{"pageNumber":"1613","pageRowStart":"40300","pageSize":"25","recordCount":184605,"records":[{"id":70040095,"text":"70040095 - 2012 - A history of herpetologists and herpetology in the U.S. Department of the Interior","interactions":[],"lastModifiedDate":"2017-11-21T16:40:44","indexId":"70040095","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"A history of herpetologists and herpetology in the U.S. Department of the Interior","docAbstract":"The U.S. Department of the Interior (DOI) has a long and distinguished history of employing herpetologists to conduct basic and applied research to better manage amphibian and reptile populations on public lands and even outside the boundaries of the United States. This history extends back over 125 years with roots in the U.S. Biological Survey, the Fish and Wildlife Service, the Bureau of Land Management, the National Park Service and later, the National Biological Service. In more recent times, the DOI employed more professional herpetologists than any single organization in the world, especially in the U.S. Geological Survey. In 1938, Henry Fitch was the first Interior scientist hired who conducted substantial herpetological research. William and Lucille Stickel of the Fish and Wildlife Service conducted herpetological research throughout the period from the 1940s-1980s but most DOI herpetologists were hired from 1975-80 with another hiring spike from 2000-2005. The former spike was congruent with early versions of the Endangered Species Act while the latter reflected growing recognition of global amphibian decline and the creation of the Amphibian Research and Monitoring Initiative in DOI. Collectively, these herpetologists produced hundreds of books, scientific publications and other scholarly publications, many of which are classics in the literature. In addition, many have served as officers and on the boards of numerous scientific societies particularly those specializing in amphibian and reptile research. The DOI shows a continuing commitment to funding herpetological research by hiring young scientists to replace the aging ranks of herpetologists who started their careers in the 1970s. This commitment is critical given the global decline of both amphibians and reptiles, including those found on public lands in the United States.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Herpetological Conservation and Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Lovich, J.E., Scott, N.J., Bury, R.B., Dodd, C.K., and McDiarmid, R.W., 2012, A history of herpetologists and herpetology in the U.S. Department of the Interior: Herpetological Conservation and Biology, v. 7, 45 p.","productDescription":"45 p.","numberOfPages":"49","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":262160,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291209,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/volumes.html"}],"country":"United States","volume":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662502e4b053bff18e1bd4","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":467704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Norman J. Jr.","contributorId":91348,"corporation":false,"usgs":true,"family":"Scott","given":"Norman","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bury, R. Bruce buryb@usgs.gov","contributorId":3660,"corporation":false,"usgs":true,"family":"Bury","given":"R.","email":"buryb@usgs.gov","middleInitial":"Bruce","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":467706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dodd, C. Kenneth Jr.","contributorId":89215,"corporation":false,"usgs":true,"family":"Dodd","given":"C.","suffix":"Jr.","email":"","middleInitial":"Kenneth","affiliations":[],"preferred":false,"id":467707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDiarmid, Roy W. 0000-0002-7649-1796 rmcdiarmid@usgs.gov","orcid":"https://orcid.org/0000-0002-7649-1796","contributorId":3603,"corporation":false,"usgs":true,"family":"McDiarmid","given":"Roy","email":"rmcdiarmid@usgs.gov","middleInitial":"W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":467705,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040079,"text":"70040079 - 2012 - Electrical anisotropy of gas hydrate-bearing sand reservoirs in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2012-10-03T17:16:15","indexId":"70040079","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Electrical anisotropy of gas hydrate-bearing sand reservoirs in the Gulf of Mexico","docAbstract":"We present new results and interpretations of the electricalanisotropy and reservoir architecture in gashydrate-bearingsands using logging data collected during the Gulf of MexicoGasHydrate Joint Industry Project Leg II. We focus specifically on sandreservoirs in Hole Alaminos Canyon 21 A (AC21-A), Hole Green Canyon 955 H (GC955-H) and Hole Walker Ridge 313 H (WR313-H). Using a new logging-while-drilling directional resistivity tool and a one-dimensional inversion developed by Schlumberger, we resolve the resistivity of the current flowing parallel to the bedding, <i>R</i><sub>&#124;</sub> and the resistivity of the current flowing perpendicular to the bedding, <i>R</i><sub><u>&#124;</u></sub>. We find the sandreservoir in Hole AC21-A to be relatively isotropic, with <i>R</i><sub>&#124;</sub> and <i>R</i><sub><u>&#124;</u></sub> values close to 2 &Omega; m. In contrast, the gashydrate-bearingsandreservoirs in Holes GC955-H and WR313-H are highly anisotropic. In these reservoirs, <i>R</i><sub>&#124;</sub> is between 2 and 30 &Omega; m, and <i>R</i><sub><u>&#124;</u></sub> is generally an order of magnitude higher. Using Schlumberger's WebMI models, we were able to replicate multiple resistivity measurements and determine the formation resistivity the gashydrate-bearingsandreservoir in Hole WR313-H. The results showed that gashydrate saturations within a single reservoir unit are highly variable. For example, the sand units in Hole WR313-H contain thin layers (on the order of 10-100 cm) with varying gashydrate saturations between 15 and 95%. Our combined modeling results clearly indicate that the gashydrate-bearingsandreservoirs in Holes GC955-H and WR313-H are highly anisotropic due to varying saturations of gashydrate forming in thin layers within larger sand units.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine and Petroleum Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.marpetgeo.2011.09.003","usgsCitation":"Cook, A.E., Anderson, B.I., Rasmus, J., Sun, K., Li, Q., Collett, T.S., and Goldberg, D.S., 2012, Electrical anisotropy of gas hydrate-bearing sand reservoirs in the Gulf of Mexico: Marine and Petroleum Geology, v. 34, no. 1, p. 72-84, https://doi.org/10.1016/j.marpetgeo.2011.09.003.","productDescription":"13 p.","startPage":"72","endPage":"84","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":474342,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.7916/d8rf64h0","text":"External Repository"},{"id":262157,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262145,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2011.09.003"}],"country":"United States","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.85,18.166666666666668 ], [ -97.85,30.383333333333333 ], [ -81.03333333333333,30.383333333333333 ], [ -81.03333333333333,18.166666666666668 ], [ -97.85,18.166666666666668 ] ] ] } } ] }","volume":"34","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662510e4b053bff18e1bf2","contributors":{"authors":[{"text":"Cook, Anne E.","contributorId":84612,"corporation":false,"usgs":true,"family":"Cook","given":"Anne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Barbara I.","contributorId":69832,"corporation":false,"usgs":true,"family":"Anderson","given":"Barbara","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":467682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rasmus, John","contributorId":15451,"corporation":false,"usgs":true,"family":"Rasmus","given":"John","email":"","affiliations":[],"preferred":false,"id":467680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sun, Keli","contributorId":88993,"corporation":false,"usgs":true,"family":"Sun","given":"Keli","email":"","affiliations":[],"preferred":false,"id":467684,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Qiming","contributorId":36792,"corporation":false,"usgs":true,"family":"Li","given":"Qiming","email":"","affiliations":[],"preferred":false,"id":467681,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":467679,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goldberg, David S.","contributorId":96133,"corporation":false,"usgs":true,"family":"Goldberg","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":467685,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70173582,"text":"70173582 - 2012 - Semi-discrete biomass dynamic modeling: an improved approach for assessing fish stock responses to pulsed harvest events","interactions":[],"lastModifiedDate":"2016-06-09T16:00:13","indexId":"70173582","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Semi-discrete biomass dynamic modeling: an improved approach for assessing fish stock responses to pulsed harvest events","docAbstract":"<p><span>Continuous harvest over an annual period is a common assumption of continuous biomass dynamics models (CBDMs); however, fish are frequently harvested in a discrete manner. We developed semidiscrete biomass dynamics models (SDBDMs) that allow discrete harvest events and evaluated differences between CBDMs and SDBDMs using an equilibrium yield analysis with varying levels of fishing mortality&nbsp;(</span><i>F</i><span>). Equilibrium fishery yields for CBDMs and SDBDMS were similar at low fishing mortalities and diverged as&nbsp;</span><i>F</i><span>&nbsp;approached and exceeded maximum sustained yield (</span><i>F</i><sub>MSY</sub><span>). Discrete harvest resulted in lower equilibrium yields at high levels of&nbsp;</span><i>F</i><span>relative to continuous harvest. The effect of applying harvest continuously when it was in fact discrete was evaluated by fitting CBDMs and SDBDMs to time series data generated from a hypothetical fish stock undergoing discrete harvest and evaluating parameter estimates bias. Violating the assumption of continuous harvest resulted in biased parameter estimates for CBDM while SDBDM parameter estimates were unbiased. Biased parameter estimates resulted in biased biological reference points derived from CBDMs. Semidiscrete BDMs outperformed continuous BDMs and should be used when harvest is discrete, when the time and magnitude of harvest are known, and when&nbsp;</span><i>F</i><span>&nbsp;is greater than&nbsp;</span><i>F</i><sub>MSY</sub><span>.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/f2012-084","usgsCitation":"Pierce, C., Colvin, M., and Stewart, T.W., 2012, Semi-discrete biomass dynamic modeling: an improved approach for assessing fish stock responses to pulsed harvest events: Canadian Journal of Fisheries and Aquatic Sciences, v. 69, no. 10, p. 1710-1721, https://doi.org/10.1139/f2012-084.","productDescription":"12 p.","startPage":"1710","endPage":"1721","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033008","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":488456,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1060&context=nrem_pubs","text":"External Repository"},{"id":323438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a9336e4b04f417c27517e","contributors":{"authors":[{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colvin, Michael E. 0000-0002-6581-4764","orcid":"https://orcid.org/0000-0002-6581-4764","contributorId":171431,"corporation":false,"usgs":false,"family":"Colvin","given":"Michael E.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":637372,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stewart, Timothy W.","contributorId":171433,"corporation":false,"usgs":false,"family":"Stewart","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":637373,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70040101,"text":"70040101 - 2012 - Clutch and egg allometry of the turtle Mauremys leprosa (Chelonia: Geoemydidae) from a polluted peri-urban river in west-central Morocco","interactions":[],"lastModifiedDate":"2013-02-24T12:48:53","indexId":"70040101","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1895,"text":"Herpetological Journal","active":true,"publicationSubtype":{"id":10}},"title":"Clutch and egg allometry of the turtle Mauremys leprosa (Chelonia: Geoemydidae) from a polluted peri-urban river in west-central Morocco","docAbstract":"We examined the relationships of clutch size (CS) and egg size to female body size (straight-line carapace length, CL) in a population of the turtle Mauremys leprosa from a polluted segment of oued (river) Tensift in arid west-central Morocco. Twenty-eight adult females were collected in May&ndash;July, 2009 and all were gravid. Each was weighed, measured, humanely euthanized and then dissected. Oviductal shelled eggs were removed, weighed (egg mass, EM) and measured for length (EL) and width (EW). Clutch mass (CM) was the sum of EM for a clutch. Pelvic aperture width (PAW) was measured at the widest point between the ilia bones through which eggs must pass at oviposition. The smallest gravid female had a CL of 124.0 mm. Mean CS was relatively large (9.7&plusmn;2.0 eggs, range: 3&ndash;13) and may reflect high productivity associated with polluted (eutrophic) waters. Regression analyses were conducted using log-transformed data. CM increased isometrically with maternal body size. CS, EW and EM were all significantly hypoallometric in their relationship with CL. EL did not change significantly with increases in CL. EW increased at a hypoallometric rate with increasing CL but was unconstrained by PAW since the widest egg was smaller than the narrowest PAW measurement when excluding the three smallest females. Smaller females may have EW constrained by PAW. As females increase in size they increase both clutch size and egg width in contradiction to predictions of optimal egg size theory.