{"pageNumber":"1947","pageRowStart":"48650","pageSize":"25","recordCount":184617,"records":[{"id":70036480,"text":"70036480 - 2010 - Effects of coalbed natural gas development on fish assemblages in tributary streams of the Powder and Tongue rivers","interactions":[],"lastModifiedDate":"2012-03-12T17:22:04","indexId":"70036480","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of coalbed natural gas development on fish assemblages in tributary streams of the Powder and Tongue rivers","docAbstract":"1. Extraction of coalbed natural gas (CBNG) often results in disposal of large quantities of CBNG product water, which may affect aquatic ecosystems. We evaluated the effects of CBNG development on fish assemblages in tributary streams of the Powder and Tongue rivers. We used treatment and control, impact versus reference sites comparisons, surveys of CBNG product-water streams and in situ fish survival approaches to determine if CBNG development affected fish assemblages.2. Several of our results suggested that CBNG development did not affect fish assemblages. Species richness and index of biotic integrity (IBI) scores were similar in streams with and streams without CBNG development, and overall biotic integrity was not related to the number or density of CBNG wells. Fish occurred in one stream that was composed largely or entirely of CBNG product water. Sentinel fish survived in cages at treatment sites where no or few fish were captured, suggesting that factors such as lack of stream connectivity rather than water quality limited fish abundance at these sites. Fish species richness did not differ significantly from 1994 to 2006 in comparisons of CBNG-developed and undeveloped streams. Biotic integrity declined from 1994 to 2006; however, declines occurred at both impact and reference sites, possibly because of long-term drought.3. Some evidence suggested that CBNG development negatively affected fish assemblages, or may do so over time. Specific conductivity was on average higher in treatment streams and was negatively related to biotic integrity. Four IBI species richness metrics were negatively correlated with the number or density of CBNG wells in the catchment above sampling sites. Bicarbonate, one of the primary ions in product water, was significantly higher in developed streams and may have limited abundance of longnose dace (Rhinichthys cataractae). Total dissolved solids, alkalinity, magnesium and sulphate were significantly higher in developed streams.4. Biological monitoring conducted before the development of CBNG, and continuing through the life of development and reclamation, together with data on the quantity, quality and fate of CBNG product water will allow robust assessment of potential effects of future CBNG development worldwide. ?? 2010 Blackwell Publishing Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2427.2010.02480.x","issn":"00465070","usgsCitation":"Davis, W., Bramblett, R., and Zale, A., 2010, Effects of coalbed natural gas development on fish assemblages in tributary streams of the Powder and Tongue rivers: Freshwater Biology, v. 55, no. 12, p. 2612-2625, https://doi.org/10.1111/j.1365-2427.2010.02480.x.","startPage":"2612","endPage":"2625","numberOfPages":"14","costCenters":[],"links":[{"id":218264,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2427.2010.02480.x"},{"id":246260,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"12","noUsgsAuthors":false,"publicationDate":"2010-08-24","publicationStatus":"PW","scienceBaseUri":"505a06b6e4b0c8380cd513ab","contributors":{"authors":[{"text":"Davis, W.N.","contributorId":107543,"corporation":false,"usgs":true,"family":"Davis","given":"W.N.","email":"","affiliations":[],"preferred":false,"id":456344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bramblett, R.G.","contributorId":76576,"corporation":false,"usgs":true,"family":"Bramblett","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":456343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, A.V.","contributorId":15793,"corporation":false,"usgs":true,"family":"Zale","given":"A.V.","affiliations":[],"preferred":false,"id":456342,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035269,"text":"70035269 - 2010 - A quarter century of declining suspended sediment fluxes in the Mississippi River and the effect of the 1993 flood","interactions":[],"lastModifiedDate":"2012-03-12T17:21:55","indexId":"70035269","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"A quarter century of declining suspended sediment fluxes in the Mississippi River and the effect of the 1993 flood","docAbstract":"Annual fluxes, flow-weighted concentrations and linear least squares trendline calculations for a number of long-term Mississippi River Basin (MRB) sampling sites covering 1981 through 2007, whilst somewhat 'noisy', display long-term patterns of decline. Annual flow-weighted concentration plots display the same long-term patterns of decline, but are less noisy because they reduce/eliminate variations due to interannual discharge differences. The declines appear greatest in the middle MRB, but also are evident elsewhere. The pattern for the lower Ohio River differs and may reflect ongoing construction at the Olmsted lock and dam that began in 1993 and currently is ongoing. The 'Great Flood of 1993' appears to have superimposed a step function (a sharp drop) on the long-term rate of decline in suspended sediment concentrations (SSC), annual fluxes and flow-weighted concentrations in the middle MRB at St Louis and Thebes, Missouri and Vicksburg, Mississippi, and in the lower MRB at St Francisville, Louisiana. Evidence for a step function at other sites is less substantial, but may have occurred. The step function appears to have resulted from losses in available (erodible) sediment, rather than to a reduction in discharge; hence, the MRB appears to be supply limited rather than discharge limited. These evaluations support the need for daily discharge and SSC data collections in the MRB to better address questions regarding long-term trends in sediment-related issues. This is apparent when the results for the Mississippi River at Thebes and St Louis sites are compared with those from other MRB sites where intensive (daily) data collections are lacking. ?? 2009 John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/hyp.7425","issn":"08856087","usgsCitation":"Horowitz, A.J., 2010, A quarter century of declining suspended sediment fluxes in the Mississippi River and the effect of the 1993 flood: Hydrological Processes, v. 24, no. 1, p. 13-34, https://doi.org/10.1002/hyp.7425.","startPage":"13","endPage":"34","numberOfPages":"22","costCenters":[],"links":[{"id":243038,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215248,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.7425"}],"volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-08-18","publicationStatus":"PW","scienceBaseUri":"5059e526e4b0c8380cd46b74","contributors":{"authors":[{"text":"Horowitz, A. J.","contributorId":102066,"corporation":false,"usgs":true,"family":"Horowitz","given":"A.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":449964,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034223,"text":"70034223 - 2010 - Effects of spatial habitat heterogeneity on habitat selection and annual fecundity for a migratory forest songbird","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034223","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of spatial habitat heterogeneity on habitat selection and annual fecundity for a migratory forest songbird","docAbstract":"Understanding how spatial habitat patterns influence abundance and dynamics of animal populations is a primary goal in landscape ecology. We used an information-theoretic approach to investigate the association between habitat patterns at multiple spatial scales and demographic patterns for black-throated blue warblers (Dendroica caerulescens) at 20 study sites in west-central Vermont, USA from 2002 to 2005. Sites were characterized by: (1) territory-scale shrub density, (2) patch-scale shrub density occurring within 25 ha of territories, and (3) landscape-scale habitat patterns occurring within 5 km radius extents of territories. We considered multiple population parameters including abundance, age ratios, and annual fecundity. Territory-scale shrub density was most important for determining abundance and age ratios, but landscape-scale habitat structure strongly influenced reproductive output. Sites with higher territory-scale shrub density had higher abundance, and were more likely to be occupied by older, more experienced individuals compared to sites with lower shrub density. However, annual fecundity was higher on sites located in contiguously forested landscapes where shrub density was lower than the fragmented sites. Further, effects of habitat pattern at one spatial scale depended on habitat conditions at different scales. For example, abundance increased with increasing territory-scale shrub density, but this effect was much stronger in fragmented landscapes than in contiguously forested landscapes. These results suggest that habitat pattern at different spatial scales affect demographic parameters in different ways, and that effects of habitat patterns at one spatial scale depends on habitat conditions at other scales. ?? Springer Science+Business Media B.V. 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Landscape Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10980-009-9405-1","issn":"09212973","usgsCitation":"Cornell, K., and Donovan, T., 2010, Effects of spatial habitat heterogeneity on habitat selection and annual fecundity for a migratory forest songbird: Landscape Ecology, v. 25, no. 1, p. 109-122, https://doi.org/10.1007/s10980-009-9405-1.","startPage":"109","endPage":"122","numberOfPages":"14","costCenters":[],"links":[{"id":244583,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216697,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10980-009-9405-1"}],"volume":"25","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-09-17","publicationStatus":"PW","scienceBaseUri":"505a07d5e4b0c8380cd5186f","contributors":{"authors":[{"text":"Cornell, K.L.","contributorId":98142,"corporation":false,"usgs":true,"family":"Cornell","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":444694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, T.M.","contributorId":91602,"corporation":false,"usgs":true,"family":"Donovan","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":444693,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035547,"text":"70035547 - 2010 - Importance of coastal change variables in determining vulnerability to sea- and lake-level change","interactions":[],"lastModifiedDate":"2012-03-12T17:21:49","indexId":"70035547","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Importance of coastal change variables in determining vulnerability to sea- and lake-level change","docAbstract":"In 2001, the U.S. Geological Survey began conducting scientific assessments of coastal vulnerability to potential future sea- and lake-level changes in 