{"pageNumber":"764","pageRowStart":"19075","pageSize":"25","recordCount":40778,"records":[{"id":70034170,"text":"70034170 - 2011 - High-frequency filtering of strong-motion records","interactions":[],"lastModifiedDate":"2013-03-05T11:35:55","indexId":"70034170","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1101,"text":"Bulletin of Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"High-frequency filtering of strong-motion records","docAbstract":"The influence of noise in strong-motion records is most problematic at low and high frequencies where the signal to noise ratio is commonly low compared to that in the mid-spectrum. The impact of low-frequency noise (<1 Hz) on strong-motion intensity parameters such as ground velocities, displacements and response spectral ordinates can be dramatic and consequentially it has become standard practice to low-cut (high-pass) filter strong-motion data with corner frequencies often chosen based on the shape of Fourier amplitude spectra and the signal-to-noise ratio. It has been shown that response spectral ordinates should not be used beyond some fraction of the corner period (reciprocal of the corner frequency) of the low-cut filter. This article examines the effect of high-frequency noise (>5 Hz) on computed pseudo-absolute response spectral accelerations (PSAs). In contrast to the case of low-frequency noise our analysis shows that filtering to remove high-frequency noise is only necessary in certain situations and that PSAs can often be used up to 100 Hz even if much lower high-cut corner frequencies are required to remove the noise. This apparent contradiction can be explained by the fact that PSAs are often controlled by ground accelerations associated with much lower frequencies than the natural frequency of the oscillator because path and site attenuation (often modelled by Q and κ, respectively) have removed the highest frequencies. We demonstrate that if high-cut filters are to be used, then their corner frequencies should be selected on an individual basis, as has been done in a few recent studies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Earthquake Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10518-010-9208-4","issn":"1570761X","usgsCitation":"Douglas, J., and Boore, D., 2011, High-frequency filtering of strong-motion records: Bulletin of Earthquake Engineering, v. 9, no. 2, p. 395-409, https://doi.org/10.1007/s10518-010-9208-4.","productDescription":"15 p.","startPage":"395","endPage":"409","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487174,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://brgm.hal.science/hal-00567837","text":"External Repository"},{"id":216968,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10518-010-9208-4"},{"id":244871,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-09-16","publicationStatus":"PW","scienceBaseUri":"505a30e9e4b0c8380cd5da66","contributors":{"authors":[{"text":"Douglas, J.","contributorId":27811,"corporation":false,"usgs":true,"family":"Douglas","given":"J.","email":"","affiliations":[],"preferred":false,"id":444409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boore, D.M. 0000-0002-8605-9673","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":64226,"corporation":false,"usgs":true,"family":"Boore","given":"D.M.","affiliations":[],"preferred":false,"id":444410,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034172,"text":"70034172 - 2011 - Evaluating the growth potential of sea lampreys (Petromyzon marinus) feeding on siscowet lake trout (Salvelinus namaycush) in Lake Superior","interactions":[],"lastModifiedDate":"2012-12-27T13:33:25","indexId":"70034172","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the growth potential of sea lampreys (Petromyzon marinus) feeding on siscowet lake trout (Salvelinus namaycush) in Lake Superior","docAbstract":"Differences in the preferred thermal habitat of Lake Superior lake trout morphotypes create alternative growth scenarios for parasitic sea lamprey (Petromyzon marinus) attached to lake trout hosts. Siscowet lake trout (Salvelinus namaycush) inhabit deep, consistently cold water (4–6 °C) and are more abundant than lean lake trout (Salvelinus namaycush) which occupy temperatures between 8 and 12 °C during summer thermal stratification. Using bioenergetics models we contrasted the growth potential of sea lampreys attached to siscowet and lean lake trout to determine how host temperature influences the growth and ultimate size of adult sea lamprey. Sea lampreys simulated under the thermal regime of siscowets are capable of reaching sizes within the range of adult sea lamprey sizes observed in Lake Superior tributaries. High lamprey wounding rates on siscowets suggest siscowets are important lamprey hosts. In addition, siscowets have higher survival rates from lamprey attacks than those observed for lean lake trout which raises the prospect that siscowets serve as a buffer to predation on more commercially desirable hosts such as lean lake trout, and could serve to subsidize lamprey growth.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jglr.2011.01.007","issn":"03801330","usgsCitation":"Moody, E., Weidel, B., Ahrenstorff, T., Mattes, W., and Kitchell, J., 2011, Evaluating the growth potential of sea lampreys (Petromyzon marinus) feeding on siscowet lake trout (Salvelinus namaycush) in Lake Superior: Journal of Great Lakes Research, v. 37, no. 2, p. 343-348, https://doi.org/10.1016/j.jglr.2011.01.007.","productDescription":"6 p.","startPage":"343","endPage":"348","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":216516,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2011.01.007"},{"id":244393,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Superior","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,46.41 ], [ -92.11,48.88 ], [ -84.35,48.88 ], [ -84.35,46.41 ], [ -92.11,46.41 ] ] ] } } ] }","volume":"37","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0bf9e4b0c8380cd52992","contributors":{"authors":[{"text":"Moody, E.K.","contributorId":12713,"corporation":false,"usgs":true,"family":"Moody","given":"E.K.","email":"","affiliations":[],"preferred":false,"id":444416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weidel, B.C.","contributorId":47978,"corporation":false,"usgs":true,"family":"Weidel","given":"B.C.","affiliations":[],"preferred":false,"id":444419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahrenstorff, T.D.","contributorId":20570,"corporation":false,"usgs":true,"family":"Ahrenstorff","given":"T.D.","affiliations":[],"preferred":false,"id":444417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mattes, W.P.","contributorId":99777,"corporation":false,"usgs":true,"family":"Mattes","given":"W.P.","email":"","affiliations":[],"preferred":false,"id":444420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kitchell, J.F.","contributorId":33259,"corporation":false,"usgs":true,"family":"Kitchell","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":444418,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034174,"text":"70034174 - 2011 - Comparison of ground motions from hybrid simulations to nga prediction equations","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034174","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of ground motions from hybrid simulations to nga prediction equations","docAbstract":"We compare simulated motions for a Mw 7.8 rupture scenario on the San Andreas Fault known as the ShakeOut event, two permutations with different hypocenter locations, and a Mw 7.15 Puente Hills blind thrust scenario, to median and dispersion predictions from empirical NGA ground motion prediction equations. We find the simulated motions attenuate faster with distance than is predicted by the NGA models for periods less than about 5.0 s After removing this distance attenuation bias, the average residuals of the simulated events (i.e., event terms) are generally within the scatter of empirical event terms, although the ShakeOut simulation appears to be a high static stress drop event. The intraevent dispersion in the simulations is lower than NGA values at short periods and abruptly increases at 1.0 s due to different simulation procedures at short and long periods. The simulated motions have a depth-dependent basin response similar to the NGA models, and also show complex effects in which stronger basin response occurs when the fault rupture transmits energy into a basin at low angle, which is not predicted by the NGA models. Rupture directivity effects are found to scale with the isochrone parameter ?? 2011, Earthquake Engineering Research Institute.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1193/1.3583644","issn":"87552930","usgsCitation":"Star, L., Stewart, J., and Graves, R., 2011, Comparison of ground motions from hybrid simulations to nga prediction equations: Earthquake Spectra, v. 27, no. 2, p. 331-350, https://doi.org/10.1193/1.3583644.","startPage":"331","endPage":"350","numberOfPages":"20","costCenters":[],"links":[{"id":244425,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216548,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/1.3583644"}],"volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-05-01","publicationStatus":"PW","scienceBaseUri":"5059f867e4b0c8380cd4d09f","contributors":{"authors":[{"text":"Star, L.M.","contributorId":96491,"corporation":false,"usgs":true,"family":"Star","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":444431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, J.P.","contributorId":33514,"corporation":false,"usgs":true,"family":"Stewart","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":444429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, R.W. 0000-0001-9758-453X","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":77691,"corporation":false,"usgs":true,"family":"Graves","given":"R.W.","affiliations":[],"preferred":false,"id":444430,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034175,"text":"70034175 - 2011 - Recovering from the ShakeOut earthquake","interactions":[],"lastModifiedDate":"2013-03-19T15:05:44","indexId":"70034175","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Recovering from the ShakeOut earthquake","docAbstract":"Recovery from an earthquake like the M7.8 ShakeOut Scenario will be a major endeavor taking many years to complete. Hundreds of Southern California municipalities will be affected; most lack recovery plans or previous disaster experience. To support recovery planning this paper 1) extends the regional ShakeOut Scenario analysis into the recovery period using a recovery model, 2) localizes analyses to identify longer-term impacts and issues in two communities, and 3) considers the regional context of local recovery.Key community insights about preparing for post-disaster recovery include the need to: geographically diversify city procurement; set earthquake mitigation priorities for critical infrastructure (e.g., airport), plan to replace mobile homes with earthquake safety measures, consider post-earthquake redevelopment opportunities ahead of time, and develop post-disaster recovery management and governance structures. This work also showed that communities with minor damages are still sensitive to regional infrastructure damages and their potential long-term impacts on community recovery. This highlights the importance of community and infrastructure resilience strategies as well.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Earthquake Engineering Research Institute","publisherLocation":"Oakland, CA","doi":"10.1193/1.3581225","issn":"87552930","usgsCitation":"Wein, A., Johnson, L., and Bernknopf, R., 2011, Recovering from the ShakeOut earthquake: Earthquake Spectra, v. 27, no. 2, p. 521-538, https://doi.org/10.1193/1.3581225.","startPage":"521","endPage":"538","numberOfPages":"18","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":244426,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216549,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/1.3581225"}],"volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-05-01","publicationStatus":"PW","scienceBaseUri":"50e4a2f5e4b0e8fec6cdb760","contributors":{"authors":[{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":444432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Laurie","contributorId":11294,"corporation":false,"usgs":true,"family":"Johnson","given":"Laurie","affiliations":[],"preferred":false,"id":444433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernknopf, Richard","contributorId":51701,"corporation":false,"usgs":true,"family":"Bernknopf","given":"Richard","affiliations":[],"preferred":false,"id":444434,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034185,"text":"70034185 - 2011 - On the hydrologic adjustment of climate-model projections: The potential pitfall of potential evapotranspiration","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034185","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"On the hydrologic adjustment of climate-model projections: The potential pitfall of potential evapotranspiration","docAbstract":"Hydrologic models often are applied to adjust projections of hydroclimatic change that come from climate models. Such adjustment includes climate-bias correction, spatial refinement (\"downscaling\"), and consideration of the roles of hydrologic processes that were neglected in the climate model. Described herein is a quantitative analysis of the effects of hydrologic adjustment on the projections of runoff change associated with projected twenty-first-century climate change. In