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Herpetological Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"British Herpetological Society","publisherLocation":"Montrose, Angus, U.K.","usgsCitation":"Naimi, M., Znari, M., Lovich, J.E., Feddadi, Y., and Baamrane, M.A., 2012, Clutch and egg allometry of the turtle Mauremys leprosa (Chelonia: Geoemydidae) from a polluted peri-urban river in west-central Morocco: Herpetological Journal, v. 22, no. 1, p. 43-49.","productDescription":"7 p.","startPage":"43","endPage":"49","numberOfPages":"7","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":262154,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262144,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.ingentaconnect.com/content/bhs/thj/2012/00000022/00000001/art00007","linkFileType":{"id":5,"text":"html"}}],"country":"Morocco","otherGeospatial":"Tensift River","volume":"22","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5066250de4b053bff18e1be6","contributors":{"authors":[{"text":"Naimi, Mohamed","contributorId":40838,"corporation":false,"usgs":true,"family":"Naimi","given":"Mohamed","email":"","affiliations":[],"preferred":false,"id":467716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Znari, Mohammed","contributorId":42472,"corporation":false,"usgs":true,"family":"Znari","given":"Mohammed","email":"","affiliations":[],"preferred":false,"id":467717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":467715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feddadi, Youssef","contributorId":51590,"corporation":false,"usgs":true,"family":"Feddadi","given":"Youssef","email":"","affiliations":[],"preferred":false,"id":467718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baamrane, Moulay Abdeljalil Ait","contributorId":103516,"corporation":false,"usgs":true,"family":"Baamrane","given":"Moulay","email":"","middleInitial":"Abdeljalil Ait","affiliations":[],"preferred":false,"id":467719,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040063,"text":"70040063 - 2012 - Using integrated research and interdisciplinary science: Potential benefits and challenges to managers of parks and protected areas","interactions":[],"lastModifiedDate":"2017-11-25T13:45:57","indexId":"70040063","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3561,"text":"The George Wright Forum","active":true,"publicationSubtype":{"id":10}},"title":"Using integrated research and interdisciplinary science: Potential benefits and challenges to managers of parks and protected areas","docAbstract":"Our purpose in this paper is to build a case for utilizing interdisciplinary science to enhance the management of parks and protected areas. We suggest that interdisciplinary science is necessary for dealing with the complex issues of contemporary resource management, and that using the best available integrated scientific information be embraced and supported at all levels of agencies that manage parks and protected areas. It will take the commitment of park managers, scientists, and agency leaders to achieve the goal of implementing the results of interdisciplinary science into park management. Although such calls go back at least several decades, today interdisciplinary science is sporadically being promoted as necessary for supporting effective protected area management(e.g., Machlis et al. 1981; Kelleher and Kenchington 1991). Despite this history, rarely has \"interdisciplinary science\" been defined, its importance explained, or guidance provided on how to translate and then implement the associated research results into management actions (Tress et al. 2006; Margles et al. 2010). With the extremely complex issues that now confront protected areas (e.g., climate change influences, extinctions and loss of biodiversity, human and wildlife demographic changes, and unprecedented human population growth) information from more than one scientific discipline will need to be brought to bear in order to achieve sustained management solutions that resonate with stakeholders (Ostrom 2009). Although interdisciplinary science is not the solution to all problems, we argue that interdisciplinary research is an evolving and widely supported best practice. In the case of park and protected area management, interdisciplinary science is being driven by the increasing recognition of the complexity and interconnectedness of human and natural systems, and the notion that addressing many problems can be more rapidly advanced through interdisciplinary study and analysis.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The George Wright Forum","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The George Wright Society","publisherLocation":"Hancock, MI","usgsCitation":"van Riper, C., Powell, R.B., Machlis, G., van Wagtendonk, J., van Riper, C.J., von Ruschkowski, E., Schwarzbach, S.E., and Galipeau, R.E., 2012, Using integrated research and interdisciplinary science: Potential benefits and challenges to managers of parks and protected areas: The George Wright Forum, v. 29, no. 2, p. 216-226.","productDescription":"11 p.","startPage":"216","endPage":"226","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":262151,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262148,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.georgewright.org/node/7397","linkFileType":{"id":5,"text":"html"}}],"volume":"29","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662516e4b053bff18e1c19","contributors":{"authors":[{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":467653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Robert B.","contributorId":71428,"corporation":false,"usgs":true,"family":"Powell","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":467652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Machlis, Gary","contributorId":65318,"corporation":false,"usgs":true,"family":"Machlis","given":"Gary","email":"","affiliations":[],"preferred":false,"id":467651,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Wagtendonk, Jan W. 0000-0002-0788-2654","orcid":"https://orcid.org/0000-0002-0788-2654","contributorId":98269,"corporation":false,"usgs":true,"family":"van Wagtendonk","given":"Jan W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":467655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Riper, Carena J.","contributorId":42827,"corporation":false,"usgs":false,"family":"van Riper","given":"Carena","email":"","middleInitial":"J.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":467650,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"von Ruschkowski, Eick","contributorId":25025,"corporation":false,"usgs":true,"family":"von Ruschkowski","given":"Eick","email":"","affiliations":[],"preferred":false,"id":467649,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schwarzbach, Steven E. steven_schwarzbach@usgs.gov","contributorId":1025,"corporation":false,"usgs":true,"family":"Schwarzbach","given":"Steven","email":"steven_schwarzbach@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":467648,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Galipeau, Russell E.","contributorId":93314,"corporation":false,"usgs":true,"family":"Galipeau","given":"Russell","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467654,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70040061,"text":"70040061 - 2012 - Plant species richness and ecosystem multifunctionality in global drylands","interactions":[],"lastModifiedDate":"2012-10-01T17:02:55","indexId":"70040061","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Plant species richness and ecosystem multifunctionality in global drylands","docAbstract":"Experiments suggest that biodiversity enhances the ability of ecosystems to maintain multiple functions, such as carbon storage, productivity, and the buildup of nutrient pools (multifunctionality). However, the relationship between biodiversity and multifunctionality has never been assessed globally in natural ecosystems. We report here on a global empirical study relating plant species richness and abiotic factors to multifunctionality in drylands, which collectively cover 41% of Earth's land surface and support over 38% of the human population. Multifunctionality was positively and significantly related to species richness. The best-fitting models accounted for over 55% of the variation in multifunctionality and always included species richness as a predictor variable. Our results suggest that the preservation of plant biodiversity is crucial to buffer negative effects of climate change and desertification in drylands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AAAS","publisherLocation":"Washington, D.C.","doi":"10.1126/science.1215442","usgsCitation":"Maestre, F.T., Quero, J.L., Gotelli, N., Escudero, A., Ochoa, V., Delgado-Baquerizo, M., Garcia-Gomez, M., Bowker, M.A., Soliveres, S., Escolar, C., Garcia-Palacios, P., Berdugo, M., Valencia, E., Gozalo, B., Gallardo, A., Aguilera, L., Arredondo, T., Blones, J., Boeken, B., Bran, D., Conceicao, A.A., Cabrera, O., Chaieb, M., Derak, M., Eldridge, D., Espinosa, C.I., Florentino, A., Gaitan, J., Gatica, M.G., Ghiloufi, W., Gomez-Gonzalez, S., Gutie, J.R., Hernandez, R., Huang, X., Huber-Sannwald, E., Jankju, M., Miriti, M., Monerris, J., Mau, R.L., Morici, E., Naseri, K., Ospina, A., Polo, V., Prina, A., Pucheta, E., Ramirez-Collantes, D.A., Romao, R., Tighe, M., Torres-Diaz, C., Val, J., Veiga, J.P., Wang, D., and Zaady, E., 2012, Plant species richness and ecosystem multifunctionality in global drylands: Science, v. 335, no. 6065, p. 214-218, https://doi.org/10.1126/science.1215442.","productDescription":"5 p.","startPage":"214","endPage":"218","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":474340,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://dspace.utpl.edu.ec/handle/123456789/19271","text":"External Repository"},{"id":262166,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262164,"rank":9999,"type":{"id":10,"text":"Digital Object 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,{"id":70040060,"text":"70040060 - 2012 - Detection of tamarisk defoliation by the northern tamarisk beetle based on multitemporal Landsat 5 thematic mapper imagery","interactions":[],"lastModifiedDate":"2017-11-25T13:49:53","indexId":"70040060","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Detection of tamarisk defoliation by the northern tamarisk beetle based on multitemporal Landsat 5 thematic mapper imagery","docAbstract":"The spread of tamarisk (Tamarix spp., also known as saltcedar) is a significant ecological disturbance in western North America and has long been targeted for control, leading to the importation of the northern tamarisk beetle (Diorhabda carinulata) as a biological control agent. Following its initial release along the Colorado River near Moab, Utah in 2004, the beetle has successfully established and defoliated tamarisk across much of the upper Colorado River Basin. However, the spatial distribution and seasonal timing of defoliation are complex and difficult to quantify over large areas. To address this challenge, we tested and compared two remote sensing approaches to mapping tamarisk defoliation: Disturbance Index (DI) and a decision tree method called Random Forest (RF). Based on multitemporal Landsat 5 TM imagery for 2006-2010, changes in DI and defoliation probability from RF were calculated to detect tamarisk defoliation along the banks of Green, Colorado, Dolores and San Juan rivers within the Colorado Plateau area. Defoliation mapping accuracy was assessed based on field surveys partitioned into 10 km sections of river and on regions of interest created for continuous riparian vegetation. The DI method detected 3711 ha of defoliated area in 2007, 7350 ha in 2008, 10,457 ha in 2009 and 5898 ha in 2010. The RF method detected much smaller areas of defoliation but proved to have higher accuracy, as demonstrated by accuracy assessment and sensitivity analysis, with 784 ha in 2007, 960 ha in 2008, 934 ha in 2009, and 1008 ha in 2010. Results indicate that remote sensing approaches are likely to be useful for studying spatiotemporal patterns of tamarisk defoliation as the tamarisk leaf beetle spreads throughout the western United States.