The development of effective and minimally invasive techniques to determine gender and gonad developmental stage is particularly important in performing accurate fisheries assessments for use in conservation and restoration. The initial and latent survival of shovelnose sturgeon Scaphirhynchus platorynchus was assessed after exposure to a modified endoscopic technique designed to collect that biological information. Rather than inserting the endoscope through the urogenital canal or directly into the body cavity, we inserted a threaded trocar through a ventral incision and used a low-pressure air supply attached to the trocar to gently insufflate the body cavity. The initial survival of both experimental and control shovelnose sturgeon was 100%. Latent survival was 100% and 90% for the experimental and control fish, respectively. Our study suggests that incision endoscopy coupled with insufflation of the body cavity through the use of a trocar and an air supply is a safe and effective way to determine gender and examine the gonad developmental stage of shovelnose sturgeon. The short duration of the procedure and the high postprocedure survival suggest that this technique is suitable for shovelnose sturgeon and perhaps for the evaluation of other endangered fish species (e.g., pallid sturgeon S. alba) as well.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1577/M09-125.1","usgsCitation":"Trested, D., Goforth, R.R., Kirk, J., and Isely, J.J., 2010, Survival of shovelnose sturgeon after abdominally invasive endoscopic evaluation: North American Journal of Fisheries Management, v. 30, no. 1, p. 121-125, https://doi.org/10.1577/M09-125.1.","productDescription":"5 p.","startPage":"121","endPage":"125","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017347","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305656,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2010-02-01","publicationStatus":"PW","scienceBaseUri":"55a0ecb5e4b0183d66e4304d","contributors":{"authors":[{"text":"Trested, D.G.","contributorId":98093,"corporation":false,"usgs":true,"family":"Trested","given":"D.G.","email":"","affiliations":[],"preferred":false,"id":564302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goforth, Reuben R.","contributorId":96169,"corporation":false,"usgs":true,"family":"Goforth","given":"Reuben","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirk, J.P.","contributorId":99744,"corporation":false,"usgs":true,"family":"Kirk","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":564620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isely, J. Jeffery","contributorId":97224,"corporation":false,"usgs":true,"family":"Isely","given":"J.","email":"","middleInitial":"Jeffery","affiliations":[],"preferred":false,"id":564621,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70239738,"text":"70239738 - 2010 - The impact of hydrate saturation on the mechanical, electrical, and thermal properties of hydrate-bearing sand, silts, and clay","interactions":[],"lastModifiedDate":"2023-01-17T13:24:58.258719","indexId":"70239738","displayToPublicDate":"2010-01-01T12:58:24","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"26","title":"The impact of hydrate saturation on the mechanical, electrical, and thermal properties of hydrate-bearing sand, silts, and clay","docAbstract":"Proper understanding of the physical properties of hydrate-bearing sediments is required for interpretation of borehole logs and exploration geophysical data, the analysis of borehole and submarine slope stability, and the formulation of reservoir simulation and production models. Yet current knowledge of geophysical and geotechnical properties of hydrate-bearing sediments is still largely derived from laboratory experiments conducted on disparate soils at different confining pressures, degrees of water saturation, and hydrate concentrations and with hydrates formed by methods unlike those that predominate in nature. We conducted a comprehensive laboratory program using sand, silts, and clay subjected to various confining effective stress levels in standardized geotechnical laboratory devices and containing carefully controlled saturations of tetrahydrofuran (THF) hydrate formed from the dissolved phase. Here, we undertake complete analysis of the trends in the measured geophysical and geotechnical properties (e.g., seismic velocities, strength, electrical conductivity and permittivity, and thermal conductivity) as a function of hydrate saturation, soil characteristics, and effective stress. Results reveal that the electrical properties of hydrate-bearing sediments are not very sensitive to the laboratory method used to form hydrate, which controls the pore-scale arrangement of hydrate and sediment grains, but are sensitive to hydrate saturation. Mechanical properties are strongly influenced by both soil properties and the hydrate formation method. Thermal conductivity depends on the complex interplay of a variety of factors, including formation history, and cannot be easily predicted by volume average formulations but will remain within physical upper and lower bounds. When hydrate forms from dissolved phase guest molecules, the resulting mathematical trends for all physical properties require that the hydrate saturation Sh in pore space, which is a quantity between 0≤ Sh ≤1.0 , be raised to a power greater than 1. This significantly reduces the impact of low-hydrate saturations on the measured physical parameters, an effect that is particularly pronounced at the hydrate saturations characteristic of many natural systems (<0.2 of pore space).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geophysical characterization of gas hydrates","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.9781560802197.ch26","usgsCitation":"Santamarina, J., and Ruppel, C.D., 2010, The impact of hydrate saturation on the mechanical, electrical, and thermal properties of hydrate-bearing sand, silts, and clay, chap. 26 of Geophysical characterization of gas hydrates, p. 373-384, https://doi.org/10.1190/1.9781560802197.ch26.","productDescription":"12 p.","startPage":"373","endPage":"384","ipdsId":"IP-005935","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":411963,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2010-03-21","publicationStatus":"PW","contributors":{"editors":[{"text":"Riedel, Michael","contributorId":7518,"corporation":false,"usgs":true,"family":"Riedel","given":"Michael","email":"","affiliations":[],"preferred":false,"id":861708,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Willoughby, Eleanor C.","contributorId":301001,"corporation":false,"usgs":false,"family":"Willoughby","given":"Eleanor","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":861713,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Chopra, Satinder","contributorId":301000,"corporation":false,"usgs":false,"family":"Chopra","given":"Satinder","email":"","affiliations":[],"preferred":false,"id":861714,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Santamarina, J. Carlos","contributorId":300994,"corporation":false,"usgs":false,"family":"Santamarina","given":"J. Carlos","affiliations":[{"id":27815,"text":"Georgia Tech","active":true,"usgs":false}],"preferred":false,"id":861695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":861694,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70004886,"text":"70004886 - 2010 - An Adaptive Management Approach for Summer Water Level Reductions on the