a case study including three climate models and 10 river basins in the contiguous United States, the authors find that relative (i.e., fractional or percentage) runoff change computed with hydrologic adjustment more often than not was less positive (or, equivalently, more negative) than what was projected by the climate models. The dominant contributor to this decrease in runoff was a ubiquitous change in runoff (median 211%) caused by the hydrologic model's apparent amplification of the climate-model-implied growth in potential evapotranspiration. Analysis suggests that the hydrologic model, on the basis of the empirical, temperature-based modified Jensen-Haise formula, calculates a change in potential evapotranspiration that is typically 3 times the change implied by the climate models, which explicitly track surface energy budgets. In comparison with the amplification of potential evapotranspiration, central tendencies of other contributions from hydrologic adjustment (spatial refinement, climate-bias adjustment, and process refinement) were relatively small. The authors' findings highlight the need for caution when projecting changes in potential evapotranspiration for use in hydrologic models or drought indices to evaluate climatechange impacts on water. Copyright ?? 2011, Paper 15-001; 35,952 words, 3 Figures, 0 Animations, 1 Tables.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Interactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1175/2010EI363.1","issn":"10873562","usgsCitation":"Milly, P., and Dunne, K., 2011, On the hydrologic adjustment of climate-model projections: The potential pitfall of potential evapotranspiration: Earth Interactions, v. 15, no. 1, p. 1-14, https://doi.org/10.1175/2010EI363.1.","startPage":"1","endPage":"14","numberOfPages":"14","costCenters":[],"links":[{"id":475419,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2010ei363.1","text":"Publisher Index Page"},{"id":216664,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2010EI363.1"},{"id":244548,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-14","publicationStatus":"PW","scienceBaseUri":"505a6dd5e4b0c8380cd7534d","contributors":{"authors":[{"text":"Milly, P. C. D.","contributorId":100489,"corporation":false,"usgs":true,"family":"Milly","given":"P. C. D.","affiliations":[],"preferred":false,"id":444496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunne, K.A.","contributorId":18920,"corporation":false,"usgs":true,"family":"Dunne","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":444495,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034197,"text":"70034197 - 2011 - Rethinking hyporheic flow and transient storage to advance understanding of stream-catchment connections","interactions":[],"lastModifiedDate":"2020-01-14T09:19:52","indexId":"70034197","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Rethinking hyporheic flow and transient storage to advance understanding of stream-catchment connections","docAbstract":"Although surface water and groundwater are increasingly referred to as one resource, there remain environmental and ecosystem needs to study the 10 m to 1 km reach scale as one hydrologic system. Streams gain and lose water over a range of spatial and temporal scales. Large spatial scales (kilometers) have traditionally been recognized and studied as river-aquifer connections. Over the last 25 years hyporheic exchange flows (1-10 m) have been studied extensively. Often a transient storage model has been used to quantify the physical solute transport setting in which biogeochemical processes occur. At the longer 10 m to 1 km scale of stream reaches it is now clear that streams which gain water overall can coincidentally lose water to the subsurface. At this scale, the amounts of water transferred are not necessarily significant but the exchanges can, however, influence solute transport. The interpretation of seemingly straightforward questions about water, contaminant, and nutrient fluxes into and along a stream can be confounded by flow losses which are too small to be apparent in stream gauging and along flow paths too long to be detected in tracer experiments. We suggest basic hydrologic approaches, e.g., measurement of flow along the channel, surface and subsurface solute sampling, and routine measurements of the water table that, in our opinion, can be used to extend simple exchange concepts from the hyporheic exchange scale to a scale of stream-catchment connection.
","language":"English","publisher":"Wiley","doi":"10.1029/2010WR010066","issn":"00431397","usgsCitation":"Bencala, K.E., Gooseff, M., and Kimball, B.A., 2011, Rethinking hyporheic flow and transient storage to advance understanding of stream-catchment connections: Water Resources Research, v. 47, no. 3, 9 p., https://doi.org/10.1029/2010WR010066.","productDescription":"9 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":244742,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-03-26","publicationStatus":"PW","scienceBaseUri":"505aac19e4b0c8380cd86b56","contributors":{"authors":[{"text":"Bencala, Kenneth E. kbencala@usgs.gov","contributorId":1541,"corporation":false,"usgs":true,"family":"Bencala","given":"Kenneth","email":"kbencala@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":779378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gooseff, M.N.","contributorId":21668,"corporation":false,"usgs":true,"family":"Gooseff","given":"M.N.","email":"","affiliations":[],"preferred":false,"id":444557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":779379,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034199,"text":"70034199 - 2011 - Radionuclides, trace elements, and radium residence in phosphogypsum of Jordan","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034199","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1538,"text":"Environmental Geochemistry and Health","active":true,"publicationSubtype":{"id":10}},"title":"Radionuclides, trace elements, and radium residence in phosphogypsum of Jordan","docAbstract":"Voluminous stockpiles of phosphogypsum (PG) generated during the wet process production of phosphoric acid are stored at many sites around the world and pose problems for their safe storage, disposal, or utilization. A major concern is the elevated concentration of long-lived 226Ra (half-life = 1,600 years) inherited from the processed phosphate rock. Knowledge of the abundance and mode-of-occurrence of radium (Ra) in PG is critical for accurate prediction of Ra leachability and radon (Rn) emanation, and for prediction of radiation-exposure pathways to workers and to the public. The mean (??SD) of 226Ra concentrations in ten samples of Jordan PG is 601 ?? 