22 National Park Service sea- and lakeshore units. Coastal park units chosen for the assessment included a variety of geological and physical settings along the U.S. Atlantic, Pacific, Gulf of Mexico, Gulf of Alaska, Caribbean, and Great Lakes shorelines. This research is motivated by the need to understand and anticipate coastal changes caused by accelerating sea-level rise, as well as lake-level changes caused by climate change, over the next century. The goal of these assessments is to provide information that can be used to make long-term (decade to century) management decisions. Here we analyze the results of coastal vulnerability assessments for several coastal national park units. Index-based assessments quantify the likelihood that physical changes may occur based on analysis of the following variables: tidal range, ice cover, wave height, coastal slope, historical shoreline change rate, geomorphology, and historical rate of relative sea- or lake-level change. This approach seeks to combine a coastal system's susceptibility to change with its natural ability to adapt to changing environmental conditions, and it provides a measure of the system's potential vulnerability to the effects of sea- or lake-level change. Assessments for 22 park units are combined to evaluate relationships among the variables used to derive the index. Results indicate that Atlantic and Gulf of Mexico parks have the highest vulnerability rankings relative to other park regions. A principal component analysis reveals that 99% of the index variability can be explained by four variables: geomorphology, regional coastal slope, water-level change rate, and mean significant wave height. Tidal range, ice cover, and historical shoreline change are not as important when the index is evaluated at large spatial scales (thousands of kilometers). ?? 2010 Coastal Education and Research Foundation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2112/08-1102.1","issn":"07490208","usgsCitation":"Pendleton, E., Thieler, E., and Williams, S., 2010, Importance of coastal change variables in determining vulnerability to sea- and lake-level change: Journal of Coastal Research, v. 26, no. 1, p. 176-183, https://doi.org/10.2112/08-1102.1.","startPage":"176","endPage":"183","numberOfPages":"8","costCenters":[],"links":[{"id":475799,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.2112/08-1102.1","text":"External Repository"},{"id":216451,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/08-1102.1"},{"id":244322,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3937e4b0c8380cd61849","contributors":{"authors":[{"text":"Pendleton, E.A.","contributorId":9742,"corporation":false,"usgs":true,"family":"Pendleton","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":451184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thieler, E.R. 0000-0003-4311-9717","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":93082,"corporation":false,"usgs":true,"family":"Thieler","given":"E.R.","affiliations":[],"preferred":false,"id":451186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, S.J.","contributorId":85203,"corporation":false,"usgs":true,"family":"Williams","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":451185,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035550,"text":"70035550 - 2010 - Ensemble habitat mapping of invasive plant species","interactions":[],"lastModifiedDate":"2012-03-12T17:21:48","indexId":"70035550","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3300,"text":"Risk Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Ensemble habitat mapping of invasive plant species","docAbstract":"Ensemble species distribution models combine the strengths of several species environmental matching models, while minimizing the weakness of any one model. Ensemble models may be particularly useful in risk analysis of recently arrived, harmful invasive species because species may not yet have spread to all suitable habitats, leaving species-environment relationships difficult to determine. We tested five individual models (logistic regression, boosted regression trees, random forest, multivariate adaptive regression splines (MARS), and maximum entropy model or Maxent) and ensemble modeling for selected nonnative plant species in Yellowstone and Grand Teton National Parks, Wyoming; Sequoia and Kings Canyon National Parks, California, and areas of interior Alaska. The models are based on field data provided by the park staffs, combined with topographic, climatic, and vegetation predictors derived from satellite data. For the four invasive plant species tested, ensemble models were the only models that ranked in the top three models for both field validation and test data. Ensemble models may be more robust than individual species-environment matching models for risk analysis. ?? 2010 Society for Risk Analysis.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Risk Analysis","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1539-6924.2009.01343.x","issn":"02724332","usgsCitation":"Stohlgren, T., Ma, P., Kumar, S., Rocca, M., Morisette, J., Jarnevich, C., and Benson, N., 2010, Ensemble habitat mapping of invasive plant species: Risk Analysis, v. 30, no. 2, p. 224-235, https://doi.org/10.1111/j.1539-6924.2009.01343.x.","startPage":"224","endPage":"235","numberOfPages":"12","costCenters":[],"links":[{"id":475842,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1539-6924.2009.01343.x","text":"Publisher Index Page"},{"id":216505,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1539-6924.2009.01343.x"},{"id":244382,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a097ee4b0c8380cd51f3d","contributors":{"authors":[{"text":"Stohlgren, T.J.","contributorId":7217,"corporation":false,"usgs":true,"family":"Stohlgren","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":451195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ma, P.","contributorId":53194,"corporation":false,"usgs":true,"family":"Ma","given":"P.","email":"","affiliations":[],"preferred":false,"id":451197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kumar, S.","contributorId":89843,"corporation":false,"usgs":true,"family":"Kumar","given":"S.","affiliations":[],"preferred":false,"id":451200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rocca, M.","contributorId":95300,"corporation":false,"usgs":true,"family":"Rocca","given":"M.","email":"","affiliations":[],"preferred":false,"id":451201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morisette, J.T.","contributorId":57029,"corporation":false,"usgs":true,"family":"Morisette","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":451199,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jarnevich, C. S.","contributorId":54932,"corporation":false,"usgs":true,"family":"Jarnevich","given":"C. S.","affiliations":[],"preferred":false,"id":451198,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Benson, N.","contributorId":38238,"corporation":false,"usgs":true,"family":"Benson","given":"N.","affiliations":[],"preferred":false,"id":451196,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70035548,"text":"70035548 - 2010 - Wintering area DDE source to migratory white-faced ibis revealed by satellite telemetry and prey sampling","interactions":[],"lastModifiedDate":"2018-10-20T09:21:46","indexId":"70035548","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Wintering area DDE source to migratory white-faced ibis revealed by satellite telemetry and prey sampling","docAbstract":"<p>Locations of contaminant exposure for nesting migratory species are difficult to fully understand because of possible additional sources encountered during migration or on the wintering grounds. A portion of the migratory white-faced ibis (Plegadis chihi) nesting at Carson Lake, Nevada continues to be exposed to dichloro-diphenyldichloro-ethylene (DDE) with no change, which is unusual, observed in egg concentrations between 1985 and 2000. About 45-63% of the earliest nesting segment shows reduced reproductive success correlated with elevated egg concentrations of &gt;4 ??g/g wet weight (ww). Local prey (primarily earthworms) near nests contained little DDE so we tracked the migration and wintering movements of 20 adult males during 2000-2004 to determine the possible source. At various wintering sites, we found a correlation (r <sup>2</sup> = 0.518, P = 0.0125, N = 11) between DDE in earthworm composites and DDE in blood plasma of white-faced ibis wintering there, although the plasma was collected on their breeding grounds soon after arrival. The main source of DDE was wintering areas in the Mexicali Valley of Baja California Norte, Mexico, and probably the adjacent Imperial Valley, California, USA. This unusual continuing DDE problem for white-faced ibis is associated with: the long-term persistence in soil of DDE; the earthworms' ability to bioconcentrate DDE from soil; the proclivity of white-faced ibis to feed on earthworms in agricultural fields; the species's extreme sensitivity to DDE in their eggs; and perhaps its life history strategy of being a \"capital breeder\". We suggest surveying and sampling white-faced ibis eggs at nesting colonies, especially at Carson Lake, to monitor the continuing influence of DDE.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecotoxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10646-009-0400-8","issn":"09639292","usgsCitation":"Yates, M., Fuller, M.R., Henny, C.J., Seegar, W., and Garcia, J.H., 2010, Wintering area DDE source to migratory white-faced ibis revealed by satellite telemetry and prey sampling: Ecotoxicology, v. 19, no. 1, p. 153-162, https://doi.org/10.1007/s10646-009-0400-8.","productDescription":"10 p.","startPage":"153","endPage":"162","numberOfPages":"10","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":244352,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216481,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10646-009-0400-8"}],"volume":"19","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-08-21","publicationStatus":"PW","scienceBaseUri":"505bd166e4b08c986b32f3e3","contributors":{"authors":[{"text":"Yates, M.A.","contributorId":79593,"corporation":false,"usgs":true,"family":"Yates","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":451190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Mark R. 0000-0001-7459-1729 mark_fuller@usgs.gov","orcid":"https://orcid.org/0000-0001-7459-1729","contributorId":2296,"corporation":false,"usgs":true,"family":"Fuller","given":"Mark","email":"mark_fuller@usgs.gov","middleInitial":"R.