Upper Mississippi River System","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"70004886","displayToPublicDate":"2010-01-01T12:39:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"An Adaptive Management Approach for Summer Water Level Reductions on the Upper Mississippi River System","docAbstract":"The primary purpose of this report is to provide an adaptive management approach for learning more about summer water level reductions (drawdowns) as a management tool, including where and how drawdowns can be applied most effectively within the Upper Mississippi River System. The report reviews previous drawdowns conducted within the system and provides specific recommendations for learning more about the lesser known effects of drawdowns and how the outcomes can be influenced by different implementation strategies and local conditions. The knowledge gained can be used by managers to determine how best to implement drawdowns in different parts of the UMRS to help achieve management goals. The information and recommendations contained in the report are derived from results of previous drawdown projects, insights from regional disciplinary experts, and the experience of the authors in experimental design, modeling, and monitoring. Modeling is a critical part of adaptive management and can involve conceptual models, simulation models, and empirical models. In this report we present conceptual models that express current understanding regarding functioning of the UMRS as related to drawdowns and highlight interactions among key ecological components of the system. The models were developed within the constraints of drawdown timing, magnitude (depth), and spatial differences in effects (longitudinal and lateral) with attention to ecological processes affected by drawdowns. With input from regional experts we focused on the responses of vegetation, fish, mussels, other invertebrates, and birds. The conceptual models reflect current understanding about relations and interactions among system components, the expected strength of those interactions, potential responses of system components to drawdowns, likelihood of the response occurring, and key uncertainties that limit our ability to make accurate predictions of effects (Table 1, Fig. 4-10). Based on this current understanding, the main questions still associated with drawdowns include (1) the effects of frequency of drawdowns (from once every few years to multiple years in succession); (2) timing of the beginning of drawdowns (follow the descending arm of the flood pulse versus always beginning in early summer); (3) long-term benefits (greater than 5-6 years), especially as compared to known short-term loses (e.g., mortality of mussels in exposed areas, loss of submersed vegetation in exposed areas, cost of advanced dredging); and (4) the effects in northern (above pool 14) versus southern pools (pool 14 and below, and the Illinois River). An adaptive management design should address these questions to reduce uncertainty in predictions of drawdown effects and help determine if different implementation strategies are needed in different parts of the system. Given that drawdowns will continue to be used as a management tool on the UMRS, we suggest that some drawdowns be conducted in an adaptive management context that helps meet management objectives, but also provides efficient learning about the questions listed above. We propose two different, but interrelated, experimental designs to address these questions. Both designs call for conducting multiple drawdowns in multiple pools (2-4 pools) to allow direct comparison of results and produce rapid learning. However, the report does not provide a detailed scope of work for carrying out the designs. If managers choose to implement one of the experimental designs, specifics of choosing appropriate pools and developing a monitoring plan will need to be determined through collaboration among managers, researchers, and statisticians. We suggest characteristics to consider in selecting treatment and reference pools (study sites) and also provide guidance for developing a monitoring plan. Some aspects of these two designs could be implemented individually, but by implementing individual elements, direct comparisons of some design features ","language":"English","publisher":"U.S. Army Corps of Engineers, Rock Island District","publisherLocation":"Rock Island, IL","usgsCitation":"Johnson, B., Barko, J., Clevenstine, R., Davis, M., Galat, D., Lubinski, S., and Nestler, J., 2010, An Adaptive Management Approach for Summer Water Level Reductions on the Upper Mississippi River System, 67 p.","productDescription":"67 p.","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":112393,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.google.com/url?sa=t&rct=j&q=an%20adaptive%20management%20approach%20for%20summer%20water%20level%20reductions%20on%20the%20upper%20mississippi%20river%20system&source=web&cd=1&ved=0CCMQFjAA&url=http%3A%2F%2Fwww2.mvr.usace.army.mil%2FUMRS%2FNESP%2FDocuments%2FWater%2520Level%2520Management%2520Report_Final%252028Oct2010.pdf&ei=e6T8Tr6sIuLf0QGOv5iHAg&usg=AFQjCNHnxNc1j1r4H9lUoPKXGhbAq3UBjw&cad=rja","linkFileType":{"id":1,"text":"pdf"}},{"id":204384,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois;Iowa;Minnesota;Missouri;Wisconsin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9cee4b0c8380cd48487","contributors":{"authors":[{"text":"Johnson, Barry L.","contributorId":95009,"corporation":false,"usgs":true,"family":"Johnson","given":"Barry L.","affiliations":[],"preferred":false,"id":351594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barko, J.W.","contributorId":84705,"corporation":false,"usgs":true,"family":"Barko","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":351592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clevenstine, R.","contributorId":18894,"corporation":false,"usgs":true,"family":"Clevenstine","given":"R.","email":"","affiliations":[],"preferred":false,"id":351589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, M.","contributorId":102829,"corporation":false,"usgs":true,"family":"Davis","given":"M.","affiliations":[],"preferred":false,"id":351595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galat, D.L.","contributorId":54546,"corporation":false,"usgs":true,"family":"Galat","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":351590,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lubinski, S.J.","contributorId":83063,"corporation":false,"usgs":true,"family":"Lubinski","given":"S.J.","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":351591,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nestler, J.M.","contributorId":85685,"corporation":false,"usgs":true,"family":"Nestler","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":351593,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70148656,"text":"70148656 - 2010 - Habitat suitability of the Carolina madtom, an imperiled, endemic stream fish","interactions":[],"lastModifiedDate":"2015-07-13T10:51:58","indexId":"70148656","displayToPublicDate":"2010-01-01T12:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Habitat suitability of the Carolina madtom, an imperiled, endemic stream fish","docAbstract":"The Carolina madtom Noturus furiosus is an imperiled stream ictalurid that is endemic to the Tar and Neuse River basins in North Carolina. The Carolina madtom is listed as a threatened species by the state of North Carolina, and