98 Bq/kg, which falls near the midrange of values reported for PG samples collected worldwide. Jordan PG generally shows no analytically significant enrichment (< 10%) of 226Ra in the finer (< 53 ??m) grain size fraction. Phosphogypsum samples collected from two industrial sites with different sources of phosphate rock feedstock show consistent differences in concentration of 226Ra and rare earth elements, and also consistent trends of enrichment in these elements with increasing age of PG. Water-insoluble residues from Jordan PG constitute <10% of PG mass but contain 30-65% of the 226Ra. 226Ra correlates closely with Ba in the water-insoluble residues. Uniformly tiny (< 10 ??m) grains of barite (barium sulfate) observed with scanning electron microscopy have crystal morphologies that indicate their formation during the wet process. Barite is a well-documented and efficient scavenger of Ra from solution and is also very insoluble in water and mineral acids. Radium-bearing barite in PG influences the environmental mobility of radium and the radiation-exposure pathways near PG stockpiles. ?? 2010 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Geochemistry and Health","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10653-010-9328-4","issn":"02694042","usgsCitation":"Zielinski, R.A., Al-Hwaiti, M.S., Budahn, J., and Ranville, J., 2011, Radionuclides, trace elements, and radium residence in phosphogypsum of Jordan: Environmental Geochemistry and Health, v. 33, no. 2, p. 149-165, https://doi.org/10.1007/s10653-010-9328-4.","startPage":"149","endPage":"165","numberOfPages":"17","costCenters":[],"links":[{"id":216877,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10653-010-9328-4"},{"id":244775,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-07-11","publicationStatus":"PW","scienceBaseUri":"505a9423e4b0c8380cd81221","contributors":{"authors":[{"text":"Zielinski, R. A. 0000-0002-4047-5129","orcid":"https://orcid.org/0000-0002-4047-5129","contributorId":106930,"corporation":false,"usgs":true,"family":"Zielinski","given":"R.","email":"","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":444570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Hwaiti, M. S.","contributorId":38392,"corporation":false,"usgs":true,"family":"Al-Hwaiti","given":"M.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":444567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budahn, J. R. 0000-0001-9794-8882","orcid":"https://orcid.org/0000-0001-9794-8882","contributorId":83914,"corporation":false,"usgs":true,"family":"Budahn","given":"J. R.","affiliations":[],"preferred":false,"id":444569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ranville, J. F.","contributorId":54245,"corporation":false,"usgs":true,"family":"Ranville","given":"J. F.","affiliations":[],"preferred":false,"id":444568,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034203,"text":"70034203 - 2011 - A comparison of recharge rates in aquifers of the United States based on groundwater-age data","interactions":[],"lastModifiedDate":"2020-01-28T08:40:59","indexId":"70034203","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of recharge rates in aquifers of the United States based on groundwater-age data","docAbstract":"An overview is presented of existing groundwater-age data and their implications for assessing rates and timescales of recharge in selected unconfined aquifer systems of the United States. Apparent age distributions in aquifers determined from chlorofluorocarbon, sulfur hexafluoride, tritium/helium-3, and radiocarbon measurements from 565 wells in 45 networks were used to calculate groundwater recharge rates. Timescales of recharge were defined by 1,873 distributed tritium measurements and 102 radiocarbon measurements from 27 well networks. Recharge rates ranged from < 10 to 1,200 mm/yr in selected aquifers on the basis of measured vertical age distributions and assuming exponential age gradients. On a regional basis, recharge rates based on tracers of young groundwater exhibited a significant inverse correlation with mean annual air temperature and a significant positive correlation with mean annual precipitation. Comparison of recharge derived from groundwater ages with recharge derived from stream base-flow evaluation showed similar overall patterns but substantial local differences. Results from this compilation demonstrate that age-based recharge estimates can provide useful insights into spatial and temporal variability in recharge at a national scale and factors controlling that variability. Local age-based recharge estimates provide empirical data and process information that are needed for testing and improving more spatially complete model-based methods.","language":"English","publisher":"Springer","doi":"10.1007/s10040-011-0722-5","issn":"14312174","usgsCitation":"McMahon, P., Plummer, N., Böhlke, J., Shapiro, S., and Hinkle, S., 2011, A comparison of recharge rates in aquifers of the United States based on groundwater-age data: Hydrogeology Journal, v. 19, no. 4, p. 779-800, https://doi.org/10.1007/s10040-011-0722-5.","productDescription":"22 p.","startPage":"779","endPage":"800","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":633,"text":"Water Resources National Research Program","active":false,"usgs":true}],"links":[{"id":244842,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"19","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-08","publicationStatus":"PW","scienceBaseUri":"5059e371e4b0c8380cd46010","contributors":{"authors":[{"text":"McMahon, P.B. 0000-0001-7452-2379","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":10762,"corporation":false,"usgs":true,"family":"McMahon","given":"P.B.","affiliations":[],"preferred":false,"id":444579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":444582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Böhlke, J.K. 0000-0001-5693-6455","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":96696,"corporation":false,"usgs":true,"family":"Böhlke","given":"J.K.","affiliations":[],"preferred":false,"id":444583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shapiro, S.D.","contributorId":68492,"corporation":false,"usgs":true,"family":"Shapiro","given":"S.D.","email":"","affiliations":[],"preferred":false,"id":444580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hinkle, S.R.","contributorId":74778,"corporation":false,"usgs":true,"family":"Hinkle","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":444581,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034207,"text":"70034207 - 2011 - Reply to \"Comment on 'A model of earthquake triggering probabilities and application to dynamic deformations constrained by ground motion observations' by Ross Stein\"","interactions":[],"lastModifiedDate":"2012-12-13T21:11:15","indexId":"70034207","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Reply to \"Comment on 