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":451189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henny, Charles J. 0000-0001-7474-350X hennyc@usgs.gov","orcid":"https://orcid.org/0000-0001-7474-350X","contributorId":3461,"corporation":false,"usgs":true,"family":"Henny","given":"Charles","email":"hennyc@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":451188,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seegar, W.S.","contributorId":11301,"corporation":false,"usgs":true,"family":"Seegar","given":"W.S.","email":"","affiliations":[],"preferred":false,"id":451187,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garcia, Jorge H.","contributorId":91714,"corporation":false,"usgs":true,"family":"Garcia","given":"Jorge","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":451191,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034290,"text":"70034290 - 2010 - Modeling the relations between flow regime components, species traits, and spawning success of fishes in warmwater streams","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034290","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the relations between flow regime components, species traits, and spawning success of fishes in warmwater streams","docAbstract":"Modifications to stream hydrologic regimes can have a profound influence on the dynamics of their fish populations. Using hierarchical linear models, we examined the relations between flow regime and young-of-year fish density using fish sampling and discharge data from three different warmwater streams in Illinois, Alabama, and Georgia. We used an information theoretic approach to evaluate the relative support for models describing hypothesized influences of five flow regime components representing: short-term high and low flows; short-term flow stability; and long-term mean flows and flow stability on fish reproductive success during fish spawning and rearing periods. We also evaluated the influence of ten fish species traits on fish reproductive success. Species traits included spawning duration, reproductive strategy, egg incubation rate, swimming locomotion morphology, general habitat preference, and food habits. Model selection results indicated that young-of-year fish density was positively related to short-term high flows during the spawning period and negatively related to flow variability during the rearing period. However, the effect of the flow regime components varied substantially among species, but was related to species traits. The effect of short-term high flows on the reproductive success was lower for species that broadcast their eggs during spawning. Species with cruiser swimming locomotion morphologies (e.g., Micropterus) also were more vulnerable to variable flows during the rearing period. Our models provide insight into the conditions and timing of flows that influence the reproductive success of warmwater stream fishes and may guide decisions related to stream regulation and management. ?? 2010 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00267-010-9511-5","issn":"0364152X","usgsCitation":"Craven, S., Peterson, J., Freeman, M.C., Kwak, T., and Irwin, E., 2010, Modeling the relations between flow regime components, species traits, and spawning success of fishes in warmwater streams: Environmental Management, v. 46, no. 2, p. 181-194, https://doi.org/10.1007/s00267-010-9511-5.","startPage":"181","endPage":"194","numberOfPages":"14","costCenters":[],"links":[{"id":216765,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-010-9511-5"},{"id":244652,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-06-18","publicationStatus":"PW","scienceBaseUri":"505a5c4ee4b0c8380cd6fbb5","contributors":{"authors":[{"text":"Craven, S.W.","contributorId":50009,"corporation":false,"usgs":true,"family":"Craven","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":445104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, J.T.","contributorId":30170,"corporation":false,"usgs":true,"family":"Peterson","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":445103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Mary C. 0000-0001-7615-6923","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":99659,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":445106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kwak, T.J.","contributorId":104236,"corporation":false,"usgs":true,"family":"Kwak","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":445107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irwin, E.","contributorId":95721,"corporation":false,"usgs":true,"family":"Irwin","given":"E.","email":"","affiliations":[],"preferred":false,"id":445105,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043146,"text":"70043146 - 2010 - Anthropogenic influence on recent bathymetric change in west-central San Francisco Bay","interactions":[],"lastModifiedDate":"2021-02-17T13:45:55.927734","indexId":"70043146","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic influence on recent bathymetric change in west-central San Francisco Bay","docAbstract":"<p><span>Two multibeam sonar surveys of west-central San Francisco Bay, California, were conducted in 1997 and 2008. Bathymetric change analysis between the two surveys indicates a loss of 14.1 million cubic meters (-3.1 cm/yr) of sediment during this time period, representing an approximately three-fold acceleration of the rate that was observed from prior depth change analysis from 1947 to 1979 for all of Central Bay, using more spatially coarse National Ocean Service (NOS) soundings. The portions of the overlapping survey areas between 1997 and 2008 designated as aggregate mining lease sites lost sediment at five times the rate of the remainder of west-central San Francisco Bay. Despite covering only 28% of the analysis area, volume change within leasing areas accounted for 9.2 million cubic meters of sediment loss, while the rest of the area lost 4.9 million cubic meters of sediment. The uncertainty of this recent analysis is more tightly constrained due to more stringent controls on vertical and horizontal position via tightly coupled, inertially aided differential Global Positioning Systems (GPS) solutions for survey vessel trajectory that virtually eliminate inaccuracies from traditional tide modeling and vessel motion artifacts. Further, quantification of systematic depth measurement error can now be calculated through comparison of static surfaces (e.g., bedrock) between surveys using seafloor habitat maps based on acoustic backscatter measurements and ground-truthing with grab samples and underwater video. Sediment loss in the entire San Francisco Bay Coastal System during the last half-century, as estimated from a series of bathymetric change studies, is 240 million cubic meters, and most of this is believed to be coarse sediment (i.e., sand and gravel) from Central Bay and the San Francisco Bar, which is likely to limit the sand supply to adjacent, open-coast beaches. This hypothesis is supported by a calibrated numerical model in a related study that indicates that there is a potential net export of sand-sized sediment across the Golden Gate, suggesting that a reduction in the supply of sand-sized sediment within west-central San Francisco Bay will limit transport to the outer coast.</span></p>","language":"English","publisher":"John Muir Institute of the Environment","doi":"10.15447/sfews.2010v8iss3art2","usgsCitation":"Barnard, P.L., and Kvitek, R.G., 2010, Anthropogenic influence on recent bathymetric change in west-central San Francisco Bay: San Francisco Estuary and Watershed Science, v. 8, no. 3, 13 p., https://doi.org/10.15447/sfews.2010v8iss3art2.","productDescription":"13 p.","numberOfPages":"13","additionalOnlineFiles":"N","ipdsId":"IP-017582","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488076,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2010v8iss3art2","text":"Publisher Index Page"},{"id":383300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.590942,37.397437 ], [ -122.590942,38.277001 ], [ -121.700363,38.277001 ], [ -121.700363,37.397437 ], [ -122.590942,37.397437 ] ] ] } } ] }","volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-09-22","publicationStatus":"PW","scienceBaseUri":"515bfddfe4b075500ee5ca1a","contributors":{"authors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":2880,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":473039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kvitek, Rikk G.","contributorId":107804,"corporation":false,"usgs":true,"family":"Kvitek","given":"Rikk","email":"","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":473040,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044163,"text":"70044163 - 2010 - Potential economic benefits of adapting agricultural production systems to future climate change","interactions":[],"lastModifiedDate":"2016-08-15T20:18:20","indexId":"70044163","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Potential economic benefits of adapting agricultural production systems to future climate change","docAbstract":"<p>Potential economic impacts of future climate change on crop enterprise net returns and annual net farm income (NFI) are evaluated for small and large representative farms in Flathead Valley in Northwest Montana. Crop enterprise net returns and NFI in an historical climate period (1960&ndash;2005) and future climate period (2006&ndash;2050) are compared when agricultural production systems (APSs) are adapted to future climate change. Climate conditions in the future climate period are based on the A1B, B1, and A2 CO<sub>2</sub> emission scenarios from the Intergovernmental Panel on Climate Change Fourth Assessment Report. Steps in the evaluation include: (1) specifying crop enterprises and APSs (i.e., combinations of crop enterprises) in consultation with locals producers; (2) simulating crop yields for two soils, crop prices, crop enterprises costs, and NFIs for APSs; (3) determining the dominant APS in the historical and future climate periods in terms of NFI; and (4) determining whether NFI for the dominant APS in the historical climate period is superior to NFI for the dominant APS in the future climate period. Crop yields are simulated using the Environmental/Policy Integrated Climate (EPIC) model and dominance comparisons for NFI are based on the stochastic efficiency with respect to a function (SERF) criterion. Probability distributions that best fit the EPIC-simulated crop yields are used to simulate 100 values for crop yields for the two soils in the historical and future climate periods. Best-fitting probability distributions for historical inflation-adjusted crop prices and specified triangular probability distributions for crop enterprise costs are used to simulate 100 values for crop prices and crop enterprise costs. Averaged over all crop enterprises, farm sizes, and soil types, simulated net return per ha averaged over all crop enterprises decreased 24% and simulated mean NFI for APSs decreased 57% between the historical and future climate periods. Although adapting APSs to future climate change is advantageous (i.e., NFI with adaptation is superior to NFI without adaptation based on SERF), in six of the nine cases in which adaptation is advantageous, NFI with adaptation in the future climate period is inferior to NFI in the historical climate period. Therefore, adaptation of APSs to future climate change in Flathead Valley is insufficient to offset the adverse impacts on NFI of such change.