whereas recent distribution surveys have found that the Tar River basin population occupies a range similar to its historical range, the Neuse River basin population has shown recent significant decline. Quantification of habitat requirements and availability is critical for effective management and subsequent survival of the species. We investigated six reaches (three in each basin) to (1) quantify Carolina madtom microhabitat use, availability, and suitability; (2) compare suitable microhabitat availability between the two basins; and (3) examine use of an instream artificial cover unit. Carolina madtoms were located and their habitat was quantified at four of the six survey reaches. They most frequently occupied shallow to moderate depths of swift moving water over a sand substrate and used cobble for cover. Univariate and principal components analyses both showed that Carolina madtom use of instream habitat was selective (i.e., nonrandom). Interbasin comparisons suggested that suitable microhabitats were more prevalent in the impacted Neuse River basin than in the Tar River basin. We suggest that other physical or biotic effects may be responsible for the decline in the Neuse River basin population. We designed instream artificial cover units that were occupied by Carolina madtoms (25% of the time) and occasionally by other organisms. Carolina madtom abundance among all areas treated with the artificial cover unit was statistically higher than that in the control areas, demonstrating use of artificial cover when available. Microhabitat characteristics of occupied artificial cover units closely resembled those of natural instream microhabitat used by Carolina madtoms; these units present an option for conservation and restoration if increased management is deemed necessary. Results from our study provide habitat suitability criteria and artificial cover information that can inform management and conservation of the Carolina madtom.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1577/T08-238.1","collaboration":"State Wildlife Grant through the NCWRC; North Carolina State University; U.S. Fish and Wildlife Service; Wildlife Management Institute","usgsCitation":"Midway, S., Kwak, T.J., and Aday, D., 2010, Habitat suitability of the Carolina madtom, an imperiled, endemic stream fish: Transactions of the American Fisheries Society, v. 139, no. 2, p. 325-338, https://doi.org/10.1577/T08-238.1.","productDescription":"14 p.","startPage":"325","endPage":"338","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011020","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"139","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"55a4e13fe4b0183d66e45396","contributors":{"authors":[{"text":"Midway, S.R.","contributorId":55666,"corporation":false,"usgs":true,"family":"Midway","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":564702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aday, D.D.","contributorId":75356,"corporation":false,"usgs":true,"family":"Aday","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":564703,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047448,"text":"dds49029 - 2010 - Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: 30-year average annual maximum temperature, 1971-2000","interactions":[],"lastModifiedDate":"2013-11-25T16:00:07","indexId":"dds49029","displayToPublicDate":"2010-01-01T11:56:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"490-29","title":"Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: 30-year average annual maximum temperature, 1971-2000","docAbstract":"This data set represents the 30-year (1971-2000) average annual maximum temperature in Celsius multiplied by 100 compiled for every catchment of NHDPlus for the conterminous United States. The source data were the United States Average Monthly or Annual Minimum Temperature, 1971 - 2000 raster dataset produced by the PRISM Group at Oregon State University. The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49029","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: 30-year average annual maximum temperature, 1971-2000: U.S. Geological Survey Data Series 490-29, Dataset, https://doi.org/10.3133/dds49029.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":276119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":276118,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_tmax30yr.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52021ae0e4b0e21cafa49c1d","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482059,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70074342,"text":"70074342 - 2010 - Use of electrical imaging and distributed temperature sensing methods to characterize surface water–groundwater exchange regulating uranium transport at the Hanford 300 Area, Washington","interactions":[],"lastModifiedDate":"2019-10-23T17:20:09","indexId":"70074342","displayToPublicDate":"2010-01-01T11:50:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Use of electrical imaging and distributed temperature sensing methods to characterize surface water–groundwater exchange regulating uranium transport at the Hanford 300 Area, Washington","docAbstract":"We explored the use of continuous waterborne electrical imaging (CWEI), in conjunction with fiber‐optic distributed temperature sensor (FO‐DTS) monitoring, to improve the conceptual model for uranium transport within the Columbia River corridor at the Hanford 300 Area, Washington. We first inverted resistivity and induced polarization CWEI data sets for distributions of electrical resistivity and polarizability, from which the spatial complexity of the primary hydrogeologic units was reconstructed. Variations in the depth to the interface between the overlying coarse‐grained, high‐permeability Hanford Formation and the underlying finer‐grained, less permeable Ringold Formation, an important contact that limits vertical migration of contaminants, were resolved along ∼3 km of the river corridor centered on the 300 Area. Polarizability images were translated into lithologic images using established relationships between polarizability and surface area normalized to pore volume (Spor). The FO‐DTS data recorded along 1.5 km of cable with a 1 m spatial resolution and 5 min sampling interval revealed subreaches showing (1) temperature anomalies (relatively warm in winter and cool in summer) and (2) a strong correlation between temperature and river stage (negative in winter and positive in summer), both indicative of reaches of enhanced surface water–groundwater exchange. The FO‐DTS data sets confirm the hydrologic significance of the variability identified in the CWEI and reveal a pattern of highly focused exchange, concentrated at springs where the Hanford Formation is thickest. Our findings illustrate how the combination of CWEI and FO‐DTS technologies can characterize surface water–groundwater exchange in a complex, coupled river‐aquifer system.