preferred":false,"id":495737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rice, Marc","contributorId":32827,"corporation":false,"usgs":true,"family":"Rice","given":"Marc","affiliations":[],"preferred":false,"id":495735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":495733,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jensen, Brenda A.","contributorId":40130,"corporation":false,"usgs":true,"family":"Jensen","given":"Brenda","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":495736,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70136311,"text":"70136311 - 2014 - Polar bears from space: Assessing satellite imagery as a tool to track Arctic wildlife","interactions":[],"lastModifiedDate":"2018-04-04T11:39:26","indexId":"70136311","displayToPublicDate":"2014-07-09T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Polar bears from space: Assessing satellite imagery as a tool to track Arctic wildlife","docAbstract":"Development of efficient techniques for monitoring wildlife is a priority in the Arctic, where the impacts of climate change are acute and remoteness and logistical constraints hinder access. We evaluated high resolution satellite imagery as a tool to track the distribution and abundance of polar bears. We examined satellite images of a small island in Foxe Basin, Canada, occupied by a high density of bears during the summer ice-free season. Bears were distinguished from other light-colored spots by comparing images collected on different dates. A sample of ground-truthed points demonstrated that we accurately classified bears. Independent observers reviewed images and a population estimate was obtained using mark- recapture models. This estimate (N: 94; 95% Confidence Interval: 92-105) was remarkably similar to an abundance estimate derived from a line transect aerial survey conducted a few days earlier (N: 102; 95% CI: 69-152). Our findings suggest that satellite imagery is a promising tool for monitoring polar bears on land, with implications for use with other Arctic wildlife. Large scale applications may require development of automated detection processes to expedite review and analysis. Future research should assess the utility of multi-spectral imagery and examine sites with different environmental characteristics.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0101513","usgsCitation":"Stapleton, S.P., LaRue, M.A., Lecomte, N., Atkinson, S.N., Garshelis, D., Porter, C., and Atwood, T.C., 2014, Polar bears from space: Assessing satellite imagery as a tool to track Arctic wildlife: PLoS ONE, v. 9, p. 1-7, https://doi.org/10.1371/journal.pone.0101513.","productDescription":"7 p.","startPage":"1","endPage":"7","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051002","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":472882,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0101513","text":"Publisher Index Page"},{"id":296917,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1371/journal.pone.0101513"},{"id":296919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2014-07-09","publicationStatus":"PW","scienceBaseUri":"54dd2c27e4b08de9379b366a","contributors":{"authors":[{"text":"Stapleton, Seth P. sstapleton@usgs.gov","contributorId":3979,"corporation":false,"usgs":true,"family":"Stapleton","given":"Seth","email":"sstapleton@usgs.gov","middleInitial":"P.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":537334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaRue, Michelle A.","contributorId":20634,"corporation":false,"usgs":true,"family":"LaRue","given":"Michelle","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":537348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lecomte, Nicolas","contributorId":131119,"corporation":false,"usgs":false,"family":"Lecomte","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":537349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atkinson, Stephen N.","contributorId":12365,"corporation":false,"usgs":false,"family":"Atkinson","given":"Stephen","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":537350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garshelis, David L.","contributorId":89457,"corporation":false,"usgs":true,"family":"Garshelis","given":"David L.","affiliations":[],"preferred":false,"id":537351,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Porter, Claire","contributorId":131120,"corporation":false,"usgs":false,"family":"Porter","given":"Claire","email":"","affiliations":[],"preferred":false,"id":537352,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":537335,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70116027,"text":"70116027 - 2014 - Mercury elimination rates for adult northern pike Esox lucius: evidence for a sex effect","interactions":[],"lastModifiedDate":"2014-07-09T09:22:37","indexId":"70116027","displayToPublicDate":"2014-07-09T09:20:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1103,"text":"Bulletin of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Mercury elimination rates for adult northern pike Esox lucius: evidence for a sex effect","docAbstract":"We examined the effect of sex on mercury elimination in fish by monitoring isotope-enriched mercury concentrations in the muscle tissue of three adult female and three adult male northern pike Esox lucius, which had accumulated the isotope-enriched mercury via a whole-lake manipulation and were subsequently moved to a clean lake. Mercury elimination rates for female and male northern pike were estimated to be 0.00034 and 0.00073 day−1, respectively. Thus, males were capable of eliminating mercury at more than double the rate than that of females. To the best of our knowledge, our study represents the first documentation of mercury elimination rates varying between the sexes of fish. This sex difference in elimination rates should be taken into account when comparing mercury accumulation between the sexes of fish from the same population. Further, our findings should eventually lead to an improved understanding of mechanisms responsible for mercury elimination in vertebrates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Environmental Contamination and Toxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00128-014-1256-z","usgsCitation":"Madenjian, C.P., Blanchfield, P.J., Hrenchuk, L.E., and Van Walleghem, J.L., 2014, Mercury elimination rates for adult northern pike Esox lucius: evidence for a sex effect: Bulletin of Environmental Contamination and Toxicology, v. 93, no. 2, p. 144-148, https://doi.org/10.1007/s00128-014-1256-z.","productDescription":"5 p.","startPage":"144","endPage":"148","numberOfPages":"5","ipdsId":"IP-053162","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":289584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289583,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00128-014-1256-z"}],"volume":"93","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-03-26","publicationStatus":"PW","scienceBaseUri":"53be5653e4b0527d5d409798","contributors":{"authors":[{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":495720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blanchfield, Paul J.","contributorId":22248,"corporation":false,"usgs":true,"family":"Blanchfield","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":495722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hrenchuk, Lee E.","contributorId":75066,"corporation":false,"usgs":true,"family":"Hrenchuk","given":"Lee","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":495723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Walleghem, Jillian L. A.","contributorId":15525,"corporation":false,"usgs":true,"family":"Van Walleghem","given":"Jillian","email":"","middleInitial":"L. A.","affiliations":[],"preferred":false,"id":495721,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70115910,"text":"70115910 - 2014 - Indigenous community health and climate change: integrating biophysical and social science indicators","interactions":[],"lastModifiedDate":"2014-07-08T15:20:36","indexId":"70115910","displayToPublicDate":"2014-07-08T15:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1263,"text":"Coastal Management","active":true,"publicationSubtype":{"id":10}},"title":"Indigenous community health and climate change: integrating biophysical and social science indicators","docAbstract":"This article describes a pilot study evaluating the sensitivity of Indigenous community health to climate change impacts on Salish Sea shorelines (Washington State, United States and British Columbia, Canada). Current climate change assessments omit key community health concerns, which are vital to successful adaptation plans, particularly for Indigenous communities. Descriptive scaling techniques, employed in facilitated workshops with two Indigenous communities, tested the efficacy of ranking six key indicators of community health in relation to projected impacts to shellfish habitat and shoreline archaeological sites stemming from changes in the biophysical environment. Findings demonstrate that: when shellfish habitat and archaeological resources are impacted, so is Indigenous community health; not all community health indicators are equally impacted; and, the community health indicators of highest concern are not necessarily the same indicators most likely to be impacted. Based on the findings and feedback from community participants, exploratory trials were successful; Indigenous-specific health indicators may be useful to Indigenous communities who are assessing climate change sensitivities and creating adaptation plans.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Coastal Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/08920753.2014.923140","usgsCitation":"Donatuto, J., Grossman, E., Konovsky, J., Grossman, S., and Campbell, L.W., 2014, Indigenous community health and climate change: integrating biophysical and social science indicators: Coastal Management, v. 42, no. 4, p. 355-373, https://doi.org/10.1080/08920753.2014.923140.","productDescription":"19 p.","startPage":"355","endPage":"373","numberOfPages":"19","ipdsId":"IP-053814","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":472884,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/08920753.2014.923140","text":"Publisher Index Page"},{"id":289560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289530,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/08920753.2014.923140"}],"country":"Canada;United States","state":"British Columbia;Washington","otherGeospatial":"Salish Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.4251,47.0346 ], [ -125.4251,50.2501 ], [ -122.2023,50.2501 ], [ -122.2023,47.0346 ], [ -125.4251,47.0346 ] ] ] } } ] }","volume":"42","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-06-27","publicationStatus":"PW","scienceBaseUri":"53bd04d9e4b00cbf31f7232d","contributors":{"authors":[{"text":"Donatuto, Jamie","contributorId":38474,"corporation":false,"usgs":true,"family":"Donatuto","given":"Jamie","affiliations":[],"preferred":false,"id":495678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grossman, Eric E.","contributorId":40677,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","affiliations":[],"preferred":false,"id":495680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Konovsky, John","contributorId":7622,"corporation":false,"usgs":true,"family":"Konovsky","given":"John","email":"","affiliations":[],"preferred":false,"id":495676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grossman, Sarah","contributorId":22688,"corporation":false,"usgs":true,"family":"Grossman","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":495677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell, Larry