</p>","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00267-010-9427-0","usgsCitation":"Fagre, D.B., Pederson, G., Bengtson, L.E., Prato, T., Qui, Z., and Williams, J.R., 2010, Potential economic benefits of adapting agricultural production systems to future climate change: Environmental Management, v. 45, no. 3, p. 577-589, https://doi.org/10.1007/s00267-010-9427-0.","productDescription":"13 p.","startPage":"577","endPage":"589","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013504","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":270128,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","county":"Flathhead","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.0208,47.5998 ], [ -115.0208,49.0011 ], [ -112.8857,49.0011 ], [ -112.8857,47.5998 ], [ -115.0208,47.5998 ] ] ] } } ] }","volume":"45","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-01-28","publicationStatus":"PW","scienceBaseUri":"5152c3b1e4b01197b08e9cee","contributors":{"authors":[{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pederson, Gregory","contributorId":50058,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","affiliations":[],"preferred":false,"id":474945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bengtson, Lindsey E.","contributorId":28497,"corporation":false,"usgs":true,"family":"Bengtson","given":"Lindsey","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":474944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prato, Tony","contributorId":97394,"corporation":false,"usgs":true,"family":"Prato","given":"Tony","affiliations":[],"preferred":false,"id":474948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Qui, Zeyuan","contributorId":66561,"corporation":false,"usgs":true,"family":"Qui","given":"Zeyuan","email":"","affiliations":[],"preferred":false,"id":474946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Jimmie R.","contributorId":89776,"corporation":false,"usgs":true,"family":"Williams","given":"Jimmie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474947,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035424,"text":"70035424 - 2010 - Red imported fire ant impacts on upland arthropods in Southern Mississippi","interactions":[],"lastModifiedDate":"2018-01-12T12:08:05","indexId":"70035424","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Red imported fire ant impacts on upland arthropods in Southern Mississippi","docAbstract":"Red imported fire ants (Solenopsis invicta) have negative impacts on a broad array of invertebrate species. We investigated the impacts of fire ants on the upland arthropod community on 20???40 ha study sites in southern Mississippi. Study sites were sampled from 19972000 before, during, and after fire ant bait treatments to reduce fire ant populations. Fire ant abundance was assessed with bait transects on all sites, and fire ant population indices were estimated on a subset of study sites. Species richness and diversity of other ant species was also assessed from bait transects. Insect biomass and diversity was determined from light trap samples. Following treatments, fire ant abundance and population indices were significantly reduced, and ant species diversity and richness were greater on treated sites. Arthropod biomass, species diversity and species richness estimated from light trap samples were negatively correlated with fire ant abundance, but there were no observable treatment effects. Solenopsis invicta has the potential to negatively impact native arthropod communities resulting in a potential loss of both species and function.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Midland Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1674/0003-0031-163.1.54","issn":"00030031","usgsCitation":"Epperson, D., and Allen, C.R., 2010, Red imported fire ant impacts on upland arthropods in Southern Mississippi: American Midland Naturalist, v. 163, no. 1, p. 54-63, https://doi.org/10.1674/0003-0031-163.1.54.","startPage":"54","endPage":"63","numberOfPages":"10","costCenters":[],"links":[{"id":243177,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215378,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1674/0003-0031-163.1.54"}],"volume":"163","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a379e4b0e8fec6cdb8a5","contributors":{"authors":[{"text":"Epperson, D.M. 0000-0002-0567-4915","orcid":"https://orcid.org/0000-0002-0567-4915","contributorId":95246,"corporation":false,"usgs":true,"family":"Epperson","given":"D.M.","affiliations":[],"preferred":false,"id":450593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":450594,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034496,"text":"70034496 - 2010 - First Results of the Regional Earthquake Likelihood Models Experiment","interactions":[],"lastModifiedDate":"2012-03-12T17:21:40","indexId":"70034496","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"First Results of the Regional Earthquake Likelihood Models Experiment","docAbstract":"The ability to successfully predict the future behavior of a system is a strong indication that the system is well understood. Certainly many details of the earthquake system remain obscure, but several hypotheses related to earthquake occurrence and seismic hazard have been proffered, and predicting earthquake behavior is a worthy goal and demanded by society. Along these lines, one of the primary objectives of the Regional Earthquake Likelihood Models (RELM) working group was to formalize earthquake occurrence hypotheses in the form of prospective earthquake rate forecasts in California. RELM members, working in small research groups, developed more than a dozen 5-year forecasts; they also outlined a performance evaluation method and provided a conceptual description of a Testing Center in which to perform predictability experiments. Subsequently, researchers working within the Collaboratory for the Study of Earthquake Predictability (CSEP) have begun implementing Testing Centers in different locations worldwide, and the RELM predictability experiment-a truly prospective earthquake prediction effort-is underway within the U. S. branch of CSEP. The experiment, designed to compare time-invariant 5-year earthquake rate forecasts, is now approximately halfway to its completion. In this paper, we describe the models under evaluation and present, for the first time, preliminary results of this unique experiment. While these results are preliminary-the forecasts were meant for an application of 5 years-we find interesting results: most of the models are consistent with the observation and one model forecasts the distribution of earthquakes best. We discuss the observed sample of target earthquakes in the context of historical seismicity within the testing region, highlight potential pitfalls of the current tests, and suggest plans for future revisions to experiments such as this one. ?? 2010 The Author(s).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Pure and Applied Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00024-010-0081-5","issn":"00334553","usgsCitation":"Schorlemmer, D., Zechar, J., Werner, M., Field, E.H., Jackson, D., and Jordan, T., 2010, First Results of the Regional Earthquake Likelihood Models Experiment: Pure and Applied Geophysics, v. 167, no. 8-9, p. 859-876, https://doi.org/10.1007/s00024-010-0081-5.","startPage":"859","endPage":"876","numberOfPages":"18","costCenters":[],"links":[{"id":487850,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00024-010-0081-5","text":"Publisher Index Page"},{"id":243436,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215620,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00024-010-0081-5"}],"volume":"167","issue":"8-9","noUsgsAuthors":false,"publicationDate":"2010-05-11","publicationStatus":"PW","scienceBaseUri":"505a104fe4b0c8380cd53bff","contributors":{"authors":[{"text":"Schorlemmer, D.","contributorId":30468,"corporation":false,"usgs":true,"family":"Schorlemmer","given":"D.","affiliations":[],"preferred":false,"id":446073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zechar, J.D.","contributorId":73432,"corporation":false,"usgs":true,"family":"Zechar","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":446076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Werner, M.J.","contributorId":31224,"corporation":false,"usgs":true,"family":"Werner","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":446074,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Field, E. H.","contributorId":86915,"corporation":false,"usgs":true,"family":"Field","given":"E.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":446078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, D.D.","contributorId":41011,"corporation":false,"usgs":true,"family":"Jackson","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":446075,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jordan, T.H.","contributorId":83320,"corporation":false,"usgs":true,"family":"Jordan","given":"T.H.","affiliations":[],"preferred":false,"id":446077,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034217,"text":"70034217 - 2010 - Emplacement of the youngest flood lava on Mars: A short, turbulent story","interactions":[],"lastModifiedDate":"2018-12-05T08:28:15","indexId":"70034217","displayToPublicDate":"2010-01-01T00:00:00","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":"Emplacement of the youngest flood lava on Mars: A short, turbulent story","docAbstract":"<p style=\"text-align: justify;\" data-mce-style=\"text-align: justify;\">Recently acquired data from the High Resolution Imaging Science Experiment (HiRISE), Context (CTX) imager, and Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) onboard the Mars Reconnaissance Orbiter (MRO) spacecraft were used to investigate the emplacement of the youngest flood-lava flow on Mars. Careful mapping finds that the Athabasca Valles flood lava is the product of a single eruption, and it covers 250,000 km<sup>2</sup> of western Elysium Planitia with an estimated 5000-7500 km<sup>3</sup> of mafic or ultramafic lava. Calculations utilizing topographic data enhanced with MRO observations to refine the dimensions of the channel system show that this flood lava was emplaced turbulently over a period of only a few to several weeks. This is the first well-documented example of a turbulently emplaced flood lava anywhere in the Solar System. However, MRO data suggest that this same process may have operated in a number of martian channel systems. The magnitude and dynamics of these lava floods are similar to the aqueous floods that are generally believed to have eroded the channels, raising the intriguing possibility that mechanical erosion by lava could have played a role in their incision.