'A model of earthquake triggering probabilities and application to dynamic deformations constrained by ground motion observations' by Ross Stein\"","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2010JB008094","issn":"01480227","usgsCitation":"Gomberg, J., and Felzer, K., 2011, Reply to \"Comment on 'A model of earthquake triggering probabilities and application to dynamic deformations constrained by ground motion observations' by Ross Stein\": Journal of Geophysical Research B: Solid Earth, v. 116, 3 p.; B03313, https://doi.org/10.1029/2010JB008094.","productDescription":"3 p.; B03313","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":264024,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JB008094"},{"id":244874,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","noUsgsAuthors":false,"publicationDate":"2011-03-30","publicationStatus":"PW","scienceBaseUri":"505aa75ee4b0c8380cd85391","contributors":{"authors":[{"text":"Gomberg, J.","contributorId":95994,"corporation":false,"usgs":true,"family":"Gomberg","given":"J.","email":"","affiliations":[],"preferred":false,"id":444605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Felzer, K.","contributorId":74970,"corporation":false,"usgs":true,"family":"Felzer","given":"K.","email":"","affiliations":[],"preferred":false,"id":444604,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034213,"text":"70034213 - 2011 - Comparison and analysis of empirical equations for soil heat flux for different cropping systems and irrigation methods","interactions":[],"lastModifiedDate":"2017-04-06T14:15:00","indexId":"70034213","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3619,"text":"Transactions of the ASABE","active":true,"publicationSubtype":{"id":10}},"title":"Comparison and analysis of empirical equations for soil heat flux for different cropping systems and irrigation methods","docAbstract":"We evaluated the performance of four models for estimating soil heat flux density (G) in maize (Zea mays L.) and soybean (Glycine max L.) fields under different irrigation methods (center-pivot irrigated fields at Mead, Nebraska, and subsurface drip irrigated field at Clay Center, Nebraska) and rainfed conditions at Mead. The model estimates were compared against measurements made during growing seasons of 2003, 2004, and 2005 at Mead and during 2005, 2006, and 2007 at Clay Center. We observed a strong relationship between the G and net radiation (Rn) ratio (G/Rn) and the normalized difference vegetation index (NDVI). When a significant portion of the ground was bare soil, G/Rn ranged from 0.15 to 0.30 and decreased with increasing NDVI. In contrast to the NDVI progression, the G/Rn ratio decreased with crop growth and development. The G/Rn ratio for subsurface drip irrigated crops was smaller than for the center-pivot irrigated crops. The seasonal average G was 13.1%, 15.2%, 10.9%, and 12.8% of Rn for irrigated maize, rainfed maize, irrigated soybean, and rainfed soybean, respectively. Statistical analyses of the performance of the four models showed a wide range of variation in G estimation. The root mean square error (RMSE) of predictions ranged from 15 to 81.3 W m-2. Based on the wide range of RMSE, it is recommended that local calibration of the models should be carried out for remote estimation of soil heat flux.
","language":"English","publisher":"American Society of Agricultural and Biological Engineers","doi":"10.13031/2013.36261","issn":"00012351","usgsCitation":"Irmak, A., Singh, R.K., Walter-Shea, E., Verma, S., and Suyker, A., 2011, Comparison and analysis of empirical equations for soil heat flux for different cropping systems and irrigation methods: Transactions of the ASABE, v. 54, no. 1, p. 67-80, https://doi.org/10.13031/2013.36261.","productDescription":"14 p.","startPage":"67","endPage":"80","numberOfPages":"14","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244459,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f83ce4b0c8380cd4cf71","contributors":{"authors":[{"text":"Irmak, A.","contributorId":101473,"corporation":false,"usgs":true,"family":"Irmak","given":"A.","email":"","affiliations":[],"preferred":false,"id":444651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singh, Ramesh K. 0000-0002-8164-3483","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":85424,"corporation":false,"usgs":true,"family":"Singh","given":"Ramesh","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":444650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walter-Shea, Elizabeth","contributorId":84579,"corporation":false,"usgs":true,"family":"Walter-Shea","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":444649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verma, S.B.","contributorId":103890,"corporation":false,"usgs":true,"family":"Verma","given":"S.B.","email":"","affiliations":[],"preferred":false,"id":444652,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suyker, A.E.","contributorId":42051,"corporation":false,"usgs":true,"family":"Suyker","given":"A.E.","affiliations":[],"preferred":false,"id":444648,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034229,"text":"70034229 - 2011 - Evidence for predatory control of the invasive round goby","interactions":[],"lastModifiedDate":"2012-12-27T14:10:03","indexId":"70034229","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for predatory control of the invasive round goby","docAbstract":"We coupled bioenergetics modeling with bottom trawl survey results to evaluate the capacity of piscivorous fish in eastern Lake Erie to exert predatory control of the invading population of round goby Neogobius melanostomus. In the offshore (>20 m deep) waters of eastern Lake Erie, burbot Lota lota is a native top predator, feeding on a suite of prey fishes. The round goby invaded eastern Lake Erie during the late 1990s, and round goby population size increased dramatically during 1999–2004. According to annual bottom trawl survey results, round goby abundance in offshore waters peaked in 2004, but then declined during 2004–2008. Coincidentally, round goby became an important component of burbot diet beginning in 2003. Using bottom trawling and gill netting, we estimated adult burbot abundance and age structure in eastern Lake Erie during 2007. Diet composition and energy density of eastern Lake Erie burbot were also determined during 2007. This information, along with estimates of burbot growth, burbot mortality, burbot water temperature regime, and energy densities of prey fish from the literature, were incorporated into a bioenergetics model application to estimate annual consumption of round goby by the adult burbot population. Results indicated that the adult burbot population in eastern Lake Erie annually consumed 1,361 metric tons of round goby. Based on the results of bottom trawling, we estimated the biomass of yearling and older round goby in offshore waters eastern Lake Erie during 2007–2008 to be 2,232 metric tons. Thus, the adult burbot population was feeding on round goby at an annual rate equal to 61% of the estimated round goby standing stock. We concluded that the burbot population had high potential to exert predatory control on round goby in offshore waters of eastern Lake Erie.