W.","contributorId":38475,"corporation":false,"usgs":true,"family":"Campbell","given":"Larry","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":495679,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70115942,"text":"70115942 - 2014 - High spatial resolution WorldView-2 imagery for mapping NDVI and its relationship to temporal urban landscape evapotranspiration factors","interactions":[],"lastModifiedDate":"2014-07-08T15:12:01","indexId":"70115942","displayToPublicDate":"2014-07-08T15:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"High spatial resolution WorldView-2 imagery for mapping NDVI and its relationship to temporal urban landscape evapotranspiration factors","docAbstract":"Evapotranspiration estimation has benefitted from recent advances in remote sensing and GIS techniques particularly in agricultural applications rather than urban environments. This paper explores the relationship between urban vegetation evapotranspiration (ET) and vegetation indices derived from newly-developed high spatial resolution WorldView-2 imagery. The study site was Veale Gardens in Adelaide, Australia. Image processing was applied on five images captured from February 2012 to February 2013 using ERDAS Imagine. From 64 possible two band combinations of WorldView-2, the most reliable one (with the maximum median differences) was selected. Normalized Difference Vegetation Index (NDVI) values were derived for each category of landscape cover, namely trees, shrubs, turf grasses, impervious pavements, and water bodies. Urban landscape evapotranspiration rates for Veale Gardens were estimated through field monitoring using observational-based landscape coefficients. The relationships between remotely sensed NDVIs for the entire Veale Gardens and for individual NDVIs of different vegetation covers were compared with field measured urban landscape evapotranspiration rates. The water stress conditions experienced in January 2013 decreased the correlation between ET and NDVI with the highest relationship of ET-Landscape NDVI (Landscape Normalized Difference Vegetation Index) for shrubs (r2 = 0.66) and trees (r2 = 0.63). However, when the January data was excluded, there was a significant correlation between ET and NDVI. The highest correlation for ET-Landscape NDVI was found for the entire Veale Gardens regardless of vegetation type (r2 = 0.95, p > 0.05) and the lowest one was for turf (r2 = 0.88, p > 0.05). In support of the feasibility of ET estimation by WV2 over a longer period, an algorithm recently developed that estimates evapotranspiration rates based on the Enhanced Vegetation Index (EVI) from MODIS was employed. The results revealed a significant positive relationship between ETMODIS and ETWV2 (r2 = 0.9857, p > 0.05). This indicates that the relationship between NDVI using high resolution WorldView-2 imagery and ground-based validation approaches could provide an effective predictive tool for determining ET rates from unstressed mixed urban landscape plantings.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI AG","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs6010580","usgsCitation":"Nouri, H., Beecham, S., Anderson, S., and Nagler, P., 2014, High spatial resolution WorldView-2 imagery for mapping NDVI and its relationship to temporal urban landscape evapotranspiration factors: Remote Sensing, v. 6, no. 1, p. 580-602, https://doi.org/10.3390/rs6010580.","productDescription":"23 p.","startPage":"580","endPage":"602","numberOfPages":"23","ipdsId":"IP-049133","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472885,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs6010580","text":"Publisher Index Page"},{"id":289558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289556,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/rs6010580"}],"country":"Australia","city":"Adelaide","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 138.593373,-34.942277 ], [ 138.593373,-34.935021 ], [ 138.602208,-34.935021 ], [ 138.602208,-34.942277 ], [ 138.593373,-34.942277 ] ] ] } } ] }","volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-06","publicationStatus":"PW","scienceBaseUri":"53bd04d9e4b00cbf31f7232b","contributors":{"authors":[{"text":"Nouri, Hamideh 0000-0002-7424-5030","orcid":"https://orcid.org/0000-0002-7424-5030","contributorId":16327,"corporation":false,"usgs":true,"family":"Nouri","given":"Hamideh","email":"","affiliations":[],"preferred":false,"id":495715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beecham, Simon","contributorId":95397,"corporation":false,"usgs":true,"family":"Beecham","given":"Simon","affiliations":[],"preferred":false,"id":495717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Sharolyn","contributorId":22697,"corporation":false,"usgs":true,"family":"Anderson","given":"Sharolyn","affiliations":[],"preferred":false,"id":495716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nagler, Pamela 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":8748,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","affiliations":[],"preferred":false,"id":495714,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70115940,"text":"70115940 - 2014 - Ecological consequences of the expansion of N2-fixing plants in cold biomes","interactions":[],"lastModifiedDate":"2014-08-21T12:44:25","indexId":"70115940","displayToPublicDate":"2014-07-08T14:54:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Ecological consequences of the expansion of N2-fixing plants in cold biomes","docAbstract":"Research in warm-climate biomes has shown that invasion by symbiotic dinitrogen (N2)-fixing plants can transform ecosystems in ways analogous to the transformations observed as a consequence of anthropogenic, atmospheric nitrogen (N) deposition: declines in biodiversity, soil acidification, and alterations to carbon and nutrient cycling, including increased N losses through nitrate leaching and emissions of the powerful greenhouse gas nitrous oxide (N2O). Here, we used literature review and case study approaches to assess the evidence for similar transformations in cold-climate ecosystems of the boreal, subarctic and upper montane-temperate life zones. Our assessment focuses on the plant genera Lupinus and Alnus, which have become invasive largely as a consequence of deliberate introductions and/or reduced land management. These cold biomes are commonly located in remote areas with low anthropogenic N inputs, and the environmental impacts of N2-fixer invasion appear to be as severe as those from anthropogenic N deposition in highly N polluted areas. Hence, inputs of N from N2 fixation can affect ecosystems as dramatically or even more strongly than N inputs from atmospheric deposition, and biomes in cold climates represent no exception with regard to the risk of being invaded by N2-fixing species. In particular, the cold biomes studied here show both a strong potential to be transformed by N2-fixing plants and a rapid subsequent saturation in the ecosystem’s capacity to retain N. Therefore, analogous to increases in N deposition, N2-fixing plant invasions must be deemed significant threats to biodiversity and to environmental quality.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oecologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Berlin, Germany","doi":"10.1007/s00442-014-2991-x","usgsCitation":"Hiltbrunner, E., Aerts, R., Buhlmann, T., Huss-Danell, K., Magnusson, B., Myrold, D.D., Reed, S.C., Sigurdsson, B.D., and Korner, C., 2014, Ecological consequences of the expansion of N2-fixing plants in cold biomes: Oecologia, v. 176, no. 1, p. 11-24, https://doi.org/10.1007/s00442-014-2991-x.","productDescription":"14 p.","startPage":"11","endPage":"24","numberOfPages":"14","ipdsId":"IP-052262","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472886,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doc.rero.ch/record/326434/files/442_2014_Article_2991.pdf","text":"External Repository"},{"id":289555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289546,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00442-014-2991-x"}],"volume":"176","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-06-18","publicationStatus":"PW","scienceBaseUri":"53bd04d8e4b00cbf31f72323","contributors":{"authors":[{"text":"Hiltbrunner, Erika","contributorId":17146,"corporation":false,"usgs":true,"family":"Hiltbrunner","given":"Erika","email":"","affiliations":[],"preferred":false,"id":495702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aerts, Rien","contributorId":60547,"corporation":false,"usgs":true,"family":"Aerts","given":"Rien","email":"","affiliations":[],"preferred":false,"id":495706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buhlmann, Tobias","contributorId":97432,"corporation":false,"usgs":true,"family":"Buhlmann","given":"Tobias","email":"","affiliations":[],"preferred":false,"id":495709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huss-Danell, Kerstin","contributorId":56159,"corporation":false,"usgs":true,"family":"Huss-Danell","given":"Kerstin","email":"","affiliations":[],"preferred":false,"id":495705,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magnusson, Borgthor","contributorId":34439,"corporation":false,"usgs":true,"family":"Magnusson","given":"Borgthor","email":"","affiliations":[],"preferred":false,"id":495703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Myrold, David D.","contributorId":73114,"corporation":false,"usgs":true,"family":"Myrold","given":"David","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":495707,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":495701,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sigurdsson, Bjarni D.","contributorId":75857,"corporation":false,"usgs":true,"family":"Sigurdsson","given":"Bjarni","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":495708,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Korner, Christian","contributorId":55348,"corporation":false,"usgs":true,"family":"Korner","given":"Christian","email":"","affiliations":[],"preferred":false,"id":495704,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70093761,"text":"ds827 - 2014 - Vegetation database for land-cover mapping, Clark and Lincoln Counties, Nevada","interactions":[],"lastModifiedDate":"2014-07-08T14:57:53","indexId":"ds827","displayToPublicDate":"2014-07-08T14:52:00","publicationYear":"2014","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":"827","title":"Vegetation database for land-cover mapping, Clark and Lincoln Counties, Nevada","docAbstract":"Floristic and other vegetation data were collected at 3,175 sample sites to support land-cover mapping projects in Clark and Lincoln Counties, Nevada, from 2007 to 2013. Data were collected at sample sites that were selected to fulfill mapping priorities by one of two different plot sampling approaches. Samples were described at the stand level and classified into the National Vegetation Classification hierarchy at the alliance level and above. The vegetation database is presented in geospatial and tabular formats.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds827","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Charlet, D.A., Damar, N.A., and Leary, P.J., 2014, Vegetation database for land-cover mapping, Clark and Lincoln Counties, Nevada: U.S. Geological Survey Data Series 827, vi, 18 p., https://doi.org/10.3133/ds827.","productDescription":"vi, 18 p.","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-045394","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":289554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds827.jpg"},{"id":289553,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/827/pdf/ds827.pdf"},{"id":289550,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/827/"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Nevada","county":"Clark County;Lincoln County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.0,35.0 ], [ -116.0,37.25 ], [ -114.0,37.25 ], [ -114.0,35.0 ], [ -116.0,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04dbe4b00cbf31f72337","contributors":{"authors":[{"text":"Charlet, David A.","contributorId":14732,"corporation":false,"usgs":true,"family":"Charlet","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":490198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Damar, Nancy A. 0000-0002-7520-7386 nadamar@usgs.gov","orcid":"https://orcid.org/0000-0002-7520-7386","contributorId":4154,"corporation":false,"usgs":true,"family":"Damar","given":"Nancy","email":"nadamar@usgs.gov","middleInitial":"A.