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GIScience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Bellwether Publishing, Ltd.","publisherLocation":"Columbia, MD","doi":"10.2747/1548-1603.49.4.510","usgsCitation":"Meng, R., Dennison, P.E., Jamison, L., van Riper, C., Nager, P., Hultine, K.R., Bean, D., and Dudley, T., 2012, Detection of tamarisk defoliation by the northern tamarisk beetle based on multitemporal Landsat 5 thematic mapper imagery: GIScience and Remote Sensing, v. 49, no. 4, p. 510-537, https://doi.org/10.2747/1548-1603.49.4.510.","productDescription":"28 p.","startPage":"510","endPage":"537","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":474343,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2747/1548-1603.49.4.510","text":"Publisher Index Page"},{"id":262152,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262146,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2747/1548-1603.49.4.510"}],"country":"United States","volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"5066250fe4b053bff18e1bef","contributors":{"authors":[{"text":"Meng, Ran","contributorId":105955,"corporation":false,"usgs":true,"family":"Meng","given":"Ran","email":"","affiliations":[],"preferred":false,"id":467592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennison, Philip E.","contributorId":105132,"corporation":false,"usgs":true,"family":"Dennison","given":"Philip","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jamison, Levi R.","contributorId":45163,"corporation":false,"usgs":true,"family":"Jamison","given":"Levi R.","affiliations":[],"preferred":false,"id":467587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":467590,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nager, Pamela","contributorId":11046,"corporation":false,"usgs":true,"family":"Nager","given":"Pamela","email":"","affiliations":[],"preferred":false,"id":467585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hultine, Kevin R. 0000-0001-9747-6037","orcid":"https://orcid.org/0000-0001-9747-6037","contributorId":23772,"corporation":false,"usgs":true,"family":"Hultine","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":467586,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bean, Dan W.","contributorId":58133,"corporation":false,"usgs":true,"family":"Bean","given":"Dan W.","affiliations":[],"preferred":false,"id":467588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dudley, Tom","contributorId":64496,"corporation":false,"usgs":true,"family":"Dudley","given":"Tom","affiliations":[],"preferred":false,"id":467589,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70156799,"text":"70156799 - 2012 - Directivity models produced for the Next Generation Attenuation West 2 (NGA-West 2) project","interactions":[],"lastModifiedDate":"2021-10-22T14:11:46.851003","indexId":"70156799","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Directivity models produced for the Next Generation Attenuation West 2 (NGA-West 2) project","docAbstract":"<p><span>Five new directivity models are being developed for the NGA-West 2 project. All are based on the NGA-West 2 data base, which is considerably expanded from the original NGA-West data base, containing about 3,000 more records from earthquakes having finite-fault rupture models. All of the new directivity models have parameters based on fault dimension in km, not normalized fault dimension. This feature removes a peculiarity of previous models which made them inappropriate for modeling large magnitude events on long strike-slip faults. Two models are explicitly, and one is implicitly, 'narrowband' models, in which the effect of directivity does not monotonically increase with spectral period but instead peaks at a specific period that is a function of earthquake magnitude. These narrowband models' functional forms are capable of simulating directivity over a wider range of earthquake magnitude than previous models. The functional forms of the five models are presented.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 15th World Conference on Earthquake Engineering, Portugal, 2012","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"15th World Conference on Earthquake Engineering","conferenceDate":"September 24-28, 2012","conferenceLocation":"Lisbon, Portugal","language":"English","publisher":"International Association for Earthquake Engineering","usgsCitation":"Spudich, P.A., Watson-Lamprey, J., Somerville, P.G., Bayless, J., Shahi, S., Baker, J., Rowshandel, B., and Chiou, B., 2012, Directivity models produced for the Next Generation Attenuation West 2 (NGA-West 2) project, <i>in</i> Proceedings of the 15th World Conference on Earthquake Engineering, Portugal, 2012, Lisbon, Portugal, September 24-28, 2012, 9 p.","productDescription":"9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037616","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":307669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307668,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.iitk.ac.in/nicee/wcee/fifteenth_conf_purtgal/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e1862fe4b05561fa206aa9","contributors":{"authors":[{"text":"Spudich, Paul A. 0000-0002-9484-4997 spudich@usgs.gov","orcid":"https://orcid.org/0000-0002-9484-4997","contributorId":2372,"corporation":false,"usgs":true,"family":"Spudich","given":"Paul","email":"spudich@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":570582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watson-Lamprey, Jennie","contributorId":15000,"corporation":false,"usgs":false,"family":"Watson-Lamprey","given":"Jennie","email":"","affiliations":[],"preferred":false,"id":570583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Somerville, Paul G.","contributorId":47392,"corporation":false,"usgs":true,"family":"Somerville","given":"Paul","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":570584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bayless, Jeff","contributorId":147164,"corporation":false,"usgs":false,"family":"Bayless","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":570585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shahi, Shrey","contributorId":140542,"corporation":false,"usgs":false,"family":"Shahi","given":"Shrey","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":570586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baker, Jack W.","contributorId":62113,"corporation":false,"usgs":false,"family":"Baker","given":"Jack W.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":570587,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rowshandel, Badie","contributorId":140541,"corporation":false,"usgs":false,"family":"Rowshandel","given":"Badie","email":"","affiliations":[],"preferred":false,"id":570588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chiou, Brian","contributorId":139219,"corporation":false,"usgs":false,"family":"Chiou","given":"Brian","affiliations":[],"preferred":false,"id":570589,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70040100,"text":"70040100 - 2012 - Optimal egg size in a suboptimal environment: reproductive ecology of female Sonora mud turtles (Kinosternon sonoriense) in central Arizona, USA","interactions":[],"lastModifiedDate":"2012-09-28T17:16:18","indexId":"70040100","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":751,"text":"Amphibia-Reptilia","active":true,"publicationSubtype":{"id":10}},"title":"Optimal egg size in a suboptimal environment: reproductive ecology of female Sonora mud turtles (Kinosternon sonoriense) in central Arizona, USA","docAbstract":"We studied the reproductive ecology of female Sonora mud turtles (Kinosternon sonoriense) at Montezuma Well, a chemically-challenging natural wetland in central Arizona, USA. Females matured between 115.5 and 125 mm carapace length (CL) and 36-54% produced eggs each year. Eggs were detected in X-radiographs from 23 April-28 September (2007-2008) and the highest proportion (56%) of adult females with eggs occurred in June and July. Clutch frequency was rarely more than once per year. Clutch size was weakly correlated with body size, ranged from 1-8 (mean = 4.96) and did not differ significantly between years. X-ray egg width ranged from 17.8-21.7 mm (mean 19.4 mm) and varied more among clutches than within. Mean X-ray egg width of a clutch did not vary significantly with CL of females, although X-ray pelvic aperture width increased with CL. We observed no evidence of a morphological constraint on egg width. In addition, greater variation in clutch size, relative to egg width, suggests that egg size is optimized in this hydrologically stable but chemically-challenging habitat. We suggest that the diversity of architectures exhibited by the turtle pelvis, and their associated lack of correspondence to taxonomic or behavioral groupings, explains some of the variation observed in egg size of turtles.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Amphibia-Reptilia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Brill","publisherLocation":"Leiden, The Netherlands","doi":"10.1163/156853812X634035","usgsCitation":"Lovich, J.E., Madrak, S.V., Drost, C.A., Monatesti, A.J., Casper, D., and Znari, M., 2012, Optimal egg size in a suboptimal environment: reproductive ecology of female Sonora mud turtles (Kinosternon sonoriense) in central Arizona, USA: Amphibia-Reptilia, v. 33, p. 161-170, https://doi.org/10.1163/156853812X634035.","productDescription":"10 p.","startPage":"161","endPage":"170","numberOfPages":"10","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":474341,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1163/156853812x634035","text":"Publisher Index Page"},{"id":262153,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262147,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1163/156853812X634035"}],"country":"United States","state":"Arizona","volume":"33","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662512e4b053bff18e1c01","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":467709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madrak, Sheila V.","contributorId":7403,"corporation":false,"usgs":true,"family":"Madrak","given":"Sheila","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":467711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":467710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monatesti, Anthony J.","contributorId":103541,"corporation":false,"usgs":true,"family":"Monatesti","given":"Anthony","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467714,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casper, Dennis","contributorId":65346,"corporation":false,"usgs":true,"family":"Casper","given":"Dennis","email":"","affiliations":[],"preferred":false,"id":467713,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Znari, Mohammed","contributorId":42472,"corporation":false,"usgs":true,"family":"Znari","given":"Mohammed","email":"","affiliations":[],"preferred":false,"id":467712,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70040106,"text":"70040106 - 2012 - Changes in sources and storage in a karst aquifer during a transition from drought to wet conditions","interactions":[],"lastModifiedDate":"2012-10-09T17:16:16","indexId":"70040106","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Changes in sources and storage in a karst aquifer during a transition from drought to wet conditions","docAbstract":"Understanding the sources and processes that control groundwater compositions and the timing and magnitude of groundwater vulnerability to potential surface-water contamination under varying meteorologic conditions is critical to informing groundwater protection policies and practices. This is especially true in karst terrains, where infiltrating surface water can rapidly affect groundwater quality. We analyzed the evolution of groundwater compositions (major ions and Sr isotopes) during the transition from extreme drought to wetconditions, and used inverse geochemical modeling (PHREEQC) to constrain controls on groundwater compositions during this evolution. Spring water and groundwater from two wells dominantly receiving diffuse and conduit flow (termed diffuse site and conduit site, respectively) in the Barton Springs segment of the Edwards aquifer (central Texas, USA) and surface water from losing streams that recharge the aquifer were sampled every 3&ndash;4 weeks during November 2008&ndash;March 2010. During this period, water compositions at the spring and conduit sites changed rapidly but there was no change at the diffuse site, illustrating the dual nature (i.e., diffuse vs. conduit) of flow in this karst system. Geochemical modeling demonstrated that, within a month of the onset of wetconditions, the majority of spring water and groundwater at the conduit site was composed of surface water, providing quantitative information on the timing and magnitude of the vulnerability of groundwater to potential surface-water contamination. The temporal pattern of increasing spring discharge and changing pattern of covariation between spring discharge and surface-water (steam) recharge indicates that that there were two modes of aquifer response&mdash;one with a small amount of storage and a second that accommodates more storage.