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010WR009110","usgsCitation":"Slater, L.D., Ntarlagiannis, D., Day-Lewis, F.D., Mwakanyamale, K., Versteeg, R.J., Ward, A., Strickland, C., Johnson, C.D., and Lane, J.W., 2010, Use of electrical imaging and distributed temperature sensing methods to characterize surface water–groundwater exchange regulating uranium transport at the Hanford 300 Area, Washington: Water Resources Research, v. 46, no. 10, W10533; 3 p., https://doi.org/10.1029/2010WR009110.","productDescription":"W10533; 3 p.","onlineOnly":"N","ipdsId":"IP-019421","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475763,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010wr009110","text":"Publisher Index Page"},{"id":281654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Richland","otherGeospatial":"Hanford 300 Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.28319931030273,\n 46.35699885440808\n ],\n [\n -119.26620483398438,\n 46.35699885440808\n ],\n [\n -119.26620483398438,\n 46.37547772047758\n ],\n [\n -119.28319931030273,\n 46.37547772047758\n ],\n [\n -119.28319931030273,\n 46.35699885440808\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"10","noUsgsAuthors":false,"publicationDate":"2010-10-21","publicationStatus":"PW","scienceBaseUri":"53cd7a93e4b0b2908510d92c","contributors":{"authors":[{"text":"Slater, Lee D.","contributorId":95792,"corporation":false,"usgs":true,"family":"Slater","given":"Lee","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":489534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ntarlagiannis, Dimitrios","contributorId":55303,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitrios","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":489531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":489527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mwakanyamale, Kisa","contributorId":75847,"corporation":false,"usgs":true,"family":"Mwakanyamale","given":"Kisa","email":"","affiliations":[],"preferred":false,"id":489533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Versteeg, Roelof J.","contributorId":73501,"corporation":false,"usgs":true,"family":"Versteeg","given":"Roelof","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":489532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ward, Andy","contributorId":7184,"corporation":false,"usgs":true,"family":"Ward","given":"Andy","email":"","affiliations":[],"preferred":false,"id":489530,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Strickland, Christopher","contributorId":101991,"corporation":false,"usgs":true,"family":"Strickland","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":489535,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":489529,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lane, John W. Jr. jwlane@usgs.gov","contributorId":1738,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":489528,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70047446,"text":"dds49028 - 2010 - Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: Average Annual Daily Maximum Temperature, 2002","interactions":[],"lastModifiedDate":"2013-11-25T15:59:40","indexId":"dds49028","displayToPublicDate":"2010-01-01T11:38:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"490-28","title":"Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: Average Annual Daily Maximum Temperature, 2002","docAbstract":"This data set represents the average monthly maximum temperature in Celsius multiplied by 100 for 2002 compiled for every catchment of NHDPlus for the conterminous United States. The source data were the Near-Real-Time High-Resolution Monthly Average Maximum/Minimum Temperature for the Conterminous United States for 2002 raster dataset produced by the Spatial Climate Analysis Service at Oregon State University. The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49028","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: Average Annual Daily Maximum Temperature, 2002: U.S. Geological Survey Data Series 490-28, Dataset, https://doi.org/10.3133/dds49028.","productDescription":"Dataset","costCenters":[],"links":[{"id":276116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52021ae0e4b0e21cafa49c21","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482056,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70154839,"text":"70154839 - 2010 - Estimation and modeling of electrofishing capture efficiency for fishes in wadeable warmwater streams","interactions":[],"lastModifiedDate":"2015-08-10T10:27:39","indexId":"70154839","displayToPublicDate":"2010-01-01T11:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimation and modeling of electrofishing capture efficiency for fishes in wadeable warmwater streams","docAbstract":"Stream fish managers often use fish sample data to inform management decisions affecting fish populations. Fish sample data, however, can be biased by the same factors affecting fish populations. To minimize the effect of sample biases on decision making, biologists need information on the effectiveness of fish sampling methods. We evaluated single-pass backpack electrofishing and seining combined with electrofishing by following a dual-gear, mark–recapture approach in 61 blocknetted sample units within first- to third-order streams. We also estimated fish movement out of unblocked units during sampling. Capture efficiency and fish abundances were modeled for 50 fish species by use of conditional multinomial capture–recapture models. The best-approximating models indicated that capture efficiencies were generally low and differed among species groups based on family or genus. Efficiencies of single-pass electrofishing and seining combined with electrofishing were greatest for Catostomidae and lowest for Ictaluridae. Fish body length and stream habitat characteristics (mean cross-sectional area, wood density, mean current velocity, and turbidity) also were related to capture efficiency of both methods, but the effects differed among species groups. We estimated that, on average, 23% of fish left the unblocked sample units, but net movement varied among species. Our results suggest that (1) common warmwater stream fish sampling methods have low capture efficiency and (2) failure to adjust for incomplete capture may bias estimates of fish abundance. We suggest that managers minimize bias from incomplete capture by adjusting data for site- and species-specific capture efficiency and by choosing sampling gear that provide estimates with minimal bias and variance. Furthermore, if block nets are not used, we recommend that managers adjust the data based on unconditional capture efficiency.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1577/M09-122.1","usgsCitation":"Price, A., and Peterson, J., 2010, Estimation and modeling of electrofishing capture efficiency for fishes in wadeable warmwater streams: North American Journal of Fisheries Management, v. 30, no. 2, p. 481-498, https://doi.org/10.1577/M09-122.1.","productDescription":"18 p.","startPage":"481","endPage":"498","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-015960","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":306529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2010-04-01","publicationStatus":"PW","scienceBaseUri":"55c9cb33e4b08400b1fdb708","contributors":{"authors":[{"text":"Price, A.","contributorId":78850,"corporation":false,"usgs":true,"family":"Price","given":"A.","email":"","affiliations":[],"preferred":false,"id":567604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":564253,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201012,"text":"70201012 - 2010 - Evaluating the meaning of “layer” in the Martian north polar layered deposits and the impact on the climate connection","interactions":[],"lastModifiedDate":"2018-11-20T11:15:27","indexId":"70201012","displayToPublicDate":"2010-01-01T11:15:02","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the meaning of “layer” in the Martian north polar layered deposits and the impact on the climate connection","docAbstract":"Using data from the High Resolution Imaging Science Experiment (HiRISE) aboard the Mars Reconnaissance Orbiter, we reassess the methods by which layers within the north polar layered deposits (NPLD) can be delineated and their thicknesses measured. Apparent brightness and morphology alone are insufficient for this task; high resolution topographic data are necessary. From these analyses, we find that the visible appearance of layers depends to a large degree on the distribution of younger, mantling deposits (which in turn is partially influenced by inherent layer properties) and on the shape and location of the particular outcrop. This younger mantle partially obscures layer morphology and brightness and is likely a cause of the gradational contacts between individual layers at this scale. High resolution images reveal that there are several layers similar in appearance to the well-known marker bed discovered by Malin, M., Edgett, K., 2001. J. Geophys. Res. 106, 23429–23570. The morphology, thicknesses