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leary, Patrick J.","contributorId":9575,"corporation":false,"usgs":true,"family":"Leary","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490197,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70110903,"text":"sir20145076 - 2014 - Land-cover mapping of Red Rock Canyon National Conservation Area and Coyote Springs, Piute-Eldorado Valley, and Mormon Mesa Areas of Critical Environmental Concern, Clark County, Nevada","interactions":[],"lastModifiedDate":"2014-07-08T14:47:11","indexId":"sir20145076","displayToPublicDate":"2014-07-08T14:36:00","publicationYear":"2014","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":"2014-5076","title":"Land-cover mapping of Red Rock Canyon National Conservation Area and Coyote Springs, Piute-Eldorado Valley, and Mormon Mesa Areas of Critical Environmental Concern, Clark County, Nevada","docAbstract":"DigitalGlobe’s QuickBird satellite high-resolution multispectral imagery was classified by using Visual Learning Systems’ Feature Analyst feature extraction software to produce land-cover data sets for the Red Rock Canyon National Conservation Area and the Coyote Springs, Piute-Eldorado Valley, and Mormon Mesa Areas of Critical Environmental Concern in Clark County, Nevada. Over 1,000 vegetation field samples were collected at the stand level. The field samples were classified to the National Vegetation Classification Standard, Version 2 hierarchy at the alliance level and above. Feature extraction models were developed for vegetation on the basis of the spectral and spatial characteristics of selected field samples by using the Feature Analyst hierarchical learning process. Individual model results were merged to create one data set for the Red Rock Canyon National Conservation Area and one for each of the Areas of Critical Environmental Concern. Field sample points and photographs were used to validate and update the data set after model results were merged. Non-vegetation data layers, such as roads and disturbed areas, were delineated from the imagery and added to the final data sets. The resulting land-cover data sets are significantly more detailed than previously were available, both in resolution and in vegetation classes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145076","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Smith, J.L., Damar, N.A., Charlet, D.A., and Westenburg, C.L., 2014, Land-cover mapping of Red Rock Canyon National Conservation Area and Coyote Springs, Piute-Eldorado Valley, and Mormon Mesa Areas of Critical Environmental Concern, Clark County, Nevada: U.S. Geological Survey Scientific Investigations Report 2014-5076, viii, 42 p., https://doi.org/10.3133/sir20145076.","productDescription":"viii, 42 p.","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-045395","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":289552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145076.jpg"},{"id":289551,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5076/pdf/sir2014-5076.pdf"},{"id":289549,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5076/"}],"projection":"Universal Transverse Mercator Projection, Zone 11","datum":"North American Datum of 1983","country":"United States","state":"Nevada","county":"Clark County","otherGeospatial":"Coyote Springs Area Of Critical Environmental Concern;Mormon Mesa Area Of Critical Environmental Concern;Piute-eldorado Valley Area Of Critical Environmental Concern;Red Rock Canyon National Conservation Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.8969,35.0019 ], [ -115.8969,36.8537 ], [ -114.0428,36.8537 ], [ -114.0428,35.0019 ], [ -115.8969,35.0019 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04dae4b00cbf31f72331","contributors":{"authors":[{"text":"Smith, J. LaRue jlsmith@usgs.gov","contributorId":1863,"corporation":false,"usgs":true,"family":"Smith","given":"J.","email":"jlsmith@usgs.gov","middleInitial":"LaRue","affiliations":[],"preferred":true,"id":494191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Damar, Nancy A. 0000-0002-7520-7386 nadamar@usgs.gov","orcid":"https://orcid.org/0000-0002-7520-7386","contributorId":4154,"corporation":false,"usgs":true,"family":"Damar","given":"Nancy","email":"nadamar@usgs.gov","middleInitial":"A.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charlet, David A.","contributorId":14732,"corporation":false,"usgs":true,"family":"Charlet","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":494193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Westenburg, Craig L.","contributorId":63831,"corporation":false,"usgs":true,"family":"Westenburg","given":"Craig","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":494194,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70115923,"text":"70115923 - 2014 - Gross and microscopic pathology of hard and soft corals in New Caledonia","interactions":[],"lastModifiedDate":"2018-02-20T15:16:20","indexId":"70115923","displayToPublicDate":"2014-07-08T14:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2361,"text":"Journal of Invertebrate Pathology","active":true,"publicationSubtype":{"id":10}},"title":"Gross and microscopic pathology of hard and soft corals in New Caledonia","docAbstract":"We surveyed the reefs of Grande Terre, New Caledonia, for coral diseases in 2010 and 2013. Lesions encountered in hard and soft corals were systematically described at the gross and microscopic level. We sampled paired and normal tissues from 101 and 65 colonies in 2010 and 2013, respectively, comprising 51 species of corals from 27 genera. Tissue loss was the most common gross lesion sampled (40%) followed by discoloration (28%), growth anomalies (13%), bleaching (10%), and flatworm infestation (1%). When grouped by gross lesions, the diversity of microscopic lesions as measured by Shannon–Wiener index was highest for tissue loss, followed by discoloration, bleaching, and growth anomaly. Our findings document an extension of the range of certain diseases such as Porites trematodiasis and endolithic hypermycosis (dark spots) to the Western Pacific as well as the presence of a putative cnidarian endosymbiont. We also expand the range of species infected by cell-associated microbial aggregates, and confirm the trend that these aggregates predominate in dominant genera of corals in the Indo-Pacific. This study highlights the importance of including histopathology as an integral component of baseline coral disease surveys, because a given gross lesion might be associated with multiple potential causative agents.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jip.2014.05.007","usgsCitation":"Work, T.M., Aeby, G.S., Lasne, G., and Tribollet, A., 2014, Gross and microscopic pathology of hard and soft corals in New Caledonia: Journal of Invertebrate Pathology, v. 120, p. 50-58, https://doi.org/10.1016/j.jip.2014.05.007.","productDescription":"9 p.","startPage":"50","endPage":"58","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053084","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":289548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289547,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jip.2014.05.007"}],"country":"France","otherGeospatial":"Grande Terre, New Caledonia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 164.3170166015625,\n -19.73051299702225\n ],\n [\n 164.6685791015625,\n -20.030128899024707\n ],\n [\n 164.89929199218747,\n -20.2725032501349\n ],\n [\n 165.11901855468747,\n -20.390974413170603\n ],\n [\n 165.41015625,\n -20.46818922264095\n ],\n [\n 165.552978515625,\n -20.643065546726454\n ],\n [\n 165.7012939453125,\n -20.812606385754087\n ],\n [\n 165.9979248046875,\n -21.053744493156334\n ],\n [\n 166.3714599609375,\n -21.345664899154094\n ],\n [\n 166.6845703125,\n -21.53484700204879\n ],\n [\n 167.05261230468747,\n -21.861498734372553\n ],\n [\n 167.23388671875,\n -22.11617714721062\n ],\n [\n 167.3822021484375,\n -22.268764039073968\n ],\n [\n 167.288818359375,\n -22.471954507739227\n ],\n [\n 167.1624755859375,\n -22.512556954051437\n ],\n [\n 166.9866943359375,\n -22.578510494507483\n ],\n [\n 166.651611328125,\n -22.61908160971607\n ],\n [\n 166.3824462890625,\n -22.649502094242195\n ],\n [\n 166.2396240234375,\n -22.644432481217155\n ],\n [\n 166.025390625,\n -22.487181821139284\n ],\n [\n 165.95947265624997,\n -22.35515621858974\n ],\n [\n 165.8221435546875,\n -22.19757745335104\n ],\n [\n 165.662841796875,\n -22.09581971780769\n ],\n [\n 165.4541015625,\n -22.019453218696597\n ],\n [\n 165.311279296875,\n -21.861498734372553\n ],\n [\n 165.146484375,\n -21.80030805097259\n ],\n [\n 164.50927734375,\n -21.309846141087192\n ],\n [\n 164.28955078125,\n -21.125497636606266\n ],\n [\n 164.0203857421875,\n -20.90500300215911\n ],\n [\n 163.7567138671875,\n -20.622502259344817\n ],\n [\n 163.6358642578125,\n -20.33432561683554\n ],\n [\n 163.4710693359375,\n -20.107523268824004\n ],\n [\n 163.487548828125,\n -19.963022929830792\n ],\n [\n 163.6358642578125,\n -19.932041306115526\n ],\n [\n 163.9764404296875,\n -19.813222194938493\n ],\n [\n 164.3170166015625,\n -19.73051299702225\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04d9e4b00cbf31f72329","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":495694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aeby, Greta S.","contributorId":64783,"corporation":false,"usgs":false,"family":"Aeby","given":"Greta","email":"","middleInitial":"S.","affiliations":[{"id":13394,"text":"Hawai‘i Institute of Marine Biology","active":true,"usgs":false}],"preferred":false,"id":495696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lasne, Gregory","contributorId":41339,"corporation":false,"usgs":true,"family":"Lasne","given":"Gregory","email":"","affiliations":[],"preferred":false,"id":495695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tribollet, Aline","contributorId":71886,"corporation":false,"usgs":true,"family":"Tribollet","given":"Aline","email":"","affiliations":[],"preferred":false,"id":495697,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70103557,"text":"sir20145084 - 2014 - Maximum known stages and discharges of New York streams and their annual exceedance probabilities through September 2011","interactions":[],"lastModifiedDate":"2018-04-11T10:57:02","indexId":"sir20145084","displayToPublicDate":"2014-07-08T13:40:00","publicationYear":"2014","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":"2014-5084","title":"Maximum known stages and discharges of New York streams and their annual exceedance probabilities through September 2011","docAbstract":"Maximum known stages and discharges at 1,400 sites on 796 streams within New York are tabulated. Stage data are reported in feet. Discharges are reported as cubic feet per second and in cubic feet per second per square mile. Drainage areas range from 0.03 to 298,800 square miles; excluding the three sites with larger drainage areas on the St. Lawrence and Niagara Rivers, which drain the Great Lakes, the maximum drainage area is 8,288 square miles (Hudson River at Albany). Most data were obtained from U.S. Geological Survey (USGS) compilations and records, but some were provided by State, local, and other Federal agencies and by private organizations.