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2009.09.011","issn":"00191035","usgsCitation":"Jaeger, W.L., Keszthelyi, L., Skinner, J., Milazzo, M.P., McEwen, A.S., Titus, T.N., Rosiek, M.R., Galuszka, D.M., Howington-Kraus, E., Kirk, R.L., and the HiRISE TEam, 2010, Emplacement of the youngest flood lava on Mars: A short, turbulent story: Icarus, v. 205, no. 1, p. 230-243, https://doi.org/10.1016/j.icarus.2009.09.011.","productDescription":"14 p.","startPage":"230","endPage":"243","numberOfPages":"14","costCenters":[{"id":131,"text":"Astrogeology Science 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S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":444665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444672,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosiek, Mark R. mrosiek@usgs.gov","contributorId":824,"corporation":false,"usgs":true,"family":"Rosiek","given":"Mark","email":"mrosiek@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":444666,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Galuszka, Donna M. 0000-0003-1870-1182 dgaluszka@usgs.gov","orcid":"https://orcid.org/0000-0003-1870-1182","contributorId":3186,"corporation":false,"usgs":true,"family":"Galuszka","given":"Donna","email":"dgaluszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444669,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Howington-Kraus, Elpitha 0000-0001-5787-6554 ahowington@usgs.gov","orcid":"https://orcid.org/0000-0001-5787-6554","contributorId":2815,"corporation":false,"usgs":true,"family":"Howington-Kraus","given":"Elpitha","email":"ahowington@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444667,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444671,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"the HiRISE TEam","contributorId":127993,"corporation":true,"usgs":false,"organization":"the HiRISE TEam","id":750967,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70044084,"text":"70044084 - 2010 - Nodeomics: Pathogen detection in vertebrate lymph nodes using meta-transcriptomics","interactions":[],"lastModifiedDate":"2018-10-22T10:23:29","indexId":"70044084","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2978,"text":"PLoS","active":true,"publicationSubtype":{"id":10}},"title":"Nodeomics: Pathogen detection in vertebrate lymph nodes using meta-transcriptomics","docAbstract":"The ongoing emergence of human infections originating from wildlife highlights the need for better knowledge of the microbial community in wildlife species where traditional diagnostic approaches are limited. Here we evaluate the microbial biota in healthy mule deer (Odocoileus hemionus) by analyses of lymph node meta-transcriptomes. cDNA libraries from five individuals and two pools of samples were prepared from retropharyngeal lymph node RNA enriched for polyadenylated RNA and sequenced using Roche-454 Life Sciences technology. Protein-coding and 16S ribosomal RNA (rRNA) sequences were taxonomically profiled using protein and rRNA specific databases. Representatives of all bacterial phyla were detected in the seven libraries based on protein-coding transcripts indicating that viable microbiota were present in lymph nodes. Residents of skin and rumen, and those ubiquitous in mule deer habitat dominated classifiable bacterial species. Based on detection of both rRNA and protein-coding transcripts, we identified two new proteobacterial species; a Helicobacter closely related to Helicobacter cetorum in the Helicobacter pylori/Helicobacter acinonychis complex and an Acinetobacter related to Acinetobacter schindleri. Among viruses, a novel gamma retrovirus and other members of the Poxviridae and Retroviridae were identified. We additionally evaluated bacterial diversity by amplicon sequencing the hypervariable V6 region of 16S rRNA and demonstrate that overall taxonomic diversity is higher with the meta-transcriptomic approach. These data provide the most complete picture to date of the microbial diversity within a wildlife host. Our research advances the use of meta-transcriptomics to study microbiota in wildlife tissues, which will facilitate detection of novel organisms with pathogenic potential to human and animals.","language":"English","publisher":"PloS","doi":"10.1371/journal.pone.0013432","usgsCitation":"Wittekindt, N.E., Padhi, A., Schuster, S.C., Qi, J., Zhao, F., Tomsho, L.P., Kasson, L.R., Packard, M., Cross, P.C., and Poss, M., 2010, Nodeomics: Pathogen detection in vertebrate lymph nodes using meta-transcriptomics: PLoS, v. 5, no. 10, p. 1-10, https://doi.org/10.1371/journal.pone.0013432.","productDescription":"e13432; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-018323","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":489162,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0013432","text":"Publisher Index Page"},{"id":269666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269665,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0013432"}],"volume":"5","issue":"10","noUsgsAuthors":false,"publicationDate":"2010-10-18","publicationStatus":"PW","scienceBaseUri":"51483797e4b022dd171afea9","contributors":{"authors":[{"text":"Wittekindt, Nicola E.","contributorId":52056,"corporation":false,"usgs":true,"family":"Wittekindt","given":"Nicola","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":474804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Padhi, Abinash","contributorId":7154,"corporation":false,"usgs":true,"family":"Padhi","given":"Abinash","email":"","affiliations":[],"preferred":false,"id":474800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuster, Stephan C.","contributorId":28836,"corporation":false,"usgs":true,"family":"Schuster","given":"Stephan","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":474802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qi, Ji","contributorId":16248,"corporation":false,"usgs":true,"family":"Qi","given":"Ji","email":"","affiliations":[],"preferred":false,"id":474801,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhao, Fangqing","contributorId":97790,"corporation":false,"usgs":true,"family":"Zhao","given":"Fangqing","email":"","affiliations":[],"preferred":false,"id":474808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tomsho, Lynn P.","contributorId":44391,"corporation":false,"usgs":true,"family":"Tomsho","given":"Lynn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":474803,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kasson, Lindsay R.","contributorId":81384,"corporation":false,"usgs":true,"family":"Kasson","given":"Lindsay","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474806,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Packard, Michael","contributorId":90189,"corporation":false,"usgs":true,"family":"Packard","given":"Michael","email":"","affiliations":[],"preferred":false,"id":474807,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474799,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Poss, Mary","contributorId":79003,"corporation":false,"usgs":true,"family":"Poss","given":"Mary","email":"","affiliations":[],"preferred":false,"id":474805,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70034291,"text":"70034291 - 2010 - Current lineages of the epithelioma papulosum cyprini (EPC) cell line are contaminated with fathead minnow, Pimephales promelas, cells","interactions":[],"lastModifiedDate":"2016-12-27T14:19:27","indexId":"70034291","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Current lineages of the epithelioma papulosum cyprini (EPC) cell line are contaminated with fathead minnow, Pimephales promelas, cells","docAbstract":"Initially established from proliferative skin lesions of the common carp, Cyprinus carpio L., the epithelioma papulosum cyprini (EPC) cell line (Fijan, Sulimanovic, Bearzotti, Muzinic, Zwillenberg, Chilmonczyk, Vautherot & de Kinkelin 1983) has become one of the most widely used tools for research on fish viruses and the diagnosis of fish viral diseases.","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2761.2010.01165.x","issn":"01407775","usgsCitation":"Winton, J., Batts, W., DeKinkelin, P., LeBerre, M., Bremont, M., and Fijan, N., 2010, Current lineages of the epithelioma papulosum cyprini (EPC) cell line are contaminated with fathead minnow, Pimephales promelas, cells: Journal of Fish Diseases, v. 33, no. 8, p. 701-704, https://doi.org/10.1111/j.1365-2761.2010.01165.x.","productDescription":"4 p.","startPage":"701","endPage":"704","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":244653,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-07-06","publicationStatus":"PW","scienceBaseUri":"5059fd10e4b0c8380cd4e5fa","contributors":{"authors":[{"text":"Winton, J.","contributorId":55627,"corporation":false,"usgs":true,"family":"Winton","given":"J.","email":"","affiliations":[],"preferred":false,"id":445110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batts, W.","contributorId":76533,"corporation":false,"usgs":true,"family":"Batts","given":"W.","email":"","affiliations":[],"preferred":false,"id":445112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeKinkelin, P.","contributorId":82948,"corporation":false,"usgs":true,"family":"DeKinkelin","given":"P.","email":"","affiliations":[],"preferred":false,"id":445113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeBerre, M.","contributorId":31604,"corporation":false,"usgs":true,"family":"LeBerre","given":"M.","email":"","affiliations":[],"preferred":false,"id":445109,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bremont, M.","contributorId":30349,"corporation":false,"usgs":false,"family":"Bremont","given":"M.","affiliations":[],"preferred":false,"id":445108,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fijan, N.","contributorId":67333,"corporation":false,"usgs":true,"family":"Fijan","given":"N.","email":"","affiliations":[],"preferred":false,"id":445111,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192559,"text":"70192559 - 2010 - Coupled hydrology and biogeochemistry of Paleocene–Eocene coal beds, northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2018-02-01T12:47:23","indexId":"70192559","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Coupled hydrology and biogeochemistry of Paleocene–Eocene coal beds, northern Gulf of Mexico","docAbstract":"<p><span>Thirty-six formation waters, gas, and microbial samples were collected and analyzed from natural gas and oil wells producing from the Paleocene to Eocene Wilcox Group coal beds and adjacent sandstones in north-central Louisiana, USA, to investigate the role hydrology plays on the generation and distribution of microbial methane. Major ion chemistry and Cl</span><sup>−</sup><span>Br relations of Wilcox Group formation waters suggest mixing of freshwater with halite-derived brines. High alkalinities (up to 47.8 meq/L), no detectable SO</span><sub>4</sub><span>, and elevated δ</span><sup>13</sup><span>C values of dissolved inorganic carbon (up to 20.5‰ Vienna Peedee belemnite [VPDB]) and CO</span><sub>2</sub><span><span>&nbsp;</span>(up to 17.67‰ VPDB) in the Wilcox Group coals and adjacent sandstones indicate the dominance of microbial methanogenesis. The δ</span><sup>13</sup><span>C and δD values of CH</span><sub>4</sub><span>, and carbon isotope fractionation of CO</span><sub>2</sub><span><span>&nbsp;</span>and CH</span><sub>4</sub><span>, suggest CO</span><sub>2</sub><span><span>&nbsp;</span>reduction is the major methanogenic pathway. Geochemical indicators for methanogenesis drop off significantly at chloride concentrations above ∼1.7 mol/L, suggesting that high salinities inhibit microbial activity at depths greater than ∼1.6 km. Formation waters in the Wilcox Group contain up to 1.6% modern carbon (A</span><sup>14</sup><span>C) to at least 1690 m depth; the covariance of δD values of co-produced H</span><sub>2</sub><span>O and CH</span><sub>4</sub><span><span>&nbsp;</span>indicate that the microbial methane was generated in situ with these Late Pleistocene or younger waters. The most enriched carbon isotope values for dissolved inorganic carbon (DIC) and CO</span><sub>2</sub><span>, and highest alkalinities, were detected in Wilcox Group sandstone reservoirs that were CO</span><sub>2</sub><span><span>&nbsp;</span>flooded in the 1980s for enhanced oil recovery, leading to the intriguing hypothesis that CO</span><sub>2</sub><span><span>&nbsp;</span>sequestration may actually enhance methanogenesis in organic-rich formations.