Climate creates environmental constraints (filters) that affect the abundance and distribution of species. In estuaries, these constraints often result from variability in water flow properties and environmental conditions (i.e. water flow, salinity, water temperature) and can have significant effects on the abundance and distribution of commercially important nekton species. We investigated links between large-scale climate variability and juvenile brown shrimp Farfantepenaeus aztecus abundance in Breton Sound estuary, Louisiana (USA). Our goals were to (1) determine if a teleconnection exists between local juvenile brown shrimp abundance and the El Niño Southern Oscillation (ENSO) and (2) relate that linkage to environmental constraints that may affect juvenile brown shrimp recruitment to, and survival in, the estuary. Our results identified a teleconnection between winter ENSO conditions and juvenile brown shrimp abundance in Breton Sound estuary the following spring. The physical connection results from the impact of ENSO on winter weather conditions in Breton Sound (air pressure, temperature, and precipitation). Juvenile brown shrimp abundance effects lagged ENSO by 3 mo: lower than average abundances of juvenile brown shrimp were caught in springs following winter El Niño events, and higher than average abundances of brown shrimp were caught in springs following La Niña winters. Salinity was the dominant ENSO-forced environmental filter for juvenile brown shrimp. Spring salinity was cumulatively forced by winter river discharge, winter wind forcing, and spring precipitation. Thus, predicting brown shrimp abundance requires incorporating climate variability into models.
","language":"English","publisher":"Inter-Research","publisherLocation":"Amelinghausen, Germany","doi":"10.3354/cr00898","collaboration":"Louisiana Department of Natural Resources; Louisiana Department of Wildlife and Fisheries","usgsCitation":"Piazza, B.P., LaPeyre, M.K., and Keim, B., 2010, Relating large-scale climate variability to local species abundance: ENSO forcing and shrimp in Breton Sound, Louisiana, USA: Climate Research, v. 42, no. 3, p. 195-207, https://doi.org/10.3354/cr00898.","productDescription":"13 p.","startPage":"195","endPage":"207","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-014414","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":475765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/cr00898","text":"Publisher Index Page"},{"id":301337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55853d56e4b023124e8f5b3a","contributors":{"authors":[{"text":"Piazza, Bryan P.","contributorId":11022,"corporation":false,"usgs":true,"family":"Piazza","given":"Bryan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":548985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keim, B.D.","contributorId":72988,"corporation":false,"usgs":true,"family":"Keim","given":"B.D.","email":"","affiliations":[],"preferred":false,"id":548986,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199594,"text":"70199594 - 2010 - A methodology for the assessment of unconventional (continuous) resources with an application to the Greater Natural Buttes gas field, Utah","interactions":[],"lastModifiedDate":"2018-11-29T10:42:31","indexId":"70199594","displayToPublicDate":"2010-01-01T10:59:08","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"A methodology for the assessment of unconventional (continuous) resources with an application to the Greater Natural Buttes gas field, Utah","docAbstract":"The Greater Natural Buttes tight natural gas field is an unconventional (continuous) accumulation in the Uinta Basin, Utah, that began production in the early 1950s from the Upper Cretaceous Mesaverde Group. Three years later, production was extended to the Eocene Wasatch Formation. With the exclusion of 1100 non-productive (“dry”) wells, we estimate that the final recovery from the 2500 producing wells existing in 2007 will be about 1.7 trillion standard cubic feet (TSCF) (48.2 billion cubic meters (BCM)). The use of estimated ultimate recovery (EUR) per well is common in assessments of unconventional resources, and it is one of the main sources of information to forecast undiscovered resources. Each calculated recovery value has an associated drainage area that generally varies from well to well and that can be mathematically subdivided into elemental subareas of constant size and shape called cells. Recovery per 5-acre cells at Greater Natural Buttes shows spatial correlation; hence, statistical approaches that ignore this correlation when inferring EUR values for untested cells do not take full advantage of all the information contained in the data. More critically, resulting models do not match the style of spatial EUR fluctuations observed in nature. This study takes a new approach by applying spatial statistics to model geographical variation of cell EUR taking into account spatial correlation and the influence of fractures. We applied sequential indicator simulation to model non-productive cells, while spatial mapping of cell EUR was obtained by applying sequential Gaussian simulation to provide multiple versions of reality (realizations) having equal chances of being the correct model. For each realization, summation of EUR in cells not drained by the existing wells allowed preparation of a stochastic prediction of undiscovered resources, which range between 2.6 and 3.4 TSCF (73.6 and 96.3 BCM) with a mean of 2.9 TSCF (82.1 BCM) for Greater Natural Buttes. A second approach illustrates the application of multiple-point simulation to assess a hypothetical frontier area for which there is no production information but which is regarded as being similar to Greater Natural Buttes.