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jhydrol.2012.08.030","usgsCitation":"Wong, C., Mahler, B., Musgrove, M., and Banner, J., 2012, Changes in sources and storage in a karst aquifer during a transition from drought to wet conditions: Journal of Hydrology, v. 468-469, p. 159-172, https://doi.org/10.1016/j.jhydrol.2012.08.030.","productDescription":"14 p.","startPage":"159","endPage":"172","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":262168,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262165,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2012.08.030"}],"country":"United States","state":"Texas","volume":"468-469","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5066250ce4b053bff18e1be3","contributors":{"authors":[{"text":"Wong, C.I.","contributorId":98574,"corporation":false,"usgs":true,"family":"Wong","given":"C.I.","email":"","affiliations":[],"preferred":false,"id":467729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahler, B.J.","contributorId":36888,"corporation":false,"usgs":true,"family":"Mahler","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":467726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Musgrove, M.","contributorId":78933,"corporation":false,"usgs":true,"family":"Musgrove","given":"M.","email":"","affiliations":[],"preferred":false,"id":467727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banner, J.L.","contributorId":95683,"corporation":false,"usgs":true,"family":"Banner","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":467728,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040058,"text":"70040058 - 2012 - Toxicity of copper to early-life stage Kootenai River white sturgeon, Columbia River white sturgeon, and rainbow trout","interactions":[],"lastModifiedDate":"2016-12-31T12:24:42","indexId":"70040058","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of copper to early-life stage Kootenai River white sturgeon, Columbia River white sturgeon, and rainbow trout","docAbstract":"White sturgeon (<i>Acipenser transmontanus</i>) populations throughout western North America are in decline, likely as a result of overharvest, operation of dams, and agricultural and mineral extraction activities in their watersheds. Recruitment failure may reflect the loss of early-life stage fish in spawning areas of the upper Columbia River, which are contaminated with metals from effluents associated with mineral-extraction activities. Early-life stage white sturgeon (<i>A. transmontanus</i>) from the Columbia River and Kootenai River populations were exposed to copper during 96-h flow-through toxicity tests to determine their sensitivity to the metal. Similar tests were conducted with rainbow trout (RBT [<i>Oncorhynchus mykiss</i>]) to assess the comparative sensitivity of this species as a surrogate for white sturgeon. Exposures were conducted with a water quality pH 8.1-8.3, hardness 81-119 mg/L as CaCO<sub>2</sub>, and dissolved organic carbon 0.2-0.4 mg/L. At approximately 30 days posthatch (dph), sturgeon were highly sensitive to copper with median lethal concentration (LC<sub>50</sub>) values ranging from 4.1 to 6.8 &mu;g/L compared with 36.5 &mu;g/L for 30 dph RBT. White sturgeon at 123-167 dph were less sensitive to copper with LC<sub>50</sub> values ranging from 103.7 to 268.9 &mu;g/L. RBT trout, however, remained more sensitive to copper at 160 dph with an LC<sub>50</sub> value of 30.9 &mu;g/L. The results indicate that high sensitivity to copper in early-life stage white sturgeon may be a factor in recruitment failure occurring in the upper Columbia and Kootenai rivers. When site-specific water-quality criteria were estimated using the biotic ligand model (BLM), derived values were not protective of early-life stage fish, nor were estimates derived by water-hardness adjustment.","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00244-012-9782-3","usgsCitation":"Little, E.E., Calfee, R., and Linder, G., 2012, Toxicity of copper to early-life stage Kootenai River white sturgeon, Columbia River white sturgeon, and rainbow trout: Archives of Environmental Contamination and Toxicology, v. 63, no. 3, p. 400-408, https://doi.org/10.1007/s00244-012-9782-3.","productDescription":"9 p.","startPage":"400","endPage":"408","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":262156,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-08-14","publicationStatus":"PW","scienceBaseUri":"50662515e4b053bff18e1c13","contributors":{"authors":[{"text":"Little, E. E.","contributorId":13187,"corporation":false,"usgs":true,"family":"Little","given":"E.","email":"","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":467582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calfee, R.D.","contributorId":85130,"corporation":false,"usgs":true,"family":"Calfee","given":"R.D.","affiliations":[],"preferred":false,"id":467584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Linder, G.","contributorId":43070,"corporation":false,"usgs":true,"family":"Linder","given":"G.","email":"","affiliations":[],"preferred":false,"id":467583,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040069,"text":"70040069 - 2012 - Relations between retired agricultural land, water quality, and aquatic-community health, Minnesota River Basin","interactions":[],"lastModifiedDate":"2012-10-03T17:16:15","indexId":"70040069","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Relations between retired agricultural land, water quality, and aquatic-community health, Minnesota River Basin","docAbstract":"The relative importance of agricultural land retirement on water quality and aquatic-community health was investigated in the Minnesota River Basin. Eighty-two sites, with drainage areas ranging from 4.3 to 2200 km<sup>2</sup>, were examined for nutrient concentrations, measures of aquatic-community health (e.g., fish index of biotic integrity [IBI] scores), and environmental factors (e.g., drainage area and amount of agricultural land retirement). The relation of proximity of agricultural land retirement to the stream was determined by calculating the land retirement percent in various riparian zones. Spearman's rho results indicated that IBI score was not correlated to the percentage of agricultural land retirement at the basin scale (<i>p</i> = 0.070); however, IBI score was correlated to retired land percentage in the 50- to 400-m riparian zones surrounding the streams (<i>p</i> < 0.05), indicating that riparian agricultural land retirement may have more influence on aquatic-community health than does agricultural land retirement in upland areas. Multivariate analysis of covariance and analysis of covariance models indicated that other environmental factors (such as drainage area and lacustrine and palustrine features) commonly were correlated to aquatic-community health measures, as were in-stream factors (standard deviation of water depth and substrate type). These results indicate that although agricultural land retirement is significantly related to fish communities as measured by the IBI scores, a combination of basin, riparian, and in-stream factors act together to influence IBI scores.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Agronomy","publisherLocation":"Madison, WI","doi":"10.2134/jeq2011.0468","usgsCitation":"Christensen, V.G., Lee, K., McLees, J.M., and Niemela, S.L., 2012, Relations between retired agricultural land, water quality, and aquatic-community health, Minnesota River Basin: Journal of Environmental Quality, v. 41, no. 5, p. 1459-1472, https://doi.org/10.2134/jeq2011.0468.","productDescription":"14 p.","startPage":"1459","endPage":"1472","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":262169,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262161,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2011.0468"}],"country":"United States","state":"Minnesota","otherGeospatial":"Minnesota River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.9,43.5 ], [ -96.9,46.25 ], [ -93.1,46.25 ], [ -93.1,43.5 ], [ -96.9,43.5 ] ] ] } } ] }","volume":"41","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662514e4b053bff18e1c07","contributors":{"authors":[{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":467669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McLees, James M.","contributorId":21406,"corporation":false,"usgs":true,"family":"McLees","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":467670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niemela, Scott L.","contributorId":64936,"corporation":false,"usgs":true,"family":"Niemela","given":"Scott","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":467671,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040105,"text":"ofr20121213 - 2012 - Toxicity, sublethal effects, and potential modes of action of select fungicides on freshwater fish and invertebrates","interactions":[],"lastModifiedDate":"2024-03-04T18:34:47.127959","indexId":"ofr20121213","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1213","title":"Toxicity, sublethal effects, and potential modes of action of select fungicides on freshwater fish and invertebrates","docAbstract":"<p><span>Despite decades of agricultural and urban use of fungicides and widespread detection of these pesticides in surface waters, relatively few data are available on the effects of fungicides on fish and invertebrates in the aquatic environment. Nine fungicides are reviewed in this report: azoxystrobin, boscalid, chlorothalonil, fludioxonil, myclobutanil, fenarimol, pyraclostrobin, pyrimethanil, and zoxamide. These fungicides were identified as emerging chemicals of concern because of their high or increasing global use rates, detection frequency in surface waters, or likely persistence in the environment. A review of the literature revealed significant sublethal effects of fungicides on fish, aquatic invertebrates, and ecosystems, including zooplankton and fish reproduction, fish immune function, zooplankton community composition, metabolic enzymes, and ecosystem processes, such as leaf decomposition in streams, among other biological effects. Some of these effects can occur at fungicide concentrations well below single-species acute lethality values (48- or 96-hour concentration that effects a response in 50 percent of the organisms, that is, effective concentration killing 50 percent of the organisms in 48 or 96 hours) and chronic sublethal values (for example, 21-day no observed adverse effects concentration), indicating that single-species toxicity values may dramatically underestimate the toxic potency of some fungicides. Fungicide modes of toxic action in fungi can sometimes reflect the biochemical and (or) physiological effects of fungicides observed in vertebrates and invertebrates; however, far more studies are needed to explore the potential to predict effects in nontarget organisms based on specific fungicide modes of toxic action. Fungicides can also have additive and (or) synergistic effects when used with other fungicides and insecticides, highlighting the need to study pesticide mixtures that occur in surface waters. For fungicides that partition to organic matter in sediment and soils, it is particularly important to determine their effects on freshwater mussels and other freshwater benthic invertebrates in contact with sediments, as available toxicity studies with pelagic species, mainly&nbsp;</span><i>Daphnia magna</i><span>, may not be representative of these benthic organisms. Finally, there is a critical need for studies of the chronic effects of fungicides on reproduction, immunocompetence, and ecosystem function; sublethal endpoints with population and community-level relevance.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121213","usgsCitation":"Elskus, A.A., 2012, Toxicity, sublethal effects, and potential modes of action of select fungicides on freshwater fish and invertebrates (Version 1.0: September 27, 2012; Version 1,1: November 25, 2014): U.S. Geological Survey Open-File Report 2012-1213, vii, 42 p., https://doi.org/10.3133/ofr20121213.","productDescription":"vii, 42 p.","numberOfPages":"49","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-040603","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":262163,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1213/","linkFileType":{"id":5,"text":"html"}},{"id":262162,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1213/pdf/ofr2012-1213.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262167,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121213.jpg"}],"edition":"Version 1.0: September 27, 2012; Version 1,1: November 25, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662516e4b053bff18e1c16","contributors":{"authors":[{"text":"Elskus, Adria A.","contributorId":14521,"corporation":false,"usgs":true,"family":"Elskus","given":"Adria","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":467725,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040093,"text":"sir20125202 - 2012 - Estimation of evaporation from open water - A review of selected studies, summary of U.S. Army Corps of Engineers data collection and methods, and evaluation of two methods for estimation of evaporation from five reservoirs in Texas","interactions":[],"lastModifiedDate":"2016-08-08T08:24:42","indexId":"sir20125202","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5202","title":"Estimation of evaporation from open water - A review of selected studies, summary of U.S. Army Corps of Engineers data collection and methods, and evaluation of two methods for estimation of evaporation from five reservoirs in Texas","docAbstract":"<p>Organizations responsible for the management of water resources, such as the U.S. Army Corps of Engineers (USACE), are tasked with estimation of evaporation for water-budgeting and planning purposes. The USACE has historically used Class A pan evaporation data (pan data) to estimate evaporation from reservoirs but many USACE Districts have been experimenting with other techniques for an alternative to collecting pan data. The energy-budget method generally is considered the preferred method for accurate estimation of open-water evaporation from lakes and reservoirs. Complex equations to estimate evaporation, such as the Penman, DeBruin-Keijman, and Priestley-Taylor, perform well when compared with energy-budget method estimates when all of the important energy terms are included in the equations and ideal data are collected. However, sometimes