\nThe stage and discharge information is grouped by major drainage basins and U.S. Geological Survey site number, in downstream order. Site locations and their associated drainage area, period(s) of record, stage and discharge data, and flood-frequency statistics are compiled in a Microsoft Excel spreadsheet. Flood frequencies were derived for 1,238 sites by using methods described in Bulletin 17B (Interagency Advisory Committee on Water Data, 1982), Ries and Crouse (2002), and Lumia and others (2006).
\nCurves that “envelope” maximum discharges within their range of drainage areas were developed for each of six flood-frequency hydrologic regions and for sites on Long Island, as well as for the State of New York; the New York curve was compared with a curve derived from a plot of maximum known discharges throughout the United States. Discharges represented by the national curve range from at least 2.7 to 4.9 times greater than those represented by the New York curve for drainage areas of 1.0 and 1,000 square miles. The relative magnitudes of discharge and runoff in the six hydrologic regions of New York and Long Island suggest the largest known discharges per square mile are in the southern part of western New York and the Catskill Mountain area, and the smallest are on Long Island.
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York\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04dae4b00cbf31f72333","contributors":{"authors":[{"text":"Wall, Gary R. grwall@usgs.gov","contributorId":915,"corporation":false,"usgs":true,"family":"Wall","given":"Gary","email":"grwall@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Patricia M. pmurray@usgs.gov","contributorId":4863,"corporation":false,"usgs":true,"family":"Murray","given":"Patricia","email":"pmurray@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":493384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lumia, Richard rlumia@usgs.gov","contributorId":4579,"corporation":false,"usgs":true,"family":"Lumia","given":"Richard","email":"rlumia@usgs.gov","affiliations":[],"preferred":true,"id":493383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suro, Thomas P. 0000-0002-9476-6829 tsuro@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6829","contributorId":2841,"corporation":false,"usgs":true,"family":"Suro","given":"Thomas","email":"tsuro@usgs.gov","middleInitial":"P.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":493382,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70111075,"text":"pp1798I - 2014 - Geomorphic change on the Missouri River during the flood of 2011","interactions":[{"subject":{"id":70111075,"text":"pp1798I - 2014 - Geomorphic change on the Missouri River during the flood of 2011","indexId":"pp1798I","publicationYear":"2014","noYear":false,"chapter":"I","title":"Geomorphic change on the Missouri River during the flood of 2011"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1}],"isPartOf":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"lastModifiedDate":"2024-10-18T13:26:27.451742","indexId":"pp1798I","displayToPublicDate":"2014-07-08T13:07:00","publicationYear":"2014","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":"1798","chapter":"I","title":"Geomorphic change on the Missouri River during the flood of 2011","docAbstract":"The 2011 flood on the Missouri River was one of the largest floods since the river became regulated by a series of high dams in the mid-20th century (greater than 150,000 cubic feet per second during the peak). The flood persisted through most of the summer, eroding river banks, adding sand to sandbars, and moving the thalweg of the channel in many places. The U.S. Geological Survey monitored and assessed the changes in two reaches of the Missouri River: the Garrison Reach in North Dakota, bounded by the Garrison Dam and the Lake Oahe Reservoir, and the Recreational Reach along the boundary of South Dakota and Nebraska bounded upstream by the Gavins Point Dam and extending downstream from Ponca, Nebraska. Historical cross-section data from the Garrison Dam closure until immediately before the flood indicate that the upper reaches of the river near the dam experienced rapid erosion, channel incision, and island/sandbar loss following the dam closure. The erosion, incision, and land loss lessened with time. Conversely, the lower reach near the Lake Oahe Reservoir slackwaters became depositional with channel in-filling and sandbar growth through time as the flow slowed upon reaching the reservoir. Preliminary post-flood results in the Garrison Reach indicate that the main channel has deepened at most cross-sections whereas sandbars and islands have grown vertically. Sandbars and the thalweg migrated within the Recreational Reach, however net scouring and aggradation was minimal. Changes in the two-dimensional area of sandbars and islands are still being assessed using high-resolution satellite imagery. A sediment balance can be constructed for the Garrison Reach using cross-sections, bathymetric data, sand traps for wind-blown material, a quasi-three-dimensional numerical model, and dating of sediment cores. Data collection and analysis for a reach-scale sediment balance and a concurrent analysis of the effects of riparian and island vegetation on sediment deposition currently (2014) is ongoing.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2011 Floods of the Central United States (Professional Paper 1798)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798I","usgsCitation":"Schenk, E.R., Skalak, K.J., Benthem, A.J., Dietsch, B.J., Woodward, B.K., Wiche, G.J., Galloway, J.M., Nustad, R.A., and Hupp, C.R., 2014, Geomorphic change on the Missouri River during the flood of 2011: U.S. Geological Survey Professional Paper 1798, vi, 25 p., https://doi.org/10.3133/pp1798I.","productDescription":"vi, 25 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-050746","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":289541,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798I.jpg"},{"id":289537,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798i/"},{"id":289540,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798i/pdf/pp1798i.pdf"}],"country":"United States","state":"Nebraska, North Dakota, South Dakota","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.36,42.4 ], [ -104.36,48.0 ], [ -96.0,48.0 ], [ -96.0,42.4 ], [ -104.36,42.4 ] ] ] } } ] }","contact":"","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04d9e4b00cbf31f72327","contributors":{"authors":[{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":494236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skalak, Katherine J.","contributorId":92174,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":494239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benthem, Adam J. 0000-0003-2372-0281 abenthem@usgs.gov","orcid":"https://orcid.org/0000-0003-2372-0281","contributorId":2740,"corporation":false,"usgs":true,"family":"Benthem","given":"Adam","email":"abenthem@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":494238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woodward, Brenda K.","contributorId":106985,"corporation":false,"usgs":true,"family":"Woodward","given":"Brenda","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":494240,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiche, Gregg J. gjwiche@usgs.gov","contributorId":1675,"corporation":false,"usgs":true,"family":"Wiche","given":"Gregg","email":"gjwiche@usgs.gov","middleInitial":"J.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494234,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494233,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nustad, Rochelle A. 0000-0002-4713-5944 ranustad@usgs.gov","orcid":"https://orcid.org/0000-0002-4713-5944","contributorId":1811,"corporation":false,"usgs":true,"family":"Nustad","given":"Rochelle","email":"ranustad@usgs.gov","middleInitial":"A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494235,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":494237,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70111839,"text":"sim3303 - 2014 - Geology and hydrostratigraphy of Guadalupe River State Park and Honey Creek State Natural Area, Kendall and Comal Counties, Texas","interactions":[],"lastModifiedDate":"2016-08-05T12:28:52","indexId":"sim3303","displayToPublicDate":"2014-07-08T11:40:00","publicationYear":"2014","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":"3303","title":"Geology and hydrostratigraphy of Guadalupe River State Park and Honey Creek State Natural Area, Kendall and Comal Counties, Texas","docAbstract":"Hydrogeologic mapping and descriptions of the lithostratigraphy and hydrostratigraphy of Guadalupe River State Park and Honey Creek State Natural Area, Kendall and Comal Counties, Texas, are presented in this first detailed 1:24,000 geologic map, along with proposed names and descriptions of the hydrostratigraphic units in the study area. Variations in the amount and type of porosity of the lithostratigraphic unit, which vary depending on the depositional environment, lithology, structural history and diagenesis support the resulting hydrostratigraphy proposed herein.
\nRocks exposed in the study area consist of Early Cretaceous sedimentary rocks that are assigned to the Trinity Group. The lithostratigraphy includes the Hammett Shale, Cow Creek Limestone, Hensell Sand Members of the Pearsall Formation, and the lower member of the Glen Rose Limestone. These lithologic units contain shale, grainstone, sandstone, and fossiliferous limestone, alternating and interfingering with mudstone, wackestone, packstone, and grainstone.