","language":"English","publisher":"Springer","doi":"10.1007/s11053-010-9127-8","usgsCitation":"Olea, R., Cook, T.A., and Coleman, J., 2010, A methodology for the assessment of unconventional (continuous) resources with an application to the Greater Natural Buttes gas field, Utah: Natural Resources Research, v. 19, no. 4, p. 237-251, https://doi.org/10.1007/s11053-010-9127-8.","productDescription":"15 p.","startPage":"237","endPage":"251","ipdsId":"IP-017861","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":357661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Greater Natural Buttes Gas Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.08850097656249,\n 39.68182601089365\n ],\n [\n -109.0447998046875,\n 39.68182601089365\n ],\n [\n -109.0447998046875,\n 40.24179856487036\n ],\n [\n -110.08850097656249,\n 40.24179856487036\n ],\n [\n -110.08850097656249,\n 39.68182601089365\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-09-25","publicationStatus":"PW","scienceBaseUri":"5c0108d9e4b0815414cc2e0d","contributors":{"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":47873,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":745927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":746102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coleman, James L.","contributorId":208106,"corporation":false,"usgs":false,"family":"Coleman","given":"James L.","affiliations":[{"id":37715,"text":"Ex-USGS, now retired","active":true,"usgs":false}],"preferred":false,"id":745926,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047442,"text":"dds49025 - 2010 - Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: surficial geology","interactions":[],"lastModifiedDate":"2013-11-25T15:59:04","indexId":"dds49025","displayToPublicDate":"2010-01-01T10:52:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"490-25","title":"Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: surficial geology","docAbstract":"This data set represents the area of surficial geology types in square meters compiled for every catchment of NHDPlus for the conterminous United States. The source data set is the \"Digital data set describing surficial geology in the conterminous US\" (Clawges and Price, 1999). The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49025","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: surficial geology: U.S. Geological Survey Data Series 490-25, Dataset, https://doi.org/10.3133/dds49025.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":276108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":276107,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_sgeol.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52021ae0e4b0e21cafa49c29","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482048,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199021,"text":"70199021 - 2010 - Effects of current-use pesticides on amphibians","interactions":[],"lastModifiedDate":"2018-08-29T10:49:25","indexId":"70199021","displayToPublicDate":"2010-01-01T10:46:12","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Effects of current-use pesticides on amphibians","docAbstract":"For many years, amphibians were understudied in the ecotoxicological literature. In 1989, the Canadian Wildlife Service published a comprehensive review of studies examining the effects of contaminants on amphibians (Power et al. 1989). Just 10 years later, the same organization published an updated review that included twice the number of studies (Pauli et al. 2000), indicating rapid growth in the field of amphibian ecotoxicology. However, Sparling et al. (2000) point out that the number of amphibian ecotoxicological studies remains modest relative to research utilizing other taxa. Relyea and Hoverman (2006) also report that amphibian data appear to be lagging behind other taxa, despite an increasing number of ecotoxicological studies involving freshwater ecosystems in general.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecotoxicology of amphibians and reptiles","language":"English","publisher":"Taylor & Francis","usgsCitation":"Lehman, C., and Williams, B.K., 2010, Effects of current-use pesticides on amphibians, chap. 6 of Ecotoxicology of amphibians and reptiles, p. 167-202.","productDescription":"36 p. ","startPage":"167","endPage":"202","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":356912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356911,"rank":1,"type":{"id":1,"text":"Abstract"},"url":"https://www.taylorfrancis.com/books/e/9781420064179/chapters/10.1201%2FEBK1420064162-13"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98b7dfe4b0702d0e844f63","contributors":{"editors":[{"text":"Sparling, Donald","contributorId":20650,"corporation":false,"usgs":true,"family":"Sparling","given":"Donald","affiliations":[],"preferred":false,"id":743805,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Linder, Greg L. linder2@usgs.gov","contributorId":1766,"corporation":false,"usgs":true,"family":"Linder","given":"Greg","email":"linder2@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":743806,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Bishop, Christine A.","contributorId":10749,"corporation":false,"usgs":true,"family":"Bishop","given":"Christine A.","affiliations":[],"preferred":false,"id":743807,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Krest, Sherry K.","contributorId":113670,"corporation":false,"usgs":true,"family":"Krest","given":"Sherry","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":743808,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Lehman, C.","contributorId":75342,"corporation":false,"usgs":true,"family":"Lehman","given":"C.","email":"","affiliations":[],"preferred":false,"id":743803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, B K","contributorId":140651,"corporation":false,"usgs":false,"family":"Williams","given":"B","email":"","middleInitial":"K","affiliations":[{"id":12801,"text":"The Wildlife Society","active":true,"usgs":false}],"preferred":false,"id":743804,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148192,"text":"70148192 - 2010 - Occupancy and habitat use of the Least Bittern and Pied-Billed Grebe in the Illinois and Upper Mississippi River Valleys","interactions":[],"lastModifiedDate":"2015-05-26T09:45:12","indexId":"70148192","displayToPublicDate":"2010-01-01T10:45:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy and habitat use of the Least Bittern and Pied-Billed Grebe in the Illinois and Upper Mississippi River Valleys","docAbstract":"The Least Bittern (Ixobrychus exilis) and the Pied-billed Grebe (Podilymbus podiceps) are secretive marsh bird species that breed in the Illinois and Upper Mississippi River Valleys. Marsh bird surveys were conducted on public and private wetlands in this region during the breeding seasons of 2006 and 2007. Detection probability (ῥ) and site occupancy probability (ψ) were estimated for each species separately for each year. Candidate models including sampling and habitat covariates were compared using AIC(c) to determine what variables had the greatest influence on ῥ and ψ. Average ῥ for Least Bitterns was 0.29 in 2006 and 0.18 in 2007, and varied throughout the 2007 survey season. Average ψ for Pied-billed Grebes was 0.44 in 2006 and 0.22 in 2007, and an observer effect was found in 2007. Overall ψ for Least Bitterns was 0.17 in 2006 and 0.14 in 2007. Least Bittern occupancy was positively related to tall emergent vegetation cover in both years and to water-vegetation interspersion in 2007, and was negatively related to woody vegetation cover in 2007. Overall ψ for Pied-billed Grebes was 0.21 in 2006 and 0.31 in 2007. Pied-billed Grebe occupancy was negatively related to woody vegetation cover in both years, and was positively related to areas of open water in 2006. Land managers targeting these species should provide wetlands free from woody vegetation with extensive areas of open water for Pied-billed Grebes, and tall emergent vegetation interspersed with small pools of water for Least Bitterns.