nonideal data are collected and energy terms, such as the change in the amount of stored energy and advected energy, are not included in the equations. When this is done, the corresponding errors in evaporation estimates are not quantifiable. Much simpler methods, such as the Hamon method and a method developed by the U.S. Weather Bureau (USWB) (renamed the National Weather Service in 1970), have been shown to provide reasonable estimates of evaporation when compared to energy-budget method estimates. Data requirements for the Hamon and USWB methods are minimal and sometimes perform well with remotely collected data. The Hamon method requires average daily air temperature, and the USWB method requires daily averages of air temperature, relative humidity, wind speed, and solar radiation. Estimates of annual lake evaporation from pan data are frequently within 20 percent of energy-budget method estimates. Results of evaporation estimates from the Hamon method and the USWB method were compared against historical pan data at five selected reservoirs in Texas (Benbrook Lake, Canyon Lake, Granger Lake, Hords Creek Lake, and Sam Rayburn Lake) to evaluate their performance and to develop coefficients to minimize bias for the purpose of estimating reservoir evaporation with accuracies similar to estimates of evaporation obtained from pan data. The modified Hamon method estimates of reservoir evaporation were similar to estimates of reservoir evaporation from pan data for daily, monthly, and annual time periods. The modified Hamon method estimates of annual reservoir evaporation were always within 20 percent of annual reservoir evaporation from pan data. Unmodified and modified USWB method estimates of annual reservoir evaporation were within 20 percent of annual reservoir evaporation from pan data for about 91 percent of the years compared. Average daily differences between modified USWB method estimates and estimates from pan data as a percentage of the average amount of daily evaporation from pan data were within 20 percent for 98 percent of the months. Without any modification to the USWB method, average daily differences as a percentage of the average amount of daily evaporation from pan data were within 20 percent for 73 percent of the months. Use of the unmodified USWB method is appealing because it means estimates of average daily reservoir evaporation can be made from air temperature, relative humidity, wind speed, and solar radiation data collected from remote weather stations without the need to develop site-specific coefficients from historical pan data. Site-specific coefficients would need to be developed for the modified version of the Hamon method.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125202","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Fort Worth District","usgsCitation":"Harwell, G.R., 2012, Estimation of evaporation from open water - A review of selected studies, summary of U.S. Army Corps of Engineers data collection and methods, and evaluation of two methods for estimation of evaporation from five reservoirs in Texas: U.S. Geological Survey Scientific Investigations Report 2012-5202, vii, 96 p., https://doi.org/10.3133/sir20125202.","productDescription":"vii, 96 p.","numberOfPages":"107","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":262142,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5202.gif"},{"id":262140,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5202/pdf/sir2012-5202.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262139,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5202/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal Area","datum":"North American Datum of 1983","country":"United States","state":"Texas","city":"Austin, Dallas, Fort Worth, Houston, San Angelo, San Antonio, Waco","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.83333333333333,29 ], [ -100.83333333333333,34.333333333333336 ], [ -93.33333333333333,34.333333333333336 ], [ -93.33333333333333,29 ], [ -100.83333333333333,29 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662510e4b053bff18e1bf5","contributors":{"authors":[{"text":"Harwell, Glenn R. gharwell@usgs.gov","contributorId":3789,"corporation":false,"usgs":true,"family":"Harwell","given":"Glenn","email":"gharwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467703,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040074,"text":"70040074 - 2012 - Inferring local competition intensity from patch size distributions: a test using biological soil crusts","interactions":[],"lastModifiedDate":"2012-11-02T16:23:25","indexId":"70040074","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Inferring local competition intensity from patch size distributions: a test using biological soil crusts","docAbstract":"Dryland vegetation is inherently patchy. This patchiness goes on to impact ecology, hydrology, and biogeochemistry. Recently, researchers have proposed that dryland vegetation patch sizes follow a power law which is due to local plant facilitation. It is unknown what patch size distribution prevails when competition predominates over facilitation, or if such a pattern could be used to detect competition. We investigated this question in an alternative vegetation type, mosses and lichens of biological soil crusts, which exhibit a smaller scale patch-interpatch configuration. This micro-vegetation is characterized by competition for space. We proposed that multiplicative effects of genetics, environment and competition should result in a log-normal patch size distribution. When testing the prevalence of log-normal versus power law patch size distributions, we found that the log-normal was the better distribution in 53% of cases and a reasonable fit in 83%. In contrast, the power law was better in 39% of cases, and in 8% of instances both distributions fit equally well. We further hypothesized that the log-normal distribution parameters would be predictably influenced by competition strength. There was qualitative agreement between one of the distribution's parameters (&mu;) and a novel intransitive (lacking a 'best' competitor) competition index, suggesting that as intransitivity increases, patch sizes decrease. The correlation of &mu; with other competition indicators based on spatial segregation of species (the C-score) depended on aridity. In less arid sites, &mu; was negatively correlated with the C-score (suggesting smaller patches under stronger competition), while positive correlations (suggesting larger patches under stronger competition) were observed at more arid sites. We propose that this is due to an increasing prevalence of competition transitivity as aridity increases. These findings broaden the emerging theory surrounding dryland patch size distributions and, with refinement, may help us infer cryptic ecological processes from easily observed spatial patterns in the field.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oikos","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","usgsCitation":"Bowker, M.A., and Maestre, F.T., 2012, Inferring local competition intensity from patch size distributions: a test using biological soil crusts: Oikos, v. 121, no. 11, p. 1914-1922.","productDescription":"9 p.","startPage":"1914","endPage":"1922","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":262158,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662511e4b053bff18e1bfb","contributors":{"authors":[{"text":"Bowker, Matthew A. mbowker@usgs.gov","contributorId":2875,"corporation":false,"usgs":true,"family":"Bowker","given":"Matthew","email":"mbowker@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":467677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maestre, Fernando T.","contributorId":62450,"corporation":false,"usgs":true,"family":"Maestre","given":"Fernando","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":467678,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044219,"text":"70044219 - 2012 - Survey of roadside alien plants in Hawai`i Volcanoes National Park and adjacent residential areas 2001-2005","interactions":[],"lastModifiedDate":"2018-01-05T12:40:28","indexId":"70044219","displayToPublicDate":"2012-09-27T18:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-032","title":"Survey of roadside alien plants in Hawai`i Volcanoes National Park and adjacent residential areas 2001-2005","docAbstract":"<p>The sides of all paved roads of Hawai`i Volcanoes National Park (HAVO) were surveyed on foot in 2001 to 2005, and the roadside presence of 240 target invasive and potentially invasive alien plant species was recorded in mile-long increments. Buffer zones 5&ndash;10 miles (8&ndash;16 km) long along Highway 11 on either side of the Kīlauea and Kahuku Units of the park, as well as Wright Road that passed by the disjunct `Ōla`a Tract Unit, were included in the survey. Highway 11 is the primary road through the park and a major island thoroughfare. Three residential subdivisions adjacent to the park were similarly surveyed in 0.5&ndash;1 mile (0.8&ndash;1.6 km) intervals in 2003, and data were analyzed separately. Two roads to the east and northeast were also surveyed, but data from these disjunct areas were analyzed separately from park roads. In total, 174 of the target alien species were observed along HAVO roads and buffers, exclusive of residential areas, and the mean number of target aliens per mile surveyed was 20.6. Highway 11 and its buffer zones had the highest mean number of target alien plants per mile (26.7) of all park roads, and the Mauna Loa Strip Road had the lowest mean (11.7). Segments of Highway 11 adjacent to HAVO and Wright Road next to `Ōla`a Tract had mean numbers of target alien per mile (24&ndash;47) higher than those of any internal road. Alien plant frequencies were summarized for each road in HAVO. Fifteen new records of vascular plants for HAVO were observed and collected along park roads. An additional 28 alien plant species not known from HAVO were observed along the buffer segments of Highway 11 adjacent to the park. Within the adjacent residential subdivisions, 65 target alien plant species were sighted along roadsides. At least 15 potentially invasive species not currently found within HAVO were observed along residential roads, and several other species found there have been previously eliminated from the park or controlled to remnant populations. Data collected from this survey can be used by the park and other landowners to help detect and manage invasive plant species that threaten the natural resources of their lands, and survey findings will inform managers of threats from alien species established along corridors beyond park boundaries. Recommendations were made for refining the list of incipient invasive plant species to search for near the park and for the repetition of periodic roadside weed surveys in the park.</p>","publisher":"University of Hawai'i at Hilo","publisherLocation":"Hilo, HI","usgsCitation":"Bio, K.F., Pratt, L.W., and Jacobi, J.D., 2012, Survey of roadside alien plants in Hawai`i Volcanoes National Park and adjacent residential areas 2001-2005: Technical Report HCSU-032, iv, 67.","productDescription":"iv, 67","numberOfPages":"73","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037461","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":326360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ac50e7e4b0d1835674b32f","contributors":{"authors":[{"text":"Bio, Keali’i F.","contributorId":79371,"corporation":false,"usgs":true,"family":"Bio","given":"Keali’i","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":517241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pratt, Linda W. lpratt@usgs.gov","contributorId":3708,"corporation":false,"usgs":true,"family":"Pratt","given":"Linda","email":"lpratt@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":644951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":644952,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040067,"text":"ofr20121201 - 2012 - Geophysical investigation of sentinel lakes in Lake, Seminole, Orange, and Volusia Counties, Florida","interactions":[],"lastModifiedDate":"2012-09-27T17:16:16","indexId":"ofr20121201","displayToPublicDate":"2012-09-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1201","title":"Geophysical investigation of sentinel lakes in Lake, Seminole, Orange, and Volusia Counties, Florida","docAbstract":"This study was initiated in cooperation with the St. Johns River Water Management District (SJRWMD) to investigate groundwater and surface-water interaction in designated sentinel lakes in central Florida. Sentinel lakes are a SJRWMD established set of priority water bodies (lakes) for which minimum flows and levels (MFLs) are determined. Understanding both the structure and lithology beneath these lakes can ultimately lead to a better understanding of the MFLs and why water levels fluctuate in certain lakes more so than in other lakes. These sentinel lakes have become important water bodies to use as water-fluctuation indicators in the SJRWMD Minimum Flows and Levels program and will be used to define long-term hydrologic and ecologic performance measures. Geologic control on lake hydrology remains poorly understood in this study area. Therefore, the U.S. Geological Survey investigated 16 of the 21 water bodies on the SJRWMD priority list. Geologic information was obtained by the tandem use of high-resolution seismic profiling (HRSP) and direct-current (DC) resistivity