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10530-010-9884-7","issn":"13873547","usgsCitation":"Madenjian, C., Stapanian, M., Witzel, L., Einhouse, D., Pothoven, S., and Whitford, H., 2011, Evidence for predatory control of the invasive round goby: Biological Invasions, v. 13, no. 4, p. 987-1002, https://doi.org/10.1007/s10530-010-9884-7.","productDescription":"16 p.","startPage":"987","endPage":"1002","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":216789,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10530-010-9884-7"},{"id":244681,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.4797,41.3971 ], [ -83.4797,43.2635 ], [ -78.8539,43.2635 ], [ -78.8539,41.3971 ], [ -83.4797,41.3971 ] ] ] } } ] }","volume":"13","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-10-26","publicationStatus":"PW","scienceBaseUri":"505a0d4ee4b0c8380cd52f30","contributors":{"authors":[{"text":"Madenjian, C.P.","contributorId":64175,"corporation":false,"usgs":true,"family":"Madenjian","given":"C.P.","affiliations":[],"preferred":false,"id":444783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stapanian, M.A.","contributorId":65437,"corporation":false,"usgs":true,"family":"Stapanian","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":444784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Witzel, L.D.","contributorId":70324,"corporation":false,"usgs":true,"family":"Witzel","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":444786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Einhouse, D.W.","contributorId":27813,"corporation":false,"usgs":true,"family":"Einhouse","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":444781,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pothoven, S.A.","contributorId":52778,"corporation":false,"usgs":true,"family":"Pothoven","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":444782,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitford, H.L.","contributorId":68991,"corporation":false,"usgs":true,"family":"Whitford","given":"H.L.","email":"","affiliations":[],"preferred":false,"id":444785,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034230,"text":"70034230 - 2011 - CO2 plume management in saline reservoir sequestration","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034230","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"CO2 plume management in saline reservoir sequestration","docAbstract":"A significant difference between injecting CO2 into saline aquifers for sequestration and injecting fluids into oil reservoirs or natural gas into aquifer storage reservoirs is the availability and use of other production and injection wells surrounding the primary injection well(s). Of major concern for CO2 sequestration using a single well is the distribution of pressure and CO2 saturation within the injection zone. Pressure is of concern with regards to caprock integrity and potential migration of brine or CO2 outside of the injection zone, while CO2 saturation is of interest for storage rights and displacement efficiency. For oil reservoirs, the presence of additional wells is intended to maximize oil recovery by injecting CO2 into the same hydraulic flow units from which the producing wells are withdrawing fluids. Completing injectors and producers in the same flow unit increases CO2 throughput, maximizes oil displacement efficiency, and controls pressure buildup. Additional injectors may surround the CO2 injection well and oil production wells in order to provide external pressure to these wells to prevent the injected CO2 from migrating from the pattern between two of the producing wells. Natural gas storage practices are similar in that to reduce the amount of \"cushion\" gas and increase the amount of cycled or working gas, edge wells may be used for withdrawal of gas and center wells used for gas injection. This reduces loss of gas to the formation via residual trapping far from the injection well. Moreover, this maximizes the natural gas storage efficiency between the injection and production wells and reduces the areal extent of the natural gas plume. Proposed U.S. EPA regulations include monitoring pressure and suggest the \"plume\" may be defined by pressure in addition to the CO2 saturated area. For pressure monitoring, it seems that this can only be accomplished by injection zone monitoring wells. For pressure, these wells would not need to be very close to the injection well, compared to monitoring wells intended to measure CO2 saturation via fluid sampling or cased-hole well logs. If pressure monitoring wells become mandated, these wells could be used for managing the CO2 saturation and aquifer pressure distribution. To understand the relevance and effectiveness of producing and injecting brine to improve storage efficiency, direct the plume to specific pore space, and redistribute the pressure, numerical models of CO2 injection into aquifers are used. Simulated cases include various aquifer properties at a single well site and varying the number and location of surrounding wells for plume management. Strategies in terms of completion intervals can be developed to effectively contact more vertical pore space in relatively thicker geologic formations. Inter-site plume management (or cooperative) wells for the purpose of pressure monitoring and plume management may become the responsibility of a consortium of operators or a government entity, not individual sequestration site operators. ?? 