","language":"English","publisher":"Waterbird Society","publisherLocation":"Washington, D.C.","doi":"10.1675/063.033.0314","usgsCitation":"Darrah, A.J., and Krementz, D.G., 2010, Occupancy and habitat use of the Least Bittern and Pied-Billed Grebe in the Illinois and Upper Mississippi River Valleys: Waterbirds, v. 33, no. 3, p. 367-375, https://doi.org/10.1675/063.033.0314.","productDescription":"9 p.","startPage":"367","endPage":"375","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013681","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55659950e4b0d9246a9eb639","contributors":{"authors":[{"text":"Darrah, Abigail J. adarrah@usgs.gov","contributorId":5883,"corporation":false,"usgs":true,"family":"Darrah","given":"Abigail","email":"adarrah@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":547577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547551,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148714,"text":"70148714 - 2010 - Bioenergetics assessment of fish and crayfish consumption by river otter (Lontra canadensis): integrating prey availability, diet, and field metabolic rate","interactions":[],"lastModifiedDate":"2015-06-22T09:37:53","indexId":"70148714","displayToPublicDate":"2010-01-01T10:45:00","publicationYear":"2010","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":"Bioenergetics assessment of fish and crayfish consumption by river otter (Lontra canadensis): integrating prey availability, diet, and field metabolic rate","docAbstract":"River otters (Lontra canadensis) are important predators in aquatic ecosystems, but few studies quantify their prey consumption. We trapped crayfish monthly as an index of availability and collected otter scat for diet analysis in the Ozark Mountains of northwestern Arkansas, USA. We measured otter daily energy expenditure (DEE) with the doubly labeled water method to develop a bioenergetics model for estimating monthly prey consumption. Meek's crayfish (Orconectes meeki) catch-per-unit-effort was positively related to stream temperature, indicating that crayfish were more available during warmer months. The percentage frequency of occurrence for crayfish in scat samples peaked at 85.0% in summer and was lowest (42.3%) in winter. In contrast, the percentage occurrence of fish was 13.3% in summer and 57.7% in winter. Estimates of DEE averaged 4738 kJ·day-1 for an otter with a body mass of 7842 g. Total biomass consumption ranged from 35 079 to 52 653 g·month-1 (wet mass), corresponding to a high proportion of fish and crayfish in the diet, respectively. Otter consumption represents a large fraction of prey production, indicating potentially strong effects of otters on trophic dynamics in stream ecosystems.
","language":"English","publisher":"National Research Council Canada","publisherLocation":"Ottawa","doi":"10.1139/F10-074","collaboration":"Arkansas Cooperative Fish and Wildlife Research Unit; University of Arkansas; Arkansas Game and Fish Commission; US Geological Survey; Wildlife Management Institute; Missouri Department of Conservation","usgsCitation":"Dekar, M.P., Magoulick, D.D., and Beringer, J., 2010, Bioenergetics assessment of fish and crayfish consumption by river otter (Lontra canadensis): integrating prey availability, diet, and field metabolic rate: Canadian Journal of Fisheries and Aquatic Sciences, v. 67, no. 9, p. 1439-1448, https://doi.org/10.1139/F10-074.","productDescription":"10 p.","startPage":"1439","endPage":"1448","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-016012","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":301402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"9","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558931b3e4b0b6d21dd61bc5","contributors":{"authors":[{"text":"Dekar, Matthew P.","contributorId":139245,"corporation":false,"usgs":false,"family":"Dekar","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":549102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":549081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beringer, J.","contributorId":25274,"corporation":false,"usgs":true,"family":"Beringer","given":"J.","email":"","affiliations":[],"preferred":false,"id":549103,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70056553,"text":"70056553 - 2010 - Effect of numerical dispersion as a source of structural noise in the calibration of a highly parameterized saltwater intrusion model","interactions":[],"lastModifiedDate":"2014-05-27T10:45:36","indexId":"70056553","displayToPublicDate":"2010-01-01T10:37:14","publicationYear":"2010","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Effect of numerical dispersion as a source of structural noise in the calibration of a highly parameterized saltwater intrusion model","docAbstract":"A model with a small amount of numerical dispersion was used to represent saltwater 7 intrusion in a homogeneous aquifer for a 10-year historical calibration period with one 8 groundwater withdrawal location followed by a 10-year prediction period with two groundwater 9 withdrawal locations. Time-varying groundwater concentrations at arbitrary locations in this low-10 dispersion model were then used as observations to calibrate a model with a greater amount of 11 numerical dispersion. The low-dispersion model was solved using a Total Variation Diminishing 12 numerical scheme; an implicit finite difference scheme with upstream weighting was used for 13 the calibration simulations. Calibration focused on estimating a three-dimensional hydraulic 14 conductivity field that was parameterized using a regular grid of pilot points in each layer and a 15 smoothness constraint. Other model parameters (dispersivity, porosity, recharge, etc.) were 16 fixed at the known values. The discrepancy between observed and simulated concentrations 17 (due solely to numerical dispersion) was reduced by adjusting hydraulic conductivity through the 18 calibration process. Within the transition zone, hydraulic conductivity tended to be lower than 19 the true value for the calibration runs tested. The calibration process introduced lower hydraulic 20 conductivity values to compensate for numerical dispersion and improve the match between 21 observed and simulated concentration breakthrough curves at monitoring locations. 22 Concentrations were underpredicted at both groundwater withdrawal locations during the 10-23 year prediction period.","largerWorkTitle":"Proceedings 2009 PEST Conference","conferenceTitle":"The PEST Conference","conferenceDate":"2009-11-02T00:00:00","conferenceLocation":"Potomac, MD","language":"English","publisher":"S.S. Papadopulos & Associates, Inc.","usgsCitation":"Langevin, C.D., and Hughes, J.D., 2010, Effect of numerical dispersion as a source of structural noise in the calibration of a highly parameterized saltwater intrusion model, 14 p.","productDescription":"14 p.","startPage":"146","endPage":"159","numberOfPages":"14","ipdsId":"IP-016533","costCenters":[{"id":286,"text":"Florida Water Science Center-Ft. Lauderdale","active":false,"usgs":true}],"links":[{"id":287585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279255,"type":{"id":15,"text":"Index Page"},"url":"https://www.sspa.com/pest/the-pest-conference.html"},{"id":287586,"type":{"id":15,"text":"Index Page"},"url":"https://www.lulu.com/shop/ss-papadopulos-associates-inc/pest-conference-2009-proceedings-potomac-maryland-color/ebook/product-17380276.