\nThe Trinity aquifer hydrostratigraphic units shown on the map and described herein are characterized by their porosity types. Porosity types were first determined from an analysis of two boreholes conducted in comparison with 143 geophysical logs from northern Bexar County, Texas. The cores and geophysical log comparison resulted in division of the lower member of the Glen Rose Limestone into six hydrostratigraphic units, designated A through F. Of those six units, only three remain in the study area because of erosion. The proposed naming of these three hydrostratigraphic units is based on topographic or historical features that occur in the outcrop area of those units. Hydrostratigraphic units that correlate with the boundaries of the formation have been given formational names excluding the lithologic modifier. The Doeppenschmidt hydrostratigraphic unit is stratigraphically the highest interval in the study area, characterized by interparticle, moldic, burrowed, bedding plane, fracture, and cave porosity. The underlying Rust hydrostratigraphic unit appears to be a confining unit with springs/seeps issuing near the contact with the overlying Doeppenschmidt unit. The Rust unit has interparticle, fracture, and cave porosity with cave porosity primarily associated with faulting. The Honey Creek hydrostratigraphic unit is an aquifer in the subsurface and exhibits extremely, well developed porosity and permeability including— interparticle, moldic, burrowed, bedding plane, fracture, channel, and cave porosity. This unit is named for Honey Creek Cave, which discharges water into Honey Creek. The Hensell hydrostratigraphic unit contains primarily interparticle porosity, but also exhibits some moldic and cave porosity in its upper parts. The Cow Creek hydrostratigraphic unit contains interparticle, moldic, vug, burrowed, fracture, bedding plane, channel, and cave porosity. The Cow Creek hydrostratigraphic unit is an aquifer in the subsurface and is the primary target for water-well drillers in the area. The Hammett hydrostratigraphic unit is not exposed in the study area but is thought to underlie parts of the Guadalupe River, based on mapping of the overlying units and comparisons with subsurface thicknesses obtained from the geophysical log. The Hammett unit restricts the downward migration of groundwater, resulting in springs that discharge at the base of the Cow Creek unit. These springs also create some base flow to the Guadalupe River during periods of extreme drought.
\nThe faulting and fracturing in the study area are part of the Miocene Balcones Fault Zone, which is an extensional system of faults that generally trend southwest to northeast in south-central Texas. An igneous dike, containing aphanitic texture, cuts through the center of the study area near the confluence of Honey Creek and the Guadalupe River. The dike penetrates the Cow Creek Limestone and the lower part of the Hensell Sand, which outcrops at three locations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3303","usgsCitation":"Clark, A.K., Blome, C.D., and Morris, R., 2014, Geology and hydrostratigraphy of Guadalupe River State Park and Honey Creek State Natural Area, Kendall and Comal Counties, Texas: U.S. Geological Survey Scientific Investigations Map 3303, Report: iv, 8 p.; Plate: 37.35 x 31.80 inches; Downloads Directory, https://doi.org/10.3133/sim3303.","productDescription":"Report: iv, 8 p.; Plate: 37.35 x 31.80 inches; Downloads Directory","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049375","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":289527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3303.jpg"},{"id":289524,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3303/pdf/sim3303_pamphlet.pdf"},{"id":289526,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3303/downloads/"},{"id":289525,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3303/pdf/sim3303_map.pdf"},{"id":289523,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3303/"}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 14","datum":"North American Datum of 1983","country":"United States","state":"Texas","county":"Comal County;Kendall County","otherGeospatial":"Guadalupe River State Park;Honey Creek State Natural Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.920799,29.537296 ], [ -98.920799,30.138954 ], [ -98.102281,30.138954 ], [ -98.102281,29.537296 ], [ -98.920799,29.537296 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04d8e4b00cbf31f72325","contributors":{"authors":[{"text":"Clark, Allan K. 0000-0003-0099-1521 akclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":1279,"corporation":false,"usgs":true,"family":"Clark","given":"Allan","email":"akclark@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":494480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morris, Robert R. 0000-0001-7504-3732","orcid":"https://orcid.org/0000-0001-7504-3732","contributorId":106213,"corporation":false,"usgs":true,"family":"Morris","given":"Robert R.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494482,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70115721,"text":"70115721 - 2014 - Carnivore distributions across chaparral habitats exposed to wildfire and rural housing in southern California","interactions":[],"lastModifiedDate":"2014-07-08T09:47:55","indexId":"70115721","displayToPublicDate":"2014-07-08T09:37:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Carnivore distributions across chaparral habitats exposed to wildfire and rural housing in southern California","docAbstract":"Chaparral and coastal sage scrub habitats in southern California support biologically diverse plant and animal communities. However, native plant and animal species within these shrubland systems are increasingly exposed to human-caused wildfires and an expansion of the human–wildland interface. Few data exist to evaluate the effects of fire and anthropogenic pressures on plant and animal communities found in these environments. This is particularly true for carnivore communities. To address this knowledge gap, we collected detection–non-detection data with motion-sensor cameras and track plots to measure carnivore occupancy patterns following a large, human-caused wildfire (1134 km2) in eastern San Diego County, California, USA, in 2003. Our focal species set included coyote (Canis latrans), gray fox (Urocyon cinereoargenteus), bobcat (Lynx rufus) and striped skunk (Mephitis mephitis). We evaluated the influence on species occupancies of the burned environment (burn edge, burn interior and unburned areas), proximity of rural homes, distance to riparian area and elevation. Gray fox occupancies were the highest overall, followed by striped skunk, coyote and bobcat. The three species considered as habitat and foraging generalists (gray fox, coyote, striped skunk) were common in all conditions. Occupancy patterns were consistent through time for all species except coyote, whose occupancies increased through time. In addition, environmental and anthropogenic variables had weak effects on all four species, and these responses were species-specific. Our results helped to describe a carnivore community exposed to frequent fire and rural human residences, and provide baseline data to inform fire management policy and wildlife management strategies in similar fire-prone ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Wildland Fire","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"CSIRO Publishing","publisherLocation":"Collingwood, Australia","doi":"10.1071/WF13062","usgsCitation":"Schuette, P., Diffendorfer, J., Deutschman, D., Tremor, S., and Spencer, W., 2014, Carnivore distributions across chaparral habitats exposed to wildfire and rural housing in southern California: International Journal of Wildland Fire, v. 23, no. 4, p. 591-600, https://doi.org/10.1071/WF13062.","productDescription":"10 p.","startPage":"591","endPage":"600","numberOfPages":"10","ipdsId":"IP-053061","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":472887,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/8925","text":"External Repository"},{"id":289515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289497,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1071/WF13062"}],"country":"United States","state":"California","county":"San Diego County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.777778,32.791667 ], [ -116.777778,33.083333 ], [ -116.444444,33.083333 ], [ -116.444444,32.791667 ], [ -116.777778,32.791667 ] ] ] } } ] }","volume":"23","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04d7e4b00cbf31f72321","contributors":{"authors":[{"text":"Schuette, P.A.","contributorId":34438,"corporation":false,"usgs":true,"family":"Schuette","given":"P.A.","email":"","affiliations":[],"preferred":false,"id":495674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, J.E.","contributorId":28569,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":495673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deutschman, D.H.","contributorId":13183,"corporation":false,"usgs":true,"family":"Deutschman","given":"D.H.","affiliations":[],"preferred":false,"id":495671,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tremor, S.","contributorId":93396,"corporation":false,"usgs":true,"family":"Tremor","given":"S.","affiliations":[],"preferred":false,"id":495675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spencer, W.","contributorId":14303,"corporation":false,"usgs":true,"family":"Spencer","given":"W.","email":"","affiliations":[],"preferred":false,"id":495672,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70112950,"text":"ofr20141124 - 2014 - Preliminary bedrock and surficial geologic map of the west half of the Sanders 30' x 60' quadrangle, Navajo and Apache Counties, northern Arizona","interactions":[],"lastModifiedDate":"2023-05-26T15:26:39.266888","indexId":"ofr20141124","displayToPublicDate":"2014-07-08T08:40:00","publicationYear":"2014","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":"2014-1124","title":"Preliminary bedrock and surficial geologic map of the west half of the Sanders 30' x 60' quadrangle, Navajo and Apache Counties, northern Arizona","docAbstract":"The bedrock and surficial geologic map of the west half of the Sanders 30' x 60' quadrangle was completed in a cooperative effort of the U.S. Geological Survey (USGS) and the Navajo Nation to provide regional geologic information for management and planning officials. This report provides baseline geologic information that will be useful in future studies of groundwater and surface water resources, geologic hazards, and the distribution of soils and plants.
\nThe west half of the Sanders quadrangle encompasses approximately 2,509 km2 (980 mi2) within Navajo and Apache Counties of northern Arizona and is bounded by lat 35°30' to 35° N., long 109°30' to 110° W. The majority of the land within the map area lies within the Navajo Nation. South of the Navajo Nation, private and State lands form a checkerboard pattern east and west of Petrified Forest National Park.