profiling to isolate both the geologic framework (structure) and composition (lithology). Previous HRSP surveys from various lakes in the study area have been successful in identifying karst features, such as subsidence sinkholes. However, by using this method only, it is difficult to image highly irregular or chaotic surfaces, such as collapse sinkholes. Resistivity profiling was used to complement HRSP by detecting porosity change within fractured or collapsed structures and increase the ability to fully characterize the subsurface. Lake Saunders (Lake County) is an example of a lake composed of a series of north-south-trending sinkholes that have joined to form one lake body. HRSP shows surface depressions and deformation in the substrate. Resistivity data likewise show areas in the southern part of the lake where resistivity shifts abruptly from approximately 400 ohm meters (ohm-m) along the edges to approximately 12 ohm-m in the center. These well-defined areas may indicate a \"ravel\" zone of increased porosity or clay content. Within Lake Helen (Volusia County), a parallel set of seismic reflectors within a host of chaotic reflectors may represent fill within a large sinkhole. The feature extends to more than 50 meters (m) deep and contains very steep pinnacles within the center. Seismic data in Lake Helen are supported by high resistivity values from adjacent continuous resistivity profiles that show possible center collapse within the lake and infilling of sandy material. When used together, HRSP and DC resistivity techniques provide a composite image of structure and lithology to detect potential conduits for fluid flow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121201","collaboration":"Prepared in cooperation with the St. Johns River Water Management District","usgsCitation":"Reich, C., Flocks, J., and Davis, J., 2012, Geophysical investigation of sentinel lakes in Lake, Seminole, Orange, and Volusia Counties, Florida: U.S. Geological Survey Open-File Report 2012-1201, viii; 58 p.; PDF Appendix, https://doi.org/10.3133/ofr20121201.","productDescription":"viii; 58 p.; PDF Appendix","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":262119,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1201.gif"},{"id":262109,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1201/pdf/Reich_OFR2012_1201_appendix-sm.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262107,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1201/pdf/Reich_OFR2012_1201-sm.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262108,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1201/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","county":"Lake County;Marion County;Orange County;Seminole County;Sumter County;Volusia County","otherGeospatial":"Cherry Lake;Lake Louisa;Johns Lake;Lake Avalon;Lake Hiawassee;Crooked Lake;Prevatt Lake;Lake Saunders;Sylvan Lake;Trout Lake;Big Lake;Lake Colby;Lake Helen","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82,28.666666666666668 ], [ -82,29.25 ], [ -81,29.25 ], [ -81,28.666666666666668 ], [ -82,28.666666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662510e4b053bff18e1bf8","contributors":{"authors":[{"text":"Reich, Christopher","contributorId":12942,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":467665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James","contributorId":62266,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[],"preferred":false,"id":467667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Jeffrey","contributorId":20204,"corporation":false,"usgs":true,"family":"Davis","given":"Jeffrey","affiliations":[],"preferred":false,"id":467666,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040070,"text":"sir20125175 - 2012 - Method for estimating potential wetland extent by utilizing streamflow statistics and flood-inundation mapping techniques: Pilot study for land along the Wabash River near Terre Haute, Indiana","interactions":[],"lastModifiedDate":"2012-09-27T17:16:16","indexId":"sir20125175","displayToPublicDate":"2012-09-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5175","title":"Method for estimating potential wetland extent by utilizing streamflow statistics and flood-inundation mapping techniques: Pilot study for land along the Wabash River near Terre Haute, Indiana","docAbstract":"Potential wetland extents were estimated for a 14-mile reach of the Wabash River near Terre Haute, Indiana. This pilot study was completed by the U.S. Geological Survey in cooperation with the U.S. Department of Agriculture, Natural Resources Conservation Service (NRCS). The study showed that potential wetland extents can be estimated by analyzing streamflow statistics with the available streamgage data, calculating the approximate water-surface elevation along the river, and generating maps by use of flood-inundation mapping techniques. Planning successful restorations for Wetland Reserve Program (WRP) easements requires a determination of areas that show evidence of being in a zone prone to sustained or frequent flooding. Zone determinations of this type are used by WRP planners to define the actively inundated area and make decisions on restoration-practice installation. According to WRP planning guidelines, a site needs to show evidence of being in an \"inundation zone\" that is prone to sustained or frequent flooding for a period of 7 consecutive days at least once every 2 years on average in order to meet the planning criteria for determining a wetland for a restoration in agricultural land. By calculating the annual highest 7-consecutive-day mean discharge with a 2-year recurrence interval (7MQ2) at a streamgage on the basis of available streamflow data, one can determine the water-surface elevation corresponding to the calculated flow that defines the estimated inundation zone along the river. By using the estimated water-surface elevation (\"inundation elevation\") along the river, an approximate extent of potential wetland for a restoration in agricultural land can be mapped. As part of the pilot study, a set of maps representing the estimated potential wetland extents was generated in a geographic information system (GIS) application by combining (1) a digital water-surface plane representing the surface of inundation elevation that sloped in the downstream direction of flow and (2) land-surface elevation data. These map products from the pilot study will aid the NRCS and its partners with the onsite inundation-zone verification in agricultural land for a potential restoration and will assist in determining at what elevation to plant hardwood trees for increased survivability on ground above frequently flooded terraces.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125175","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture, Natural Resources Conservation Service","usgsCitation":"Kim, M.H., Ritz, C.T., and Arvin, D.V., 2012, Method for estimating potential wetland extent by utilizing streamflow statistics and flood-inundation mapping techniques: Pilot study for land along the Wabash River near Terre Haute, Indiana: U.S. Geological Survey Scientific Investigations Report 2012-5175, Report: vi, 15 p.; Figures A1-1, A1-2, A2-1, A2-2, A3-1, A3-2: 17 x 12 inches, https://doi.org/10.3133/sir20125175.","productDescription":"Report: vi, 15 p.; Figures A1-1, A1-2, A2-1, A2-2, A3-1, A3-2: 17 x 12 inches","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":262120,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5175.bmp"},{"id":262110,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5175/","linkFileType":{"id":5,"text":"html"}},{"id":262111,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5175/pdf/sir2012-5175_092012.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262112,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5175/pdf/figA1-1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262117,"rank":405,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5175/pdf/figA3-2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262113,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5175/pdf/figA1-2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262114,"rank":402,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5175/pdf/figA2-1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262115,"rank":403,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5175/pdf/figA2-2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262116,"rank":404,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5175/pdf/figA3-1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Indiana","city":"Terre Haute","otherGeospatial":"Wabash River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.5175,39.38333333333333 ], [ -87.5175,39.50083333333333 ], [ -87.36749999999999,39.50083333333333 ], [ -87.36749999999999,39.38333333333333 ], [ -87.5175,39.38333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662512e4b053bff18e1bfe","contributors":{"authors":[{"text":"Kim, Moon H. 0000-0002-4328-8409 mkim@usgs.gov","orcid":"https://orcid.org/0000-0002-4328-8409","contributorId":3211,"corporation":false,"usgs":true,"family":"Kim","given":"Moon","email":"mkim@usgs.gov","middleInitial":"H.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ritz, Christian T.","contributorId":46352,"corporation":false,"usgs":true,"family":"Ritz","given":"Christian","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":467674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arvin, Donald V. dvarvin@usgs.gov","contributorId":3210,"corporation":false,"usgs":true,"family":"Arvin","given":"Donald","email":"dvarvin@usgs.gov","middleInitial":"V.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467672,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040081,"text":"ofr20121099 - 2012 - Summary of oceanographic and water-quality measurements near the Blackwater National Wildlife Refuge, Maryland, 2011","interactions":[],"lastModifiedDate":"2012-10-08T17:16:12","indexId":"ofr20121099","displayToPublicDate":"2012-09-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1099","title":"Summary of oceanographic and water-quality measurements near the Blackwater National Wildlife Refuge, Maryland, 2011","docAbstract":"Suspended-sediment transport is a critical element governing the geomorphology of tidal marshes. Marshes rely on both organic material and inorganic sediment deposition to maintain their elevation relative to sea level. In wetlands near the Blackwater National Wildlife Refuge, Maryland, portions of the salt marsh have been subsiding relative to sea level since the early 20th century. Other portions of the marsh have been successful at maintaining elevation. The U.S. Geological Survey performed observational deployments to measure suspended-sediment concentration in the tidal channels in order to understand the magnitude of suspended-sediment concentrations, the sediment-transport mechanisms, and differences between two marsh areas, one that subsided and one that maintained elevation. We deployed optical turbidity sensors and acoustic velocity meters at multiple sites over two periods in 2011. This report presents the time-series of oceanographic data collected during those field studies, including velocity, depth, turbidity, salinity, water temperature, and pH.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121099","usgsCitation":"Ganju, N., Dickhudt, P., Montgomery, E., Brennand, P., Derby, R.K., Brooks, T.W., Guntenspergen, G.R., Martini, M.A., Borden, J., and Baldwin, S., 2012, Summary of oceanographic and water-quality measurements near the Blackwater National Wildlife Refuge, Maryland, 2011: U.S. Geological Survey Open-File Report 2012-1099, HTML Document, https://doi.org/10.3133/ofr20121099.","productDescription":"HTML Document","onlineOnly":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":262137,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1099.jpg"},{"id":262130,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1099/","linkFileType":{"id":5,"text":"html"}},{"id":262131,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1099/title_page.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Maryl","otherGeospatial":"Blackwater River;Transquaking River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.1,38.3 ], [ -76.1,38.4 ], [ -76,38.4 ], [ -76,38.3 ], [ -76.1,38.