</span></p>","language":"English","publisher":"The Geological Society of America","doi":"10.1130/B30039.1","usgsCitation":"McIntosh, J.C., Warwick, P.D., Martini, A.M., and Osborn, S.G., 2010, Coupled hydrology and biogeochemistry of Paleocene–Eocene coal beds, northern Gulf of Mexico: GSA Bulletin, v. 122, no. 7-8, p. 1248-1264, https://doi.org/10.1130/B30039.1.","productDescription":"17 p.","startPage":"1248","endPage":"1264","ipdsId":"IP-012265","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":347459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.031982421875,\n              31.015278981711266\n            ],\n            [\n              -89.307861328125,\n              31.015278981711266\n            ],\n            [\n              -89.307861328125,\n              33.02708758002874\n            ],\n            [\n              -94.031982421875,\n              33.02708758002874\n            ],\n            [\n              -94.031982421875,\n              31.015278981711266\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"7-8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-03-29","publicationStatus":"PW","scienceBaseUri":"5a07f62ee4b09af898c8cdf6","contributors":{"authors":[{"text":"McIntosh, Jennifer C. 0000-0001-5055-4202","orcid":"https://orcid.org/0000-0001-5055-4202","contributorId":150557,"corporation":false,"usgs":false,"family":"McIntosh","given":"Jennifer","email":"","middleInitial":"C.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":716194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":716192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martini, Anna M.","contributorId":192675,"corporation":false,"usgs":false,"family":"Martini","given":"Anna","email":"","middleInitial":"M.","affiliations":[{"id":35249,"text":"Department of Geology, Amherst College","active":true,"usgs":false}],"preferred":false,"id":716208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osborn, Stephen G.","contributorId":198479,"corporation":false,"usgs":false,"family":"Osborn","given":"Stephen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":716209,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190493,"text":"70190493 - 2010 - Genetic applications in wild felids","interactions":[],"lastModifiedDate":"2017-09-05T14:53:23","indexId":"70190493","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Genetic applications in wild felids","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The biology and conservation of wild felids","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","isbn":"9780199234455","usgsCitation":"Culver, M., Driscoll, C., Eizirik, E., and Spong, G., 2010, Genetic applications in wild felids, chap. <i>of</i> The biology and conservation of wild felids.","ipdsId":"IP-070356","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":345467,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://global.oup.com/academic/product/the-biology-and-conservation-of-wild-felids-9780199234455?cc=us&lang=en&#"},{"id":345468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59afb7a0e4b0e9bde135114d","contributors":{"editors":[{"text":"Macdonald, David","contributorId":196184,"corporation":false,"usgs":false,"family":"Macdonald","given":"David","affiliations":[],"preferred":false,"id":709549,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Loveridge, Andrew","contributorId":196185,"corporation":false,"usgs":false,"family":"Loveridge","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":709550,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":4327,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":127,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":709458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Driscoll, Carlos","contributorId":196181,"corporation":false,"usgs":false,"family":"Driscoll","given":"Carlos","affiliations":[],"preferred":false,"id":709546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eizirik, Eduardo","contributorId":196182,"corporation":false,"usgs":false,"family":"Eizirik","given":"Eduardo","email":"","affiliations":[],"preferred":false,"id":709547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spong, Goran","contributorId":196183,"corporation":false,"usgs":false,"family":"Spong","given":"Goran","email":"","affiliations":[],"preferred":false,"id":709548,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189917,"text":"70189917 - 2010 - Heat tracer methods","interactions":[{"subject":{"id":70189917,"text":"70189917 - 2010 - Heat tracer methods","indexId":"70189917","publicationYear":"2010","noYear":false,"chapter":"8","title":"Heat tracer methods"},"predicate":"IS_PART_OF","object":{"id":70189200,"text":"70189200 - 2010 - Estimating groundwater recharge","indexId":"70189200","publicationYear":"2010","noYear":false,"title":"Estimating groundwater recharge"},"id":1}],"isPartOf":{"id":70189200,"text":"70189200 - 2010 - Estimating groundwater recharge","indexId":"70189200","publicationYear":"2010","noYear":false,"title":"Estimating groundwater recharge"},"lastModifiedDate":"2021-04-26T17:30:26.056794","indexId":"70189917","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Heat tracer methods","docAbstract":"<p>The flow of heat in the subsurface is closely linked to the movement of water (Ingebritsen <span class=\"italic\">et al</span>., 2006). As such, heat has been used as a tracer in groundwater studies for more than 100 years (Anderson, 2005). As with chemical and isotopic tracers (Chapter 7), spatial or temporal trends in surface and subsurface temperatures can be used to infer rates of water movement. Temperature can be measured accurately, economically, at high frequencies, and without the need to obtain water samples, facts that make heat an attractive tracer. Temperature measurements made over space and time can be used to infer rates of recharge from a stream or other surface water body (Lapham, 1989; Stonestrom and Constantz, 2003); measurements can also be used to estimate rates of steady drainage through depth intervals within thick unsaturated zones (Constantz <span class=\"italic\">et al</span>., 2003; Shan and Bodvarsson, 2004). Several thorough reviews of heat as a tracer in hydrologic studies have recently been published (Constantz <span class=\"italic\">et al</span>., 2003; Stonestrom and Constantz, 2003; Anderson, 2005; Blasch <span class=\"italic\">et al</span>., 2007; Constantz <span class=\"italic\">et al</span>., 2008). This chapter summarizes heat-tracer approaches that have been used to estimate recharge.</p><p>Some clarification in terminology is presented here to avoid confusion in descriptions of the various approaches that follow. <span class=\"italic\">Diffuse recharge</span> is that which occurs more or less uniformly across large areas in response to precipitation, infiltration, and drainage through the unsaturated zone. Estimates of diffuse recharge determined using measured temperatures in the unsaturated zone are referred to as <span class=\"italic\">potential recharge</span> because it is possible that not all of the water moving through the unsaturated zone will recharge the aquifer; some may be lost to the atmosphere by evaporation or plant transpiration. Estimated fluxes across confining units in the saturated zone are referred to as <span class=\"italic\">interaquifer flow</span> (Chapter 1). <span class=\"italic\">Focused recharge</span> is that which occurs directly from a point or line source, such as a stream, on land surface. Focused recharge may vary widely in space and time. If the water table intersects a stream channel, estimates of stream loss are called actual recharge, or just recharge. If the water table lies below the stream channel, estimates are referred to as potential recharge. For simplicity, all vertical water fluxes are referred to as <span class=\"italic\">drainage</span> throughout this chapter. Whether the estimated quantity represents actual or potential recharge or drainage depends on the circumstances of each individual study.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Estimating groundwater recharge","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/CBO9780511780745.009","usgsCitation":"Healy, R.W., 2010, Heat tracer methods, chap. 8 <i>of</i> Estimating groundwater recharge, p. 166-179, https://doi.org/10.1017/CBO9780511780745.009.","productDescription":"14 p.","startPage":"166","endPage":"179","ipdsId":"IP-012662","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":345100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599fe5bde4b038630d02211c","contributors":{"authors":[{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706766,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193156,"text":"70193156 - 2010 - No evidence of trophic mismatch for caribou in Greenland","interactions":[],"lastModifiedDate":"2018-05-06T10:58:36","indexId":"70193156","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"No evidence of trophic mismatch for caribou in Greenland","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Science","usgsCitation":"Griffith, D.B., Adams, L., Douglas, D., Cuyler, C., White, R.G., Gunn, A., Russell, D.E., and Cameron, R.D., 2010, No evidence of trophic mismatch for caribou in Greenland: Science.","ipdsId":"IP-017286","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348936,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://science.sciencemag.org/content/325/5946/1355/tab-e-letters"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610acfe4b06e28e9c256f7","contributors":{"authors":[{"text":"Griffith, Dennis B. ffdbg@usgs.gov","contributorId":510,"corporation":false,"usgs":true,"family":"Griffith","given":"Dennis","email":"ffdbg@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":718104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":722299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":722300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cuyler, Christine","contributorId":200431,"corporation":false,"usgs":false,"family":"Cuyler","given":"Christine","email":"","affiliations":[],"preferred":false,"id":722301,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Robert G.","contributorId":181759,"corporation":false,"usgs":false,"family":"White","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":722303,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gunn, Anne","contributorId":200432,"corporation":false,"usgs":false,"family":"Gunn","given":"Anne","email":"","affiliations":[],"preferred":false,"id":722305,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Russell, Donald E.","contributorId":190659,"corporation":false,"usgs":false,"family":"Russell","given":"Donald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":722307,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cameron, Raymond D.","contributorId":190363,"corporation":false,"usgs":false,"family":"Cameron","given":"Raymond","email":"","middleInitial":"D.