2011 Published by Elsevier Ltd.","largerWorkTitle":"Energy Procedia","conferenceTitle":"10th International Conference on Greenhouse Gas Control Technologies","conferenceDate":"19 September 2010 through 23 September 2010","conferenceLocation":"Amsterdam","language":"English","doi":"10.1016/j.egypro.2011.02.372","issn":"18766102","usgsCitation":"Frailey, S., and Finley, R., 2011, CO2 plume management in saline reservoir sequestration, in Energy Procedia, v. 4, Amsterdam, 19 September 2010 through 23 September 2010, p. 4238-4245, https://doi.org/10.1016/j.egypro.2011.02.372.","startPage":"4238","endPage":"4245","numberOfPages":"8","costCenters":[],"links":[{"id":475346,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2011.02.372","text":"Publisher Index Page"},{"id":216820,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.egypro.2011.02.372"},{"id":244714,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f2d4e4b0c8380cd4b3ee","contributors":{"authors":[{"text":"Frailey, S.M.","contributorId":93263,"corporation":false,"usgs":true,"family":"Frailey","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":444788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finley, R.J.","contributorId":70984,"corporation":false,"usgs":true,"family":"Finley","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":444787,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034235,"text":"70034235 - 2011 - Habitat use of nesting and brood-rearing King Rails in the Illinois and Upper Mississippi River Valleys","interactions":[],"lastModifiedDate":"2015-07-22T10:07:43","indexId":"70034235","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Habitat use of nesting and brood-rearing King Rails in the Illinois and Upper Mississippi River Valleys","docAbstract":"Most studies of King Rail (Rallus elegans) have investigated habitat use during the nesting season, while few comparisons have been made between the nesting and brood-rearing seasons. King Rails were located during the nesting season in Missouri using repeated surveys with call playback, and systematic searches for broods were conducted during the brood-rearing season. King Rail adults were located at twelve points in 2006 and 14 points in 2007, and five King Rail broods were located in each year. Water depth was measured and dominant cover type determined for randomly sampled 5-m plots within used and unused habitats. Logistic regression models were fitted to the data and top models were selected from the candidate set using AICc. Nesting adults occurred more often in areas dominated by short (≤1 m) emergent vegetation (![\"\"](\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/cowa/2011/063.034.0200/063.034.0204/production/images/medium/fi01_160.gif\")
= 0.77 ± 0.27) and deeper water ( = 0.05 ± 0.02). Broods occurred more often in areas dominated by short emergent vegetation ( = 1.19 ± 0.37) and shallow water ( = -0.17 ± 0.06), and avoided areas dominated by tall (>1 m) emergent vegetation ( =-1.15 ± 0.45). A modified catch-curve analysis was used to estimate chick daily survival rates during selected 7-day periods for each year. Daily survival rate ranged from 0.92 ± 0.008 in late June 2007 to 0.96 ± 0.005 in late July 2006. Management plans for King Rails should include the different habitat types needed during the nesting and brood-rearing stages.
","largerWorkTitle":"Waterbirds","language":"English","doi":"10.1675/063.034.0204","issn":"15244695","usgsCitation":"Darrah, A., and Krementz, D., 2011, Habitat use of nesting and brood-rearing King Rails in the Illinois and Upper Mississippi River Valleys: Waterbirds, v. 34, no. 2, p. 160-167, https://doi.org/10.1675/063.034.0204.","startPage":"160","endPage":"167","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":244778,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216880,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.034.0204"}],"volume":"34","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2f47e4b0c8380cd5cc46","contributors":{"authors":[{"text":"Darrah, A.J.","contributorId":57691,"corporation":false,"usgs":true,"family":"Darrah","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":444800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krementz, D.G.","contributorId":74332,"corporation":false,"usgs":true,"family":"Krementz","given":"D.G.","affiliations":[],"preferred":false,"id":444801,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034238,"text":"70034238 - 2011 - Classifying the hydrologic function of prairie potholes with remote sensing and GIS","interactions":[],"lastModifiedDate":"2017-04-06T13:33:15","indexId":"70034238","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Classifying the hydrologic function of prairie potholes with remote sensing and GIS","docAbstract":"A sequence of Landsat TM/ETM+ scenes capturing the substantial surface water variations exhibited by prairie pothole wetlands over a drought to deluge period were analyzed in an attempt to determine the general hydrologic function of individual wetlands (recharge, flow-through, and discharge). Multipixel objects (water bodies) were clustered according to their temporal changes in water extents. We found that wetlands receiving groundwater discharge responded differently over the time period than wetlands that did not. Also, wetlands located within topographically closed discharge basins could be distinguished from discharge basins with overland outlets. Field verification data showed that discharge wetlands with closed basins were most distinct and identifiable with reasonable accuracies (user’s accuracy = 97%, producer’s accuracy = 71%). The classification of other hydrologic function types had lower accuracies reducing the overall accuracy for the four hydrologic function classes to 51%. A simplified classification approach identifying only two hydrologic function classes was 82%. Although this technique has limited success for detecting small wetlands, Landsat-derived multipixel-object clustering can reliably differentiate wetlands receiving groundwater discharge and provides a new approach to quantify wetland dynamics in landscape scale investigations and models.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-011-0146-y","issn":"02775212","usgsCitation":"Rover, J.R., Wright, C., Euliss, N.H., Mushet, D.M., and Wylie, B.K., 2011, Classifying the hydrologic function of prairie potholes with remote sensing and GIS: Wetlands, v. 31, no. 2, p. 319-327, https://doi.org/10.1007/s13157-011-0146-y.","productDescription":"9 p.","startPage":"319","endPage":"327","numberOfPages":"9","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":216944,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-011-0146-y"},{"id":244846,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-22","publicationStatus":"PW","scienceBaseUri":"5059f632e4b0c8380cd4c5f3","contributors":{"authors":[{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":444842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, C.K.","contributorId":25780,"corporation":false,"usgs":true,"family":"Wright","given":"C.K.","affiliations":[],"preferred":false,"id":444841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euliss, Ned H. Jr. ceuliss@usgs.gov","contributorId":2916,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","suffix":"Jr.","email":"ceuliss@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":444843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":444844,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":444840,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034241,"text":"70034241 - 2011 - Widespread inclination shallowing in Permian and Triassic paleomagnetic data from