\nIn the west half of the Sanders quadrangle, Mesozoic bedrock is nearly flat lying except near folds. A shallow Cenozoic erosional basin that developed about 20 Ma in the western part of the map area cut across late Paleozoic and Mesozoic rocks that were subsequently filled with flat-lying Miocene and Pliocene mudstone and argillaceous sandstone and fluvial sediments of the Bidahochi Formation and associated volcanic rocks of the Hopi Buttes volcanic field. The Bidahochi rocks are capped by Pliocene(?) and Pleistocene fluvial sediments and Quaternary eolian and alluvial deposits. Erosion along northeast-southwest-oriented drainages have exposed elongated ridges of Bidahochi Formation and basin-fill deposits that are exposed through shallow eolian cover of similarly oriented longitudinal dunes. Stokes (1964) concluded that the accumulation of longitudinal sand bodies and the development of confined parallel drainages are simultaneous processes resulting in parallel sets of drainages and ridges oriented along the prevailing southwest wind direction on the southern Colorado Plateau.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141124","collaboration":"Prepared in cooperation with the Navajo Nation","usgsCitation":"Amoroso, L., Priest, S.S., and Hiza-Redsteer, M., 2014, Preliminary bedrock and surficial geologic map of the west half of the Sanders 30' x 60' quadrangle, Navajo and Apache Counties, northern Arizona: U.S. Geological Survey Open-File Report 2014-1124, 2 Sheets: 41.96 x 55.0 inches and 30.0 x 28.05 inches; Pamphlet: ii, 30 p.; Database; Shape Files; Readme; Metadata, https://doi.org/10.3133/ofr20141124.","productDescription":"2 Sheets: 41.96 x 55.0 inches and 30.0 x 28.05 inches; Pamphlet: ii, 30 p.; Database; Shape Files; Readme; Metadata","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042294","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":289506,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1124/pdf/ofr2014-1124_pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":417503,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100395.htm","linkFileType":{"id":5,"text":"html"}},{"id":289511,"rank":9,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141124.jpg"},{"id":289508,"rank":8,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2014/1124/downloads/ofr2014-1124_shape.zip"},{"id":289509,"rank":7,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2014/1124/downloads/ofr2014-1124_readme.txt","linkFileType":{"id":2,"text":"txt"}},{"id":289504,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1124/pdf/ofr2014-1124_sheet1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":289505,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1124/pdf/ofr2014-1124_sheet2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":289507,"rank":1,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2014/1124/downloads/ofr2014-1124_database.zip"},{"id":289510,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2014/1124/downloads/ofr2014-1124_metadata.txt"},{"id":289500,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1124/","linkFileType":{"id":5,"text":"html"}}],"scale":"50000","projection":"Polyconic projection","datum":"1927 North American Datum","country":"United States","state":"Arizona","county":"Apache County, Navajo County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.0,35.0 ], [ -110.0,35.5 ], [ -109.5,35.5 ], [ -109.5,35.0 ], [ -110.0,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04dbe4b00cbf31f72335","contributors":{"authors":[{"text":"Amoroso, Lee lamoroso@usgs.gov","contributorId":3069,"corporation":false,"usgs":true,"family":"Amoroso","given":"Lee","email":"lamoroso@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Priest, Susan S. spriest@usgs.gov","contributorId":30204,"corporation":false,"usgs":true,"family":"Priest","given":"Susan","email":"spriest@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":false,"id":494962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hiza-Redsteer, Margaret","contributorId":77020,"corporation":false,"usgs":true,"family":"Hiza-Redsteer","given":"Margaret","email":"","affiliations":[],"preferred":false,"id":494963,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70115120,"text":"ofr20141135 - 2014 - 2010 weather and aeolian sand-transport data from the Colorado River corridor, Grand Canyon, Arizona","interactions":[],"lastModifiedDate":"2014-07-08T08:57:21","indexId":"ofr20141135","displayToPublicDate":"2014-07-08T08:35:00","publicationYear":"2014","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":"2014-1135","title":"2010 weather and aeolian sand-transport data from the Colorado River corridor, Grand Canyon, Arizona","docAbstract":"Measurements of weather parameters and aeolian sand transport were made in 2010 near selected archeological sites in the Colorado River corridor through Grand Canyon, Arizona. Data collected in 2010 indicate event- and seasonal-scale variations in rainfall, wind, temperature, humidity, and barometric pressure. Differences in weather patterns between 2009 and 2010 included a slightly later spring windy season, greater spring precipitation and annual rainfall totals, and a later onset and length of the reduced diurnal barometric-pressure fluctuations commonly associated with summer monsoon conditions. The increase in spring precipitation was consistent with the 2010 spring El Niño conditions compared to the 2009 spring La Niña conditions, whereas the subsequent transition to an El Niño-Southern Oscillation neutral phase appeared to delay the reduction in diurnal barometric fluctuations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141135","usgsCitation":"Dealy, T.P., East, A., and Fairley, H., 2014, 2010 weather and aeolian sand-transport data from the Colorado River corridor, Grand Canyon, Arizona: U.S. Geological Survey Open-File Report 2014-1135, vi, 90 p., https://doi.org/10.3133/ofr20141135.","productDescription":"vi, 90 p.","numberOfPages":"100","onlineOnly":"Y","ipdsId":"IP-041383","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":289503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141135.jpg"},{"id":289502,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1135/pdf/ofr2014-1135.pdf"},{"id":289499,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1135/"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River;Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.5,35.5 ], [ -114.5,37.25 ], [ -110.75,37.25 ], [ -110.75,35.5 ], [ -114.5,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04d2e4b00cbf31f7231f","contributors":{"authors":[{"text":"Dealy, Timothy P.","contributorId":19263,"corporation":false,"usgs":true,"family":"Dealy","given":"Timothy","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":495564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"East, Amy E.","contributorId":91407,"corporation":false,"usgs":true,"family":"East","given":"Amy E.","affiliations":[],"preferred":false,"id":495565,"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":495563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70115626,"text":"70115626 - 2014 - Effects of disturbance associated with seismic exploration for oil and gas reserves in coastal marshes","interactions":[],"lastModifiedDate":"2014-07-07T13:32:37","indexId":"70115626","displayToPublicDate":"2014-07-07T13:17:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of disturbance associated with seismic exploration for oil and gas reserves in coastal marshes","docAbstract":"Anthropogenic disturbances in wetland ecosystems can alter the composition and structure of plant assemblages and affect system functions. Extensive oil and gas extraction has occurred in wetland habitats along the northern Gulf of Mexico coast since the early 1900s. Activities involved with three-dimensional (3D) seismic exploration for these resources cause various disturbances to vegetation and soils. We documented the impact of a 3D seismic survey in coastal marshes in Louisiana, USA, along transects established before exploration began. Two semi-impounded marshes dominated by Spartina patens were in the area surveyed. Vegetation, soil, and water physicochemical data were collected before the survey, about 6 weeks following its completion, and every 3 months thereafter for 2 years. Soil cores for seed bank emergence experiments were also collected. Maximum vegetation height at impact sites was reduced in both marshes 6 weeks following the survey. In one marsh, total vegetation cover was also reduced, and dead vegetation cover increased, at impact sites 6 weeks after the survey. These effects, however, did not persist 3 months later. No effects on soil or water properties were identified. The total number of seeds that germinated during greenhouse studies increased at impact sites 5 months following the survey in both marshes. Although some seed bank effects persisted 1 year, these effects were not reflected in standing vegetation. The marshes studied were therefore resilient to the impacts resulting from 3D seismic exploration because vegetation responses were short term in that they could not be identified a few months following survey completion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00267-014-0274-2","usgsCitation":"Howard, R.J., Wells, C.J., Michot, T.C., and Johnson, D., 2014, Effects of disturbance associated with seismic exploration for oil and gas reserves in coastal marshes: Environmental Management, v. 54, no. 1, p. 30-50, https://doi.org/10.1007/s00267-014-0274-2.","productDescription":"21 p.","startPage":"30","endPage":"50","numberOfPages":"21","ipdsId":"IP-046156","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":289476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289475,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-014-0274-2"}],"projection":"Universal Transverse Mercator, zone 15","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0,29.666667 ], [ -94.0,30.166667 ], [ -93.166667,30.166667 ], [ -93.166667,29.666667 ], [ -94.0,29.666667 ] ] ] } } ] }","volume":"54","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-05-01","publicationStatus":"PW","scienceBaseUri":"53bbb34fe4b084059e8bfeab","contributors":{"authors":[{"text":"Howard, Rebecca J. 0000-0001-7264-4364 howardr@usgs.gov","orcid":"https://orcid.org/0000-0001-7264-4364","contributorId":2429,"corporation":false,"usgs":true,"family":"Howard","given":"Rebecca","email":"howardr@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":495655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wells, Christopher J. wellsc@usgs.gov","contributorId":5607,"corporation":false,"usgs":true,"family":"Wells","given":"Christopher","email":"wellsc@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":495656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michot, Thomas C. 0000-0002-7044-987X","orcid":"https://orcid.org/0000-0002-7044-987X","contributorId":57935,"corporation":false,"usgs":true,"family":"Michot","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":495657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Darren J.","contributorId":100291,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren J.","affiliations":[],"preferred":false,"id":495658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70111683,"text":"70111683 - 2014 - Reproductive health indicators of fishes from Pennsylvania watersheds: association with chemicals of emerging concern","interactions":[],"lastModifiedDate":"2014-09-05T08:45:58","indexId":"70111683","displayToPublicDate":"2014-07-07T10:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive health indicators of fishes from Pennsylvania watersheds: association with chemicals of emerging concern","docAbstract":"Fishes were collected at 16 sites within the three major river drainages (Delaware, Susquehanna, and Ohio) of Pennsylvania. Three species were evaluated for biomarkers of estrogenic/antiandrogenic exposure, including plasma vitellogenin and testicular oocytes in male fishes. Smallmouth bass Micropterus dolomieu, white sucker Catostomus commersonii, and redhorse sucker Moxostoma species were collected in the summer, a period of low flow and low reproductive activity. Smallmouth bass were the only species in which testicular oocytes were observed; however, measurable concentrations of plasma vitellogenin were found in male bass and white sucker. The percentage of male bass with testicular oocytes ranged from 10 to 100 %, with the highest prevalence and severity in bass collected in the Susquehanna drainage. The percentage of males with plasma vitellogenin ranged from 0 to 100 % in both bass and sucker. Biological findings were compared with chemical analyses of discrete water samples collected at the time of fish collections. Estrone concentrations correlated with testicular oocytes prevalence and severity and with the percentage of male bass with vitellogenin. No correlations were noted with the percentage of male sucker with vitellogenin and water chemical concentrations. The prevalence and severity of testicular oocytes in bass also correlated with the percent of agricultural land use in the watershed above a site. Two sites within the Susquehanna drainage and one in the Delaware were immediately downstream of wastewater treatment plants to compare results with upstream fish. The percentage of male bass with testicular oocytes was not consistently higher downstream; however, severity did tend to increase downstream.