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":722308,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70034148,"text":"70034148 - 2010 - Using occupancy models to understand the distribution of an amphibian pathogen, Batrachochytrium dendrobatidis","interactions":[],"lastModifiedDate":"2018-01-23T16:22:19","indexId":"70034148","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Using occupancy models to understand the distribution of an amphibian pathogen, Batrachochytrium dendrobatidis","docAbstract":"<p><span class=\"genusSpeciesInfoAsset\">Batrachochytrium dendrobatidis</span><span><span>&nbsp;</span>is a fungal pathogen that is receiving attention around the world for its role in amphibian declines. Study of its occurrence patterns is hampered by false negatives: the failure to detect the pathogen when it is present. Occupancy models are a useful but currently underutilized tool for analyzing detection data when the probability of detecting a species is &lt;1. We use occupancy models to evaluate hypotheses concerning the occurrence and prevalence of<span>&nbsp;</span></span><span class=\"genusSpeciesInfoAsset\">B. dendrobatidis</span><span><span>&nbsp;</span>and discuss how this application differs from a conventional occupancy approach. We found that the probability of detecting the pathogen, conditional on presence of the pathogen in the anuran population, was related to amphibian development stage, day of the year, elevation, and human activities.<span>&nbsp;</span></span><span class=\"genusSpeciesInfoAsset\">Batrachochytrium dendrobatidis</span><span><span>&nbsp;</span>was found throughout our study area but was only estimated to occur in 53.4% of 78 populations of native amphibians and 66.4% of 40 populations of nonnative<span>&nbsp;</span></span><span class=\"genusSpeciesInfoAsset\">Rana catesbeiana</span><span><span>&nbsp;</span>tested. We found little evidence to support any spatial hypotheses concerning the probability that the pathogen occurs in a population, but did find evidence of some taxonomic variation. We discuss the interpretation of occupancy model parameters, when, unlike a conventional occupancy application, the number of potential samples or observations is finite.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/08-2319.1","issn":"10510761","usgsCitation":"Adams, M.J., Chelgren, N., Reinitz, D.M., Cole, R.A., Rachowicz, L., Galvan, S., McCreary, B., Pearl, C.A., Bailey, L.L., Bettaso, J.B., Bull, E.L., and Leu, M., 2010, Using occupancy models to understand the distribution of an amphibian pathogen, Batrachochytrium dendrobatidis: Ecological Applications, v. 20, no. 1, p. 289-302, https://doi.org/10.1890/08-2319.1.","productDescription":"14 p.","startPage":"289","endPage":"302","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":456,"text":"National Wildlife Health 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,{"id":70190456,"text":"70190456 - 2010 - Geophysical framework of the northern San Francisco Bay region, California","interactions":[],"lastModifiedDate":"2017-09-01T09:18:12","indexId":"70190456","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical framework of the northern San Francisco Bay region, California","docAbstract":"<p><span>We use geophysical data to examine the structural framework of the northern San Francisco Bay region, an area that hosts the northward continuation of the East Bay fault system. Although this fault system has accommodated ∼175 km of right-lateral offset since 12 Ma, how this offset is partitioned north of the bay is controversial and important for understanding where and how strain is accommodated along this stretch of the broader San Andreas transform margin. Using gravity and magnetic data, we map these faults, many of which influenced basin formation and volcanism. Continuity of magnetic anomalies in certain areas, such as Napa and Sonoma Valleys, the region north of Napa Valley, and the region south of the Santa Rosa Plain, preclude significant (&gt;10 km) offset. Much of the slip is partitioned around Sonoma and Napa Valleys and onto the Carneros, Rodgers Creek, and Green Valley faults. The absence of correlative magnetic anomalies across the Hayward–Rodgers Creek–Maacama fault system suggests that this system reactivated older basement structures, which appear to influence seismicity patterns in the region.</span></p>","language":"English","publisher":"The Geological Society of America","doi":"10.1130/GES00510.1","usgsCitation":"Langenheim, V., Graymer, R.W., Jachens, R.C., McLaughlin, R.J., Wagner, D., and Sweetkind, D.S., 2010, Geophysical framework of the northern San Francisco Bay region, California: Geosphere, v. 6, no. 5, p. 594-620, https://doi.org/10.1130/GES00510.1.","productDescription":"27 p.","startPage":"594","endPage":"620","ipdsId":"IP-008075","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":475903,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00510.1","text":"Publisher Index Page"},{"id":345405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.1182861328125,\n              37.23470197166817\n            ],\n            [\n              -121.234130859375,\n              37.23470197166817\n            ],\n            [\n              -121.234130859375,\n              38.35888785866677\n            ],\n            [\n              -123.1182861328125,\n              38.35888785866677\n            ],\n            [\n              -123.1182861328125,\n              37.23470197166817\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59aa71dde4b0e9bde130d01c","contributors":{"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":709247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graymer, Russell W. 0000-0003-4910-5682 rgraymer@usgs.gov","orcid":"https://orcid.org/0000-0003-4910-5682","contributorId":1052,"corporation":false,"usgs":true,"family":"Graymer","given":"Russell","email":"rgraymer@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":709245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jachens, Robert C. jachens@usgs.gov","contributorId":1180,"corporation":false,"usgs":true,"family":"Jachens","given":"Robert","email":"jachens@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":709244,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McLaughlin, Robert J. 0000-0002-4390-2288 rjmcl@usgs.gov","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":1428,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert","email":"rjmcl@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":709246,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, D.L.","contributorId":49178,"corporation":false,"usgs":true,"family":"Wagner","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":709242,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sweetkind, Donald S. 0000-0003-0892-4796 dsweetkind@usgs.gov","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":139913,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald","email":"dsweetkind@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":709243,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193389,"text":"70193389 - 2010 - Forest exlosures: an experimental approach to understanding browsing by moose and deer","interactions":[],"lastModifiedDate":"2017-11-16T11:21:19","indexId":"70193389","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5554,"text":"Massachusetts Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Forest exlosures: an experimental approach to understanding browsing by moose and deer","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Massachusetts Wildlife","usgsCitation":"DeStefano, S., Faison, E.K., Compton, J., and Wattles, D.W., 2010, Forest exlosures: an experimental approach to understanding browsing by moose and deer: Massachusetts Wildlife, v. 60, p. 14-17.","productDescription":"4 p.","startPage":"14","endPage":"17","ipdsId":"IP-024171","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610acee4b06e28e9c256e9","contributors":{"authors":[{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":718883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faison, Edward K.","contributorId":191559,"corporation":false,"usgs":false,"family":"Faison","given":"Edward","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Compton, J.","contributorId":200457,"corporation":false,"usgs":false,"family":"Compton","given":"J.","email":"","affiliations":[],"preferred":false,"id":722396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wattles, David W.","contributorId":25012,"corporation":false,"usgs":true,"family":"Wattles","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":722397,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193020,"text":"70193020 - 2010 - Geometric evaluation and validation of aerial and satellite data using Sioux Falls Geometric test range","interactions":[],"lastModifiedDate":"2018-04-23T09:18:36","indexId":"70193020","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geometric evaluation and validation of aerial and satellite data using Sioux Falls Geometric test range","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"ASPRS 2010 Annual Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"ASPRS 2010 Annual Conference","conferenceDate":"April 26-30, 210","conferenceLocation":"San Diego, CA","language":"English","publisher":"ASPRS 2010 Annual Conference","usgsCitation":"Sampath, A., Moe, D., Christopherson, J., and Stensaas, G.L., 2010, Geometric evaluation and validation of aerial and satellite data using Sioux Falls Geometric test range, <i>in</i> ASPRS 2010 Annual Conference, San Diego, CA, April 26-30, 210, 6 p.","productDescription":"6 p.","ipdsId":"IP-020208","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":350092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610acfe4b06e28e9c256f9","contributors":{"authors":[{"text":"Sampath, Aparajithan 0000-0002-6922-4913 asampath@usgs.gov","orcid":"https://orcid.org/0000-0002-6922-4913","contributorId":3622,"corporation":false,"usgs":true,"family":"Sampath","given":"Aparajithan","email":"asampath@usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":717675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moe, Donald dmoe@usgs.gov","contributorId":3761,"corporation":false,"usgs":true,"family":"Moe","given":"Donald","email":"dmoe@usgs.gov","affiliations":[],"preferred":true,"id":725218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christopherson, Jon 0000-0002-2472-0059 