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662514e4b053bff18e1c0d","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":93543,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[],"preferred":false,"id":467697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dickhudt, Patrick J.","contributorId":48302,"corporation":false,"usgs":true,"family":"Dickhudt","given":"Patrick J.","affiliations":[],"preferred":false,"id":467693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montgomery, Ellyn T.","contributorId":78038,"corporation":false,"usgs":true,"family":"Montgomery","given":"Ellyn T.","affiliations":[],"preferred":false,"id":467696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brennand, Patrick","contributorId":62095,"corporation":false,"usgs":true,"family":"Brennand","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":467694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Derby, R. Kyle","contributorId":24643,"corporation":false,"usgs":true,"family":"Derby","given":"R.","email":"","middleInitial":"Kyle","affiliations":[],"preferred":false,"id":467692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brooks, Thomas W. 0000-0002-0555-3398 wallybrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-0555-3398","contributorId":5989,"corporation":false,"usgs":true,"family":"Brooks","given":"Thomas","email":"wallybrooks@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":467691,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":467689,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":467688,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Borden, Jonathan 0000-0001-6844-3340 jborden@usgs.gov","orcid":"https://orcid.org/0000-0001-6844-3340","contributorId":3098,"corporation":false,"usgs":true,"family":"Borden","given":"Jonathan","email":"jborden@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":467690,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Baldwin, Sandra M. sbrosnahan@usgs.gov","contributorId":75620,"corporation":false,"usgs":true,"family":"Baldwin","given":"Sandra M.","email":"sbrosnahan@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":467695,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70040086,"text":"ofr20121049 - 2012 - Test drilling and data collection in the Calaveras County portion of the Eastern San Joaquin Groundwater Subbasin, California, December 2009-June 2011","interactions":[],"lastModifiedDate":"2012-09-27T17:16:16","indexId":"ofr20121049","displayToPublicDate":"2012-09-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1049","title":"Test drilling and data collection in the Calaveras County portion of the Eastern San Joaquin Groundwater Subbasin, California, December 2009-June 2011","docAbstract":"Two multiple-well monitoring sites were drilled in the Calaveras County portion of the Eastern San Joaquin Groundwater Subbasin, about 100 miles east of San Francisco, California, during December 2009 and January 2010. Site 3N/9E-12G1-4 was drilled to a depth of 503 feet below land surface (bls), and four wells were installed. Site 4N/9E-36A1-3 was drilled to a depth of 400 feet bls, and three wells were installed. Lithologic and geophysical data collected during test drilling indicated the presence of volcanic sands interspersed with lahar deposits that are characteristic of the Mehrten Formation to about 420 feet bls at site 12G1-4, and the presence of volcanic sands interspersed with clay that are characteristic of the Valley Springs Formation at site 36A1-3. In January 2010, water levels at site 12G1-4 ranged from 120 to 127 feet bls (the shallowest well at the site, 12G4, screened from 90 to 110 feet bls, was dry). Between May and November 2010, water levels declined as much as 22 feet in wells 12G1 and 12G2, the deepest wells at this site, and declined about 6 feet in shallower well 12G3. During this same period, water-levels declined less than 8 feet in the three wells at site 36A1-3. Water levels in all monitoring wells recovered to near-May-2010 levels by mid-spring 2011. Dissolved solids in the six sampled monitoring wells (residue on evaporation) ranged from 154 to 239 milligrams per liter (mg/L); arsenic concentrations ranged from 1.8 to 13 micrograms per liter (&mu;g/L), and were greater than the U.S. Environmental Protection Agency Maximum Contaminant Level (MCL) for arsenic of 10 &mu;g/L in well 36A2. The oxygen-18 (&delta;<sup>18</sup>O) and deuterium (&delta;D) stable-isotopic composition of water from the six monitoring wells and from nine domestic and public-supply wells sampled as part of this study ranged from -6.7 to -8.2 per mil (&delta;<sup>18</sup>O), and -50 to -60 per mil (&delta;D), and was consistent with values expected for water recharged in the lower altitudes of the Sierra Nevada. Well 36A3, the shallowest well at site 36A1-3, was the only well that contained measurable tritium - indicative of water recharged after 1952. Carbon-14 activities from the six monitoring wells ranged from 76.0 to 18.9 percent modern carbon, and groundwater ages (time since recharge), not corrected for chemical reactions, ranged from 2,200 to 13,400 years before present.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121049","collaboration":"Prepared in cooperation with the Calaveras County Water District and the California Department of Water Resources","usgsCitation":"Metzger, L.F., Izbicki, J., and Nawikas, J., 2012, Test drilling and data collection in the Calaveras County portion of the Eastern San Joaquin Groundwater Subbasin, California, December 2009-June 2011: U.S. Geological Survey Open-File Report 2012-1049, iv, 26 p., https://doi.org/10.3133/ofr20121049.","productDescription":"iv, 26 p.","numberOfPages":"30","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":262138,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1049.jpg"},{"id":262132,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1049/","linkFileType":{"id":5,"text":"html"}},{"id":262133,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1049/pdf/ofr20121049.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","county":"Calaveras","otherGeospatial":"Eastern San Joaquin Groundwater Subbasin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.08333333333333,38 ], [ -121.08333333333333,38.25 ], [ -120.8,38.25 ], [ -120.8,38 ], [ -121.08333333333333,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662515e4b053bff18e1c10","contributors":{"authors":[{"text":"Metzger, Loren F. 0000-0003-2454-2966 lmetzger@usgs.gov","orcid":"https://orcid.org/0000-0003-2454-2966","contributorId":1378,"corporation":false,"usgs":true,"family":"Metzger","given":"Loren","email":"lmetzger@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":467699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":1375,"corporation":false,"usgs":true,"family":"Izbicki","given":"John A.","email":"jaizbick@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":467698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nawikas, Joseph M. 0000-0001-9061-6674","orcid":"https://orcid.org/0000-0001-9061-6674","contributorId":96528,"corporation":false,"usgs":true,"family":"Nawikas","given":"Joseph M.","affiliations":[],"preferred":false,"id":467700,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040071,"text":"sim3218 - 2012 - Storage capacity and sedimentation trends of Lago Garzas, Puerto Rico, 1996-2007","interactions":[],"lastModifiedDate":"2012-09-28T17:16:18","indexId":"sim3218","displayToPublicDate":"2012-09-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3218","title":"Storage capacity and sedimentation trends of Lago Garzas, Puerto Rico, 1996-2007","docAbstract":"Lago Garzas is located in west-central Puerto Rico, about 3.5 kilometers southwest of the town of Adjuntas, in the confluence of the R&iacute;o Vacas and three other unnamed tributaries (fig. 1). The dam is owned and operated by the Puerto Rico Electric Power Authority (PREPA), and was constructed in 1943 for hydroelectric power generation and municipal water use along the southern coast. The dam is a semi-hydraulic earthfill embankment lined with boulders, and has a height of 61.57 meters, a top width of 9.14 meters, a base width of 365.76 meters, and a crest length of 227.37 meters; State Road PR-518 crosses the top of the dam. A morning-glory-type spillway is located near the west abutment of the dam at an elevation of 736.12 meters above mean sea level (Puerto Rico Water Resources Authority, 1969). Figure 2 shows an aerial photograph of the Lago Garzas earthfill dam and the morning-glory spillway section. Additional information and operational procedures are provided in Soler-L&oacute;pez and others (1999). During July 17-18, 2007, the U.S. Geological Survey (USGS) Caribbean Water Science Center, in cooperation with the Puerto Rico Aqueduct and Sewer Authority, conducted a bathymetric survey of Lago Garzas to update the reservoir storage capacity and update the reservoir sedimentation rate by comparing the 2007 data with the previous 1996 bathymetric survey results. The purpose of this report is to describe and document the USGS sedimentation survey conducted at Lago Garzas during July 2007, including the methods used to update the reservoir storage capacity, sedimentation rates, and areas of substantial sediment accumulation since 1996.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3218","collaboration":"Prepared in cooperation with the Puerto Rico Aqueduct and Sewer Authority","usgsCitation":"Soler-Lopez, L., 2012, Storage capacity and sedimentation trends of Lago Garzas, Puerto Rico, 1996-2007: U.S. Geological Survey Scientific Investigations Map 3218, Map; 29 x 29 inches, https://doi.org/10.3133/sim3218.","productDescription":"Map; 29 x 29 inches","numberOfPages":"1","onlineOnly":"Y","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":262123,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3218/pdf/SIM3218.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262122,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3218/","linkFileType":{"id":5,"text":"html"}},{"id":262126,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3218.jpg"}],"country":"Puerto Rico","otherGeospatial":"Lago Garzas Basin Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -66.83333333333333,18 ], [ -66.83333333333333,18.5 ], [ -66.5,18.5 ], [ -66.5,18 ], [ -66.83333333333333,18 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662514e4b053bff18e1c0a","contributors":{"authors":[{"text":"Soler-Lopez, L.R.","contributorId":66306,"corporation":false,"usgs":true,"family":"Soler-Lopez","given":"L.R.","affiliations":[],"preferred":false,"id":467675,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040066,"text":"fs20123116 - 2012 - Assessment of undiscovered oil and gas resources of the Ordovician Utica Shale of the Appalachian Basin Province, 2012","interactions":[],"lastModifiedDate":"2012-09-27T17:16:16","indexId":"fs20123116","displayToPublicDate":"2012-09-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3116","title":"Assessment of undiscovered oil and gas resources of the Ordovician Utica Shale of the Appalachian Basin Province, 2012","docAbstract":"The U.S. Geological Survey assessed unconventional oil and gas resources of the Upper Ordovician Utica Shale and adjacent units in the Appalachian Basin Province. The assessment covers parts of Maryland, New York, Ohio, Pennsylvania, Virginia, and West Virginia. The geologic concept is that black shale of the Utica Shale and adjacent units generated hydrocarbons from Type II organic material in areas that are thermally mature for oil and gas. The source rocks generated petroleum that migrated into adjacent units, but also retained significant hydrocarbons within the matrix and adsorbed to organic matter of the shale. These are potentially technically recoverable resources that can be exploited by using horizontal drilling combined with hydraulic fracturing techniques.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123116","collaboration":"National Assessment of Oil and Gas","usgsCitation":"Kirschbaum, M.A., Schenk, C.J., Cook, T.A., Ryder, R., Charpentier, R., Klett, T., Gaswirth, S., Tennyson, M., and Whidden, K.J., 2012, Assessment of undiscovered oil and gas resources of the Ordovician Utica Shale of the Appalachian Basin Province, 2012: U.S. Geological Survey Fact Sheet 2012-3116, 6 p., https://doi.org/10.3133/fs20123116.","productDescription":"6 p.","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":262118,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3116.bmp"},{"id":262106,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3116/FS12-3116.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262105,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3116/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Maryl;New York;Ohio;Pennsylvania;Virginia;West Virginia","otherGeospatial":"Appalachian Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84,37 ], [ -84,44 ], [ -73.5,44 ], [ -73.5,37 ], [ -84,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5066250ae4b053bff18e1bda","contributors":{"authors":[{"text":"Kirschbaum, Mark A.","contributorId":25112,"corporation":false,"usgs":true,"family":"Kirschbaum","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":467662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":467657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":467663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ryder, Robert T.","contributorId":77918,"corporation":false,"usgs":true,"family":"Ryder","given":"Robert T.","affiliations":[],"preferred":false,"id":467664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":467658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":709,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy R.","email":"tklett@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":467656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gaswirth, Stephanie B. 0000-0001-5821-6347 sgaswirth@usgs.gov","orcid":"https://orcid.org/0000-0001-5821-6347","contributorId":3109,"corporation":false,"usgs":true,"family":"Gaswirth","given":"Stephanie B.","email":"sgaswirth@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":467660,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":1433,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn E.","email":"tennyson@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":467659,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":467661,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70040080,"text":"ofr20121151 - 2012 - Database of the United States Coal Pellet Collection of the U.S. Geological Survey Organic Petrology Laboratory","interactions":[],"lastModifiedDate":"2012-09-27T17:16:16","indexId":"ofr20121151","displayToPublicDate":"2012-09-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1151","title":"Database of the United States Coal Pellet Collection of the U.S. Geological Survey Organic Petrology Laboratory","docAbstract":"The Organic Petrology Laboratory (OPL) of the U.S. Geological Survey (USGS) Eastern Energy Resources Science Center in Reston, Virginia, contains several thousand processed coal sample materials that were loosely organized in laboratory drawers for the past several decades. The majority of these were prepared as 1-inch-diameter particulate coal pellets (more than 6,000 pellets; one sample usually was prepared as two pellets, although some samples were prepared in as many as four pellets), which were polished and used in reflected light petrographic studies. These samples represent the work of many scientists from the 1970s to the present, most notably Ron Stanton, who managed the OPL until 2001 (see Warwick and Ruppert, 2005, for a comprehensive bibliography of Ron Stanton's work). The purpose of the project described herein was to organize and catalog the U.S. part of the petrographic sample collection into a comprehensive database (available with this report as a Microsoft Excel file) and to compile and list published studies associated with the various sample sets. Through this work, the extent of the collection is publicly documented as a resource and sample library available to other scientists and researchers working in U.S. coal basins previously studied by organic petrologists affiliated with the USGS. Other researchers may obtain samples in the OPL collection on loan at the discretion of the USGS authors listed in this report and its associated Web page.