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer International Publishing","doi":"10.1007/s10661-014-3868-5","usgsCitation":"Blazer, V., Iwanowicz, D., Walsh, H., Sperry, A., Iwanowicz, L., Alvarez, D., Brightbill, R., Smith, G., Foreman, W., and Manning, R., 2014, Reproductive health indicators of fishes from Pennsylvania watersheds: association with chemicals of emerging concern: Environmental Monitoring and Assessment, v. 186, no. 10, p. 6471-6491, https://doi.org/10.1007/s10661-014-3868-5.","productDescription":"21 p.","startPage":"6471","endPage":"6491","numberOfPages":"21","ipdsId":"IP-055110","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":472888,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-014-3868-5","text":"Publisher Index Page"},{"id":289460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289458,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-014-3868-5"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Delaware River;Ohio River;Susquehanna River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.66,38.89 ], [ -80.66,44.0 ], [ -74.69,44.0 ], [ -74.69,38.89 ], [ -80.66,38.89 ] ] ] } } ] }","volume":"186","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-06-17","publicationStatus":"PW","scienceBaseUri":"53bbb350e4b084059e8bfeaf","contributors":{"authors":[{"text":"Blazer, V. S. 0000-0001-6647-9614","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":56991,"corporation":false,"usgs":true,"family":"Blazer","given":"V. S.","affiliations":[],"preferred":false,"id":494415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, D.D.","contributorId":97706,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":494419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, H.L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":15927,"corporation":false,"usgs":true,"family":"Walsh","given":"H.L.","email":"hwalsh@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":494410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sperry, A.J.","contributorId":82615,"corporation":false,"usgs":true,"family":"Sperry","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":494417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iwanowicz, L. R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":43864,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"L. R.","affiliations":[],"preferred":false,"id":494413,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alvarez, D.A.","contributorId":39481,"corporation":false,"usgs":true,"family":"Alvarez","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":494412,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brightbill, R.A.","contributorId":79523,"corporation":false,"usgs":true,"family":"Brightbill","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":494416,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, G.","contributorId":52918,"corporation":false,"usgs":true,"family":"Smith","given":"G.","affiliations":[],"preferred":false,"id":494414,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Foreman, W.T.","contributorId":94684,"corporation":false,"usgs":true,"family":"Foreman","given":"W.T.","email":"","affiliations":[],"preferred":false,"id":494418,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Manning, R.","contributorId":24887,"corporation":false,"usgs":true,"family":"Manning","given":"R.","affiliations":[],"preferred":false,"id":494411,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70111390,"text":"sir20145092 - 2014 - Modeled sulfate concentrations in North Dakota streams, 1993-2008, based on spatial basin characteristics","interactions":[],"lastModifiedDate":"2015-05-01T09:36:36","indexId":"sir20145092","displayToPublicDate":"2014-07-07T10:04:00","publicationYear":"2014","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":"2014-5092","title":"Modeled sulfate concentrations in North Dakota streams, 1993-2008, based on spatial basin characteristics","docAbstract":"Sulfate concentration data collected from North Dakota streams during recent (1993–2008) years indicates generally higher sulfate concentrations across much of the State compared to concentrations during earlier years. The higher sulfate concentrations have been attributed in other studies to wetter climatic conditions, associated increases in contributing drainage areas, and rising water tables. The State’s current (2013) stream classification system, which includes a standard for 30-day average sulfate concentration, is based on earlier data and thus may not reflect natural conditions for more recent years. The U.S. Geological Survey, in cooperation with the North Dakota Department of Health and the North Dakota State Water Commission, completed a study to evaluate the relation of maximum seasonal (30-day moving average) sulfate concentrations during 1993–2008 to characteristics of the contributing basins to model expected naturally-occurring sulfate concentrations in North Dakota streams.
\nSulfate concentration data for 75 stream sampling sites in North Dakota were analyzed for this study. A spatial analysis was conducted with digital data using a Geographic Information System to obtain selected basin characteristics, which were in turn used as explanatory variables in a regression analysis to model the maximum seasonal (30-day moving average) sulfate concentration. Characteristics used in the regression analysis included mean annual precipitation, mean percent soil clay content, and mean percent saturation overland flow.
\nModeled sulfate concentrations generally were highest (greater than 750 milligrams per liter) in basins in western North Dakota and lowest (less than 250 milligrams per liter) in basins in the upper Sheyenne River and upper James River. Area-weighted means for the basin characteristics also were computed for 10-digit and 8-digit hydrologic units for streams in North Dakota and modeled sulfate concentrations were computed from the characteristics. The resulting distribution of modeled sulfate concentrations was similar to the distribution of estimates for the 12-digit hydrologic units, but less variable because the basin characteristics were averaged over larger areas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145092","collaboration":"Prepared in cooperation with the North Dakota Department of Health and the North Dakota State Water Commission","usgsCitation":"Galloway, J.M., and Vecchia, A.V., 2014, Modeled sulfate concentrations in North Dakota streams, 1993-2008, based on spatial basin characteristics: U.S. Geological Survey Scientific Investigations Report 2014-5092, iv, 22 p., https://doi.org/10.3133/sir20145092.","productDescription":"iv, 22 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1993-01-01","temporalEnd":"2008-12-31","ipdsId":"IP-054465","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":289454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145092.jpg"},{"id":289447,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5092/"},{"id":289453,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5092/pdf/sir2014-5092.pdf"}],"projection":"Universal Transverse Mercator projection, Zone 14","country":"United States","state":"North Dakota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.47,44.59 ], [ -105.47,49.27 ], [ -94.5,49.27 ], [ -94.5,44.59 ], [ -105.47,44.59 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bbb350e4b084059e8bfead","contributors":{"authors":[{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":494334,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70115555,"text":"70115555 - 2014 - Three-year growth response of young Douglas-fir to nitrogen, calcium, phosphorus, and blended fertilizers in Oregon and Washington","interactions":[],"lastModifiedDate":"2017-11-24T17:45:57","indexId":"70115555","displayToPublicDate":"2014-07-07T09:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Three-year growth response of young Douglas-fir to nitrogen, calcium, phosphorus, and blended fertilizers in Oregon and Washington","docAbstract":"Studies of nutrient limitation in Douglas-fir forests of the Pacific Northwest focus predominantly on nitrogen, yet many stands demonstrate negligible or even negative growth response to nitrogen fertilization. To understand what nutrients other than nitrogen may limit forest productivity in this region, we tested six fertilizer treatments for their ability to increase stem volume growth response of dominant and co-dominant trees in young Douglas-fir plantations across a range of foliar and soil chemistry in western Oregon and Washington. We evaluated responses to single applications of urea, lime, calcium chloride, or monosodium phosphate at 16 sites, and to two site-specific nutrients blends at 12 of these sites. Across sites, the average stem volume growth increased marginally with urea, lime, and phosphorus fertilization. Fertilization responses generally aligned with plant and soil indicators of nutrient limitation. Response to nitrogen addition was greatest on soils with low total nitrogen and high exchangeable calcium concentrations. Responses to lime and calcium chloride additions were greatest at sites with low foliar calcium and low soil pH. Response to phosphorus addition was greatest on sites with low foliar phosphorus and high soil pH. Blended fertilizers yielded only marginal growth increases at one site, with no consistent effect across sites. Overall, our results highlight that calcium and phosphorus can be important growth limiting nutrients on specific sites in nitrogen-rich Douglas-fir forests of the Pacific Northwest.","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2014.05.005","usgsCitation":"Mainwaring, D.B., Maguire, D.A., and Perakis, S., 2014, Three-year growth response of young Douglas-fir to nitrogen, calcium, phosphorus, and blended fertilizers in Oregon and Washington: Forest Ecology and Management, v. 327, p. 178-188, https://doi.org/10.1016/j.foreco.2014.05.005.","productDescription":"11 p.","startPage":"178","endPage":"188","ipdsId":"IP-027655","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":289449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Pacific Northwest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,42.0 ], [ -124.79,49.0 ], [ -121.09,49.0 ], [ -121.09,42.0 ], [ -124.79,42.0 ] ] ] } } ] }","volume":"327","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bbb351e4b084059e8bfeb1","contributors":{"authors":[{"text":"Mainwaring, Douglas B.","contributorId":43274,"corporation":false,"usgs":true,"family":"Mainwaring","given":"Douglas","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":495652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maguire, Douglas A.","contributorId":71142,"corporation":false,"usgs":true,"family":"Maguire","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":495653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perakis, Steven S. 0000-0003-0703-9314","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":16797,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven S.","affiliations":[],"preferred":false,"id":495651,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70118111,"text":"70118111 - 2014 - Climate-driven effects of