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b3f5e4b09e18fc023a43","contributors":{"authors":[{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":486597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":486598,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70118921,"text":"70118921 - 2010 - Forecasting weed distributions using climate data: a GIS early warning tool","interactions":[],"lastModifiedDate":"2014-07-31T10:36:21","indexId":"70118921","displayToPublicDate":"2010-01-01T10:28:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting weed distributions using climate data: a GIS early warning tool","docAbstract":"The number of invasive exotic plant species establishing in the United States is continuing to rise. When prevention \nof exotic species from entering into a country fails at the national level and the species establishes, reproduces, \nspreads, and becomes invasive, the most successful action at a local level is early detection followed eradication. \nWe have developed a simple geographic information system (GIS) analysis for developing watch lists for early \ndetection of invasive exotic plants that relies upon currently available species distribution data coupled with \nenvironmental data to aid in describing coarse-scale potential distributions. This GIS analysis tool develops \nenvironmental envelopes for species based upon the known distribution of a species thought to be invasive and \nrepresents the first approximation of its potential habitat while the necessary data are collected to perform more in-depth analyses. To validate this method we looked at a time series of species distributions for 66 species in Pacific \nNorthwest, and northern Rocky Mountain counties. The time series analysis presented here did select counties that \nthe invasive exotic weeds invaded in subsequent years, showing that this technique could be useful in developing \nwatch lists for the spread of particular exotic species. We applied this same habitat-matching model based upon \nbioclimaric envelopes to 100 invasive exotics with various levels of known distributions within continental U.S. \ncounties. For species with climatically limited distributions, county watch lists describe county-specific vulnerability \nto invasion. Species with matching habitats in a county would be added to that county's list. These watch lists can \ninfluence management decisions for early warning, control prioritization, and targeted research to determine specific \nlocations within vulnerable counties. This tool provides useful information for rapid assessment of the potential \ndistribution based upon climate envelopes of current distributions for new invasive exotic species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Invasive Plant Science and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Weed Science Society of America","publisherLocation":"Lawrence, KS","doi":"10.1614/IPSM-08-073.1","usgsCitation":"Jarnevich, C.S., Holcombe, T.R., Barnett, D., Stohlgren, T.J., and Kartesz, J.T., 2010, Forecasting weed distributions using climate data: a GIS early warning tool: Invasive Plant Science and Management, v. 3, no. 4, p. 365-375, https://doi.org/10.1614/IPSM-08-073.1.","productDescription":"11 p.","startPage":"365","endPage":"375","numberOfPages":"11","costCenters":[],"links":[{"id":475770,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1614/IPSM-08-073.1","text":"External Repository"},{"id":291475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291474,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1614/IPSM-08-073.1"}],"volume":"3","issue":"4","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"53db5843e4b0fba533fa357e","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holcombe, Tracy R. holcombet@usgs.gov","contributorId":3694,"corporation":false,"usgs":true,"family":"Holcombe","given":"Tracy","email":"holcombet@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnett, David T.","contributorId":86234,"corporation":false,"usgs":true,"family":"Barnett","given":"David T.","affiliations":[],"preferred":false,"id":497494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kartesz, John T.","contributorId":54128,"corporation":false,"usgs":true,"family":"Kartesz","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":497493,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70049350,"text":"70049350 - 2010 - Measurement-derived heat-budget approaches for simulating coastal wetland temperature with a hydrodynamic model","interactions":[],"lastModifiedDate":"2013-11-12T10:26:51","indexId":"70049350","displayToPublicDate":"2010-01-01T10:20:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Measurement-derived heat-budget approaches for simulating coastal wetland temperature with a hydrodynamic model","docAbstract":"Numerical modeling is needed to predict environmental temperatures, which affect a number of biota in southern Florida, U.S.A., such as the West Indian manatee (Trichechus manatus), which uses thermal basins for refuge from lethal winter cold fronts. To numerically simulate heat-transport through a dynamic coastal wetland region, an algorithm was developed for the FTLOADDS coupled hydrodynamic surface-water/ground-water model that uses formulations and coefficients suited to the coastal wetland thermal environment. In this study, two field sites provided atmospheric data to develop coefficients for the heat flux terms representing this particular study area. Several methods were examined to represent the heat-flux components used to compute temperature. A Dalton equation was compared with a Penman formulation for latent heat computations, producing similar daily-average temperatures. Simulation of heat-transport in the southern Everglades indicates that the model represents the daily fluctuation in coastal temperatures better than at inland locations; possibly due to the lack of information on the spatial variations in heat-transport parameters such as soil heat capacity and surface albedo. These simulation results indicate that the new formulation is suitable for defining the existing thermohydrologic system and evaluating the ecological effect of proposed restoration efforts in the southern Everglades of Florida.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-010-0053-7","usgsCitation":"Swain, E., and Decker, J., 2010, Measurement-derived heat-budget approaches for simulating coastal wetland temperature with a hydrodynamic model: Wetlands, v. 30, no. 3, p. 635-648, https://doi.org/10.1007/s13157-010-0053-7.","productDescription":"14 p.","startPage":"635","endPage":"648","numberOfPages":"14","ipdsId":"IP-004335","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":279002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279001,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-010-0053-7"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5212,24.85 ], [ -81.5212,25.8918 ], [ -80.3887,25.8918 ], [ -80.3887,24.85 ], [ -81.5212,24.85 ] ] ] } } ] }","volume":"30","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-05-04","publicationStatus":"PW","scienceBaseUri":"52835c1ee4b047efbbb4ae02","contributors":{"authors":[{"text":"Swain, Eric 0000-0001-7168-708X","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":23347,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","affiliations":[],"preferred":false,"id":486104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Decker, Jeremy","contributorId":99662,"corporation":false,"usgs":true,"family":"Decker","given":"Jeremy","affiliations":[],"preferred":false,"id":486105,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}