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121151","usgsCitation":"Deems, N.J., and Hackley, P.C., 2012, Database of the United States Coal Pellet Collection of the U.S. Geological Survey Organic Petrology Laboratory: U.S. Geological Survey Open-File Report 2012-1151, iii, 18 p.; Coal Pellet Collection Database XLSX, https://doi.org/10.3133/ofr20121151.","productDescription":"iii, 18 p.; Coal Pellet Collection Database XLSX","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":262136,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1151.gif"},{"id":262128,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1151/","linkFileType":{"id":5,"text":"html"}},{"id":262129,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1151/OFR2012-1151.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5066250ee4b053bff18e1be9","contributors":{"authors":[{"text":"Deems, Nikolaus J.","contributorId":77410,"corporation":false,"usgs":true,"family":"Deems","given":"Nikolaus","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":467686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040072,"text":"sir20125204 - 2012 - Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River in and into Missouri during summer flooding, July-August 2011","interactions":[],"lastModifiedDate":"2012-09-27T17:16:16","indexId":"sir20125204","displayToPublicDate":"2012-09-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5204","title":"Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River in and into Missouri during summer flooding, July-August 2011","docAbstract":"Bathymetric and velocimetric surveys were conducted by the U.S. Geological Survey, in cooperation with the Kansas and Missouri Departments of Transportation, in the vicinity of 36 bridges at 27 highway crossings of the Missouri River between Brownville, Nebraska and St. Louis, Missouri, from July 13 through August 3, 2011, during a summer flood. A multibeam echo sounder mapping system was used to obtain channel-bed elevations for river reaches ranging from 1,350 to 1,860 feet and extending across the active channel of the Missouri River. These bathymetric scans provide a \"snapshot\" of the channel conditions at the time of the surveys and provide characteristics of scour holes that may be useful in the development of predictive guidelines or equations for scour holes. These data also may be used by the Kansas and Missouri Departments of Transportation to assess the bridges for stability and integrity issues with respect to bridge scour during floods. Bathymetric data were collected around every pier that was in water, except those at the edge of water, in extremely shallow water, or surrounded by debris rafts. Scour holes were present at most piers for which bathymetry could be obtained, except at piers on channel banks, those near or embedded in lateral or longitudinal spur dikes, and those on exposed bedrock outcrops. Scour holes observed at the surveyed bridges were examined with respect to depth and shape. Although exposure of parts of foundational support elements was observed at several piers, at most sites the exposure likely can be considered minimal compared to the overall substructure that remains buried in bed material; however, there were several notable exceptions where the bed material thickness between the bottom of the scour hole and bedrock was less than 6 feet. Such substantial exposure of usually buried substructural elements may warrant special observation in future flood events. Previous bathymetric surveys had been done at several of the sites, and comparisons between bathymetric surfaces from the previous surveys and those of this study indicate substantial variability in the response of the channel bed to the 2011 summer flood conditions. At sites in Kansas City, there was no consistent deepening of the channel or increase in the size of scour holes, despite substantially more discharge and a higher water-surface elevation in the 2011 surveys, which implies the high-flow conditions during the 2011 surveys created a similar scour scenario to the previous surveys. At Jefferson City and the St. Louis sites, there was a consistent deepening of the channel, and a slight to substantial increase in the depth of scour holes in the 2011 surveys compared to previous surveys, although the effects of the higher flow appeared to be mitigated by the shape and alignment of the piers at most sites in St. Louis. Construction activities related to a new bridge at the Atchison, Kansas, site likely have contributed to the substantial additional scour observed there in a previous survey during the 2010 flooding, and the subsequent aggradation of the channel bed observed in the 2011 survey. Pier size, nose shape, and alignment to flow also had a profound effect on the size of the scour hole observed for a given pier.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125204","collaboration":"Prepared in cooperation with the Kansas and Missouri Departments of Transportation","usgsCitation":"Huizinga, R.J., 2012, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River in and into Missouri during summer flooding, July-August 2011: U.S. Geological Survey Scientific Investigations Report 2012-5204, xii; 166 p., https://doi.org/10.3133/sir20125204.","productDescription":"xii; 166 p.","numberOfPages":"182","onlineOnly":"Y","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":262127,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5204.gif"},{"id":262124,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5204/","linkFileType":{"id":5,"text":"html"}},{"id":262125,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5204/sir12-5204.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Missouri;Nebraska","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96,38.333333333333336 ], [ -96,41 ], [ -90,41 ], [ -90,38.333333333333336 ], [ -96,38.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5066250be4b053bff18e1bdd","contributors":{"authors":[{"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":467676,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040194,"text":"ofr20121209 - 2012 - Structures data collection for the national map using volunteered geographic information","interactions":[],"lastModifiedDate":"2019-12-27T10:37:04","indexId":"ofr20121209","displayToPublicDate":"2012-09-26T09:42:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1209","displayTitle":"Structures data collection for <i>The National Map</i> using volunteered geographic information","title":"Structures data collection for the national map using volunteered geographic information","docAbstract":"The U.S. Geological Survey (USGS) has historically sponsored volunteered data collection projects to enhance its topographic paper and digital map products. This report describes one phase of an ongoing project to encourage volunteers to contribute data to <i>The National Map</i> using online editing tools. The USGS recruited students studying geographic information systems (GIS) at the University of Colorado Denver and the University of Denver in the spring of 2011 to add data on structures - manmade features such as schools, hospitals, and libraries - to four quadrangles covering metropolitan Denver. The USGS customized a version of the online Potlatch editor created by the OpenStreetMap project and populated it with 30 structure types drawn from the Geographic Names Information System (GNIS), a USGS database of geographic features. The students corrected the location and attributes of these points and added information on structures that were missing. There were two rounds of quality control. Student volunteers reviewed each point, and an in-house review of each point by the USGS followed. Nine-hundred and thirty-eight structure points were initially downloaded from the USGS database. Editing and quality control resulted in 1,214 structure points that were subsequently added to <i>The National Map</i>. A post-project analysis of the data shows that after student edit and peer review, 92 percent of the points contributed by volunteers met National Map Accuracy Standards for horizontal accuracy. Lessons from this project will be applied to later phases. These include: simplifying editing tasks and the user interfaces, stressing to volunteers the importance of adding structures that are missing, and emphasizing the importance of conforming to editorial guidelines for formatting names and addresses of structures. The next phase of the project will encompass the entire State of Colorado and will allow any citizen to contribute structures data. Volunteers will benefit from this project by engaging with their local geography and contributing to a national resource of topographic information that remains in the public domain for anyone to download.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121209","usgsCitation":"Poore, B.S., Wolf, E.B., Korris, E.M., Walter, J.L., and Matthews, G.D., 2012, Structures data collection for the national map using volunteered geographic information: U.S. Geological Survey Open-File Report 2012-1209, ii, 30 p., https://doi.org/10.3133/ofr20121209.","productDescription":"ii, 30 p.","numberOfPages":"34","onlineOnly":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":262292,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1209.gif"},{"id":262291,"rank":299,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1209/pdf/ofr2012-1209.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Denver","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.32867431640625,\n              39.308800296002914\n            ],\n            [\n              -104.5733642578125,\n              39.308800296002914\n            ],\n            [\n              -104.5733642578125,\n              40.027614437486655\n            ],\n            [\n              -105.32867431640625,\n              40.027614437486655\n            ],\n            [\n              -105.32867431640625,\n              39.308800296002914\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"508a51c8e4b07fc5688448b9","contributors":{"authors":[{"text":"Poore, Barbara S. bspoore@usgs.gov","contributorId":2541,"corporation":false,"usgs":true,"family":"Poore","given":"Barbara","email":"bspoore@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":467864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolf, Eric B. ebwolf@usgs.gov","contributorId":4535,"corporation":false,"usgs":true,"family":"Wolf","given":"Eric","email":"ebwolf@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":467865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korris, Erin M. 0000-0002-1254-9696 ekorris@usgs.gov","orcid":"https://orcid.org/0000-0002-1254-9696","contributorId":4923,"corporation":false,"usgs":true,"family":"Korris","given":"Erin","email":"ekorris@usgs.gov","middleInitial":"M.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":467867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walter, Jennifer L. 0000-0001-8183-5015 jlwalter@usgs.gov","orcid":"https://orcid.org/0000-0001-8183-5015","contributorId":5217,"corporation":false,"usgs":true,"family":"Walter","given":"Jennifer","email":"jlwalter@usgs.gov","middleInitial":"L.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":467868,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matthews, Greg D. 0000-0002-5287-3888 gdmatthews@usgs.gov","orcid":"https://orcid.org/0000-0002-5287-3888","contributorId":4922,"corporation":false,"usgs":true,"family":"Matthews","given":"Greg","email":"gdmatthews@usgs.gov","middleInitial":"D.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":467866,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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