fire on winter habitat for caribou in the Alaskan-Yukon Arctic","interactions":[],"lastModifiedDate":"2014-07-25T15:30:39","indexId":"70118111","displayToPublicDate":"2014-07-03T15:23:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Climate-driven effects of fire on winter habitat for caribou in the Alaskan-Yukon Arctic","docAbstract":"Climatic warming has direct implications for fire-dominated disturbance patterns in northern ecosystems. A transforming wildfire regime is altering plant composition and successional patterns, thus affecting the distribution and potentially the abundance of large herbivores. Caribou (Rangifer tarandus) are an important subsistence resource for communities throughout the north and a species that depends on terrestrial lichen in late-successional forests and tundra systems. Projected increases in area burned and reductions in stand ages may reduce lichen availability within caribou winter ranges. Sufficient reductions in lichen abundance could alter the capacity of these areas to support caribou populations. To assess the potential role of a changing fire regime on winter habitat for caribou, we used a simulation modeling platform, two global circulation models (GCMs), and a moderate emissions scenario to project annual fire characteristics and the resulting abundance of lichen-producing vegetation types (i.e., spruce forests and tundra >60 years old) across a modeling domain that encompassed the winter ranges of the Central Arctic and Porcupine caribou herds in the Alaskan-Yukon Arctic. Fires were less numerous and smaller in tundra compared to spruce habitats throughout the 90-year projection for both GCMs. Given the more likely climate trajectory, we projected that the Porcupine caribou herd, which winters primarily in the boreal forest, could be expected to experience a greater reduction in lichen-producing winter habitats (−21%) than the Central Arctic herd that wintered primarily in the arctic tundra (−11%). Our results suggest that caribou herds wintering in boreal forest will undergo fire-driven reductions in lichen-producing habitats that will, at a minimum, alter their distribution. Range shifts of caribou resulting from fire-driven changes to winter habitat may diminish access to caribou for rural communities that reside in fire-prone areas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0100588","usgsCitation":"Gustine, D.D., Brinkman, T.J., Lindgren, M.A., Schmidt, J.I., Rupp, T., and Adams, L., 2014, Climate-driven effects of fire on winter habitat for caribou in the Alaskan-Yukon Arctic: PLoS ONE, v. 9, no. 7, 11 p., https://doi.org/10.1371/journal.pone.0100588.","productDescription":"11 p.","numberOfPages":"11","onlineOnly":"Y","ipdsId":"IP-052662","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":472889,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0100588","text":"Publisher Index Page"},{"id":291042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291037,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0100588"}],"country":"Canada;United States","state":"Alaska;Yukon","otherGeospatial":"Alaskan-yukon Arctic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -151.56,63.83 ], [ -151.56,70.59 ], [ -133.51,70.59 ], [ -133.51,63.83 ], [ -151.56,63.83 ] ] ] } } ] }","volume":"9","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-07-03","publicationStatus":"PW","scienceBaseUri":"57f7f0bbe4b0bc0bec09f954","contributors":{"authors":[{"text":"Gustine, David D. dgustine@usgs.gov","contributorId":3776,"corporation":false,"usgs":true,"family":"Gustine","given":"David","email":"dgustine@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":496353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brinkman, Todd J.","contributorId":39696,"corporation":false,"usgs":true,"family":"Brinkman","given":"Todd","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":496356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindgren, Michael A.","contributorId":33237,"corporation":false,"usgs":true,"family":"Lindgren","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":496355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, Jennifer I.","contributorId":98656,"corporation":false,"usgs":true,"family":"Schmidt","given":"Jennifer","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":496357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rupp, T. Scott","contributorId":21395,"corporation":false,"usgs":true,"family":"Rupp","given":"T. Scott","affiliations":[],"preferred":false,"id":496354,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":496352,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70209284,"text":"70209284 - 2014 - A database and synthesis of northern peatland soil properties and Holocene carbon and nitrogen accumulation","interactions":[],"lastModifiedDate":"2020-03-27T08:23:19","indexId":"70209284","displayToPublicDate":"2014-07-03T07:56:24","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3562,"text":"The Holocene","active":true,"publicationSubtype":{"id":10}},"title":"A database and synthesis of northern peatland soil properties and Holocene carbon and nitrogen accumulation","docAbstract":"Here, we present results from the most comprehensive compilation of Holocene peat soil properties with associated carbon and nitrogen accumulation rates for northern peatlands. Our database consists of 268 peat cores from 215 sites located north of 45°N. It encompasses regions within which peat carbon data have only recently become available, such as the West Siberia Lowlands, the Hudson Bay Lowlands, Kamchatka in Far East Russia, and the Tibetan Plateau. For all northern peatlands, carbon content in organic matter was estimated at 42 ± 3% (standard deviation) for Sphagnum peat, 51 ± 2% for non-Sphagnum peat, and at 49 ± 2% overall. Dry bulk density averaged 0.12 ± 0.07 g/cm3, organic matter bulk density averaged 0.11 ± 0.05 g/cm3, and total carbon content in peat averaged 47 ± 6%. In general, large differences were found between Sphagnum and non-Sphagnum peat types in terms of peat properties. Time-weighted peat carbon accumulation rates averaged 23 ± 2 (standard error of mean) g C/m2/yr during the Holocene on the basis of 151 peat cores from 127 sites, with the highest rates of carbon accumulation (25–28 g C/m2/yr) recorded during the early Holocene when the climate was warmer than the present. Furthermore, we estimate the northern peatland carbon and nitrogen pools at 436 and 10 gigatons, respectively. The database is publicly available at https://peatlands.lehigh.edu.
During the 2011 Mississippi River Basin flood, the U.S. Geological Survey evaluated aspects of critical river infrastructure at the request of and in support of local, State, and Federal Agencies. Geotechnical and hydrographic data collected by the U.S. Geological Survey at numerous locations were able to provide needed information about 2011 flood effects to those managing the critical infrastructure. These data were collected and processed in a short time frame to provide managers the ability to make a timely evaluation of the safety of the infrastructure and, when needed, to take action to secure and protect critical infrastructure. Critical infrastructure surveyed by the U.S. Geological Survey included levees, bridges, pipeline crossings, power plant intakes and outlets, and an electrical transmission tower.
Capacitively coupled resistivity data collected along the flood-protection levees surrounding the Omaha Public Power District Nebraska City power plant (Missouri River Levee Unit R573), mapped the near-subsurface electrical properties of the levee and the materials immediately below it. The near-subsurface maps provided a better understanding of the levee construction and the nature of the lithology beneath the levee. Comparison of the capacitively coupled resistivity surveys and soil borings indicated that low-resistivity value material composing the levee generally is associated with lean clay and silt to about 2 to 4 meters below the surface, overlying a more resistive layer associated with sand deposits. In general, the resistivity structure becomes more resistive to the south and the southern survey sections correlate well with the borehole data that indicate thinner clay and silt at the surface and thicker sand sequences at depth in these sections. With the resistivity data Omaha Public Power District could focus monitoring efforts on areas with higher resistivity values (coarser-grained deposits or more loosely compacted section), which typically are more prone to erosion or scour.
Data collected from multibeam echosounder hydrographic surveys at selected bridges aided State agencies in evaluating the structural integrity of the bridges during the flood, by assessing the amount of scour present around piers and abutments. Hydrographic surveys of the riverbed detected scour depths ranging from zero (no scour) to approximately 5.8 meters in some areas adjacent to North Dakota bridge piers, zero to approximately 6 meters near bridge piers in Nebraska, and zero to approximately 10.4 meters near bridge piers in Missouri. Substructural support elements of some bridge piers in North Dakota, Nebraska, and Missouri that usually are buried were exposed to moving water and sediment. At five Missouri bridge piers the depth of scour left less than 1.8 meters of bed material between the bottom of the scour hole and bedrock. State agencies used this information along with bridge design and construction information to determine if reported scour depths would have a substantial effect on the stability of the structure.
Multibeam echosounder hydrographic surveys of the riverbed near pipeline crossings did not detect exposed pipelines. However, analysis of the USGS survey data by pipeline companies aided in their evaluation of pipeline safety and led one company to further investigate the safety of their line and assisted another company in getting one offline pipeline back into operation. Multibeam echosounder hydrographic surveys of the banks, riverbed, and underwater infrastructure at Omaha Public Power District power plants documented the bed and scour conditions. These datasets were used by Omaha Public Power District to evaluate the effects that the flood had on operation, specifically to evaluate if scour during the peak of the flood or sediment deposition during the flood recession would affect the water intake structures. Hydrographic surveys at an Omaha Public Power District electrical transmission tower documented scour so that they could evaluate the structural integrity of the tower as well as have the information needed to make proper repairs after flood waters receded.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2011 floods of the central United States (Professional Paper 1798)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798J","usgsCitation":"Densmore, B.K., Burton, B., Dietsch, B.J., Cannia, J.C., and Huizinga, R.J., 2014, Monitoring of levees, bridges, pipelines, and other critical infrastructure during the 2011 flooding in the Mississippi River Basin: U.S. Geological Survey Professional Paper 1798, iv, 28 p., https://doi.org/10.3133/pp1798J.","productDescription":"iv, 28 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-045564","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":289409,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798j/"},{"id":289410,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798j/pdf/pp1798j.pdf"},{"id":289411,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798j.jpg"}],"scale":"70000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","otherGeospatial":"Missouri River Basin, Mississippi River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.0,37.0 ], [ -110.0,50.0 ], [ -90.0,50.0 ], [ -90.0,37.0 ], [ -110.0,37.0 ] ] ] } } ] }","contact":"","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b1bce4b0388651d91825","contributors":{"authors":[{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":493331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannia, James C.","contributorId":94356,"corporation":false,"usgs":true,"family":"Cannia","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":493335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493333,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}