jonchris@usgs.gov","orcid":"https://orcid.org/0000-0002-2472-0059","contributorId":2552,"corporation":false,"usgs":true,"family":"Christopherson","given":"Jon","email":"jonchris@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":725219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stensaas, Gregory L. 0000-0001-6679-2416 stensaas@usgs.gov","orcid":"https://orcid.org/0000-0001-6679-2416","contributorId":2551,"corporation":false,"usgs":true,"family":"Stensaas","given":"Gregory","email":"stensaas@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":725220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189973,"text":"70189973 - 2010 - Computational modeling of bedform evolution in rivers with implications for predictions of flood stage and bed evolution","interactions":[],"lastModifiedDate":"2017-08-16T21:54:47","indexId":"70189973","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Computational modeling of bedform evolution in rivers with implications for predictions of flood stage and bed evolution","docAbstract":"Uncertainties in flood stage prediction and bed evolution in rivers are frequently associated with the evolution of bedforms over a hydrograph. For the case of flood prediction, the evolution of the bedforms may alter the effective bed roughness, so predictions of stage and velocity based on assuming bedforms retain the same size and shape over a hydrograph will be\r\nincorrect. These same effects will produce errors in the prediction of the sediment transport and bed evolution, but in this latter case the errors are typically larger, as even small errors in the prediction of bedform form drag can make very large errors in predicting the rates of sediment motion and the associated erosion and deposition. In situations where flows change slowly, it may be possible to use empirical results that relate bedform morphology to roughness and effective form drag to avoid these errors; but in many cases where the bedforms evolve rapidly and are in disequilibrium with the instantaneous flow, these empirical methods cannot be\r\naccurately applied. Over the past few years, computational models for bedform development, migration, and adjustment to varying flows have been developed and tested with a variety of laboratory and field data. These models, which are based on detailed multidimensional flow modeling incorporating large eddy simulation, appear to be capable of predicting bedform dimensions during steady flows as well as their time dependence during discharge variations. In the work presented here, models of this type are used to investigate the impacts of bedform on stage and bed evolution in rivers during flood hydrographs. The method is shown to reproduce\r\nhysteresis in rating curves as well as other more subtle effects in the shape of flood waves.  Techniques for combining the bedform evolution models with larger-scale models for river reach flow, sediment transport, and bed evolution are described and used to show the importance of including dynamic bedform effects in river modeling. For example calculations for a flood on the Kootenai River, errors of almost 1m in predicted stage and errors of about a factor of two in the predicted maximum depths of erosion can be attributed to bedform evolution. Thus, treating bedforms explicitly in flood and bed evolution models can decrease uncertainty and increase the\r\naccuracy of predictions.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 4th Federal Interagency Hydrologic Modeling Conference and the 9th Federal Interagency Sedimentation Conference ","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2nd Joint Federal Interagency Conference","conferenceDate":"June 27-July 10, 2010","conferenceLocation":"Las Vegas, NV","language":"English","publisher":"Advisory Committee on Water Information","isbn":" 978-0-9779007-3-2","usgsCitation":"Nelson, J.M., Shimizu, Y., Giri, S., and McDonald, R.R., 2010, Computational modeling of bedform evolution in rivers with implications for predictions of flood stage and bed evolution, <i>in</i> Proceedings of the 4th Federal Interagency Hydrologic Modeling Conference and the 9th Federal Interagency Sedimentation Conference , Las Vegas, NV, June 27-July 10, 2010, 9 p.","productDescription":"9 p.","ipdsId":"IP-014436","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344915,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599559bce4b0fe2b9fea6c46","contributors":{"authors":[{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shimizu, Yasuyuki","contributorId":28875,"corporation":false,"usgs":false,"family":"Shimizu","given":"Yasuyuki","affiliations":[{"id":25249,"text":"Univ. of Hokkaido, Sapporo,Japan","active":true,"usgs":false}],"preferred":false,"id":706952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giri, Sanjay","contributorId":195320,"corporation":false,"usgs":false,"family":"Giri","given":"Sanjay","email":"","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":706953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":706954,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189916,"text":"70189916 - 2010 - Modeling methods","interactions":[{"subject":{"id":70189916,"text":"70189916 - 2010 - Modeling methods","indexId":"70189916","publicationYear":"2010","noYear":false,"chapter":"3","title":"Modeling methods"},"predicate":"IS_PART_OF","object":{"id":70189200,"text":"70189200 - 2010 - Estimating groundwater recharge","indexId":"70189200","publicationYear":"2010","noYear":false,"title":"Estimating groundwater recharge"},"id":1}],"isPartOf":{"id":70189200,"text":"70189200 - 2010 - Estimating groundwater recharge","indexId":"70189200","publicationYear":"2010","noYear":false,"title":"Estimating groundwater recharge"},"lastModifiedDate":"2021-04-26T17:31:35.616126","indexId":"70189916","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Modeling methods","docAbstract":"<p>Simulation models are widely used in all types of hydrologic studies, and many of these models can be used to estimate recharge. Models can provide important insight into the functioning of hydrologic systems by identifying factors that influence recharge. The predictive capability of models can be used to evaluate how changes in climate, water use, land use, and other factors may affect recharge rates. Most hydrological simulation models, including watershed models and groundwater-flow models, are based on some form of water-budget equation, so the material in this chapter is closely linked to that in Chapter 2. Empirical models that are not based on a water-budget equation have also been used for estimating recharge; these models generally take the form of simple estimation equations that define annual recharge as a function of precipitation and possibly other climatic data or watershed characteristics.</p><p>Model complexity varies greatly. Some models are simple accounting models; others attempt to accurately represent the physics of water movement through each compartment of the hydrologic system. Some models provide estimates of recharge explicitly; for example, a model based on the Richards equation can simulate water movement from the soil surface through the unsaturated zone to the water table. Recharge estimates can be obtained indirectly from other models. For example, recharge is a parameter in groundwater-flow models that solve for hydraulic head (i.e. groundwater level). Recharge estimates can be obtained through a model calibration process in which recharge and other model parameter values are adjusted so that simulated water levels agree with measured water levels. The simulation that provides the closest agreement is called the best fit, and the recharge value used in that simulation is the model-generated estimate of recharge.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Estimating groundwater recharge","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/CBO9780511780745.004","isbn":"9780511780745","usgsCitation":"Healy, R.W., 2010, Modeling methods, chap. 3 <i>of</i> Estimating groundwater recharge, p. 43-73, https://doi.org/10.1017/CBO9780511780745.004.","productDescription":"31 p.","startPage":"43","endPage":"73","ipdsId":"IP-017222","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":345120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599fe5bde4b038630d022120","contributors":{"authors":[{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706764,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042347,"text":"70042347 - 2010 - Caution on the use of liquid nitrogen traps in stable hydrogen isotope-ratio mass spectrometry","interactions":[],"lastModifiedDate":"2018-10-11T10:23:51","indexId":"70042347","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":761,"text":"Analytical Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Caution on the use of liquid nitrogen traps in stable hydrogen isotope-ratio mass spectrometry","docAbstract":"<p>An anomalous stable hydrogen isotopic fractionation of 4 ‰ in gaseous hydrogen has been correlated with the process of adding liquid nitrogen (LN<sub>2</sub>) to top off the dewar of a stainless-steel water trap on a gaseous hydrogen-water platinum equilibration system. Although the cause of this isotopic fractionation is unknown, its effect can be mitigated by (1) increasing the capacity of any dewars so that they do not need to be filled during a daily analytic run, (2) interspersing isotopic reference waters among unknowns, and (3) applying a linear drift correction and linear normalization to isotopic results with a program such as Laboratory Information Management System (LIMS) for Light Stable Isotopes. With adoption of the above guidelines, measurement uncertainty can be substantially improved. For example, the long-term (months to years) δ<sup>2<sup>H</sup></sup> reproducibility (1&amp; sigma; standard deviation) of nine local isotopic reference waters analyzed daily improved substantially from about 1‰ to 0.58 ‰. This isotopically fractionating mechanism might affect other isotope-ratio mass spectrometers in which LN<sub>2</sub> is used as a moisture trap for gaseous hydrogen</p>","language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/ac101570f","usgsCitation":"Coplen, T.B., and Qi, H., 2010, Caution on the use of liquid nitrogen traps in stable hydrogen isotope-ratio mass spectrometry: Analytical Chemistry, v. 82, no. 18, p. 7849-7851, https://doi.org/10.1021/ac101570f.","productDescription":"3 p.","startPage":"7849","endPage":"7851","ipdsId":"IP-020415","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":265316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265271,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/ac101570f"}],"country":"United States","volume":"82","issue":"18","noUsgsAuthors":false,"publicationDate":"2010-08-18","publicationStatus":"PW","scienceBaseUri":"50ebfc76e4b07f1501afcfcb","contributors":{"authors":[{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":471357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":471356,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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