Laurentia: Support from new paleomagnetic data from Middle Permian shallow intrusions in southern Illinois (USA) and virtual geomagnetic pole distributions","interactions":[],"lastModifiedDate":"2012-03-12T17:21:51","indexId":"70034241","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Widespread inclination shallowing in Permian and Triassic paleomagnetic data from Laurentia: Support from new paleomagnetic data from Middle Permian shallow intrusions in southern Illinois (USA) and virtual geomagnetic pole distributions","docAbstract":"Recent paleomagnetic work has highlighted a common and shallow inclination bias in continental redbeds. The Permian and Triassic paleomagnetic records from Laurentia are almost entirely derived from such sedimentary rocks, so a pervasive inclination error will expectedly bias the apparent polar wander path of Laurentia in a significant way. The long-standing discrepancy between the apparent polar wander paths of Laurentia and Gondwana in Permian and Triassic time may be a consequence of such a widespread data-pathology. Here we present new Middle Permian paleomagnetic data from igneous rocks and a contact metamorphosed limestone from cratonic Laurentia. The exclusively reversed Middle Permian magnetization is hosted by low-Ti titanomagnetite and pyrrhotite and yields a paleomagnetic pole at 56.3??S, 302.9??E (A95=3.8, N=6). This pole, which is unaffected by inclination shallowing, suggests that a shallow inclination bias may indeed be present in the Laurentian records. To further consider this hypothesis, we conduct a virtual geomagnetic pole distribution analysis, comparing theoretical expectations of a statistical field model (TK03.GAD) against published data-sets. This exercise provides independent evidence that the Laurentian paleomagnetic data is widely biased, likely because of sedimentary inclination shallowing. We estimate the magnitude of this error from our model results and present and discuss several alternative corrections. ?? 2011 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Tectonophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.tecto.2011.08.016","issn":"00401951","usgsCitation":"Domeier, M., Van Der Voo, R., and Denny, F., 2011, Widespread inclination shallowing in Permian and Triassic paleomagnetic data from Laurentia: Support from new paleomagnetic data from Middle Permian shallow intrusions in southern Illinois (USA) and virtual geomagnetic pole distributions: Tectonophysics, v. 511, no. 1-2, p. 38-52, https://doi.org/10.1016/j.tecto.2011.08.016.","startPage":"38","endPage":"52","numberOfPages":"15","costCenters":[],"links":[{"id":216520,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.tecto.2011.08.016"},{"id":244397,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"511","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd0b2e4b08c986b32efe3","contributors":{"authors":[{"text":"Domeier, M.","contributorId":78170,"corporation":false,"usgs":true,"family":"Domeier","given":"M.","email":"","affiliations":[],"preferred":false,"id":444855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Der Voo, R.","contributorId":61959,"corporation":false,"usgs":true,"family":"Van Der Voo","given":"R.","email":"","affiliations":[],"preferred":false,"id":444854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denny, F.B.","contributorId":53546,"corporation":false,"usgs":true,"family":"Denny","given":"F.B.","email":"","affiliations":[],"preferred":false,"id":444853,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034249,"text":"70034249 - 2011 - Early Mesozoic paleogeography and tectonic evolution of the western United States: Insights from detrital zircon U-Pb geochronology, Blue Mountains Province, northeastern Oregon","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034249","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Early Mesozoic paleogeography and tectonic evolution of the western United States: Insights from detrital zircon U-Pb geochronology, Blue Mountains Province, northeastern Oregon","docAbstract":"This study assesses early Mesozoic provenance linkages and paleogeographic-tectonic models for the western United States based on new petrographic and detrital zircon data from Triassic and Jurassic sandstones of the \"Izee\" and Olds Ferry terranes of the Blue Mountains Province, northeastern Oregon. Triassic sediments were likely derived from the Baker terrane offshore accretionary subduction complex and are dominated by Late Archean (ca. 2.7-2.5 Ga), Late Paleoproterozoic (ca. 2.2-1.6 Ga), and Paleozoic (ca. 380-255 Ma) detrital zircon grains. These detrital ages suggest that portions of the Baker terrane have a genetic affinity with other Cordilleran accretionary subduction complexes of the western United States, including those in the Northern Sierra and Eastern Klamath terranes. The abundance of Precambrian grains in detritus derived from an offshore complex highlights the importance of sediment reworking. Jurassic sediments are dominated by Mesozoic detrital ages (ca. 230-160 Ma), contain significant amounts of Paleozoic (ca. 290, 380-350, 480-415 Ma), Neoproterozoic (ca. 675-575 Ma), and Mesoproterozoic grains (ca. 1.4-1.0 Ga), and have lesser quantities of Late Paleoproterozoic grains (ca. 2.1-1.7 Ga). Detrital zircon ages in Jurassic sediments closely resemble well-documented age distributions in transcontinental sands of Ouachita-Appalachian provenance that were transported across the southwestern United States and modified by input from cratonal, miogeoclinal, and Cordilleran-arc sources during Triassic and Jurassic time. Jurassic sediments likely were derived from the Cordilleran arc and an orogenic highland in Nevada that yielded recycled sand from uplifted Triassic backarc basin deposits. Our data suggest that numerous Jurassic Cordilleran basins formed close to the Cordilleran margin and support a model for moderate post-Jurassic translation (~400 km) of the Blue Mountains Province. ?? 2011 Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society of America Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/B30260.1","issn":"00167606","usgsCitation":"LaMaskin, T.A., Vervoort, J., Dorsey, R., and Wright, J., 2011, Early Mesozoic paleogeography and tectonic evolution of the western United States: Insights from detrital zircon U-Pb geochronology, Blue Mountains Province, northeastern Oregon: Geological Society of America Bulletin, v. 123, no. 9-10, p. 1939-1965, https://doi.org/10.1130/B30260.1.","startPage":"1939","endPage":"1965","numberOfPages":"27","costCenters":[],"links":[{"id":216638,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B30260.1"},{"id":244520,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2011-04-12","publicationStatus":"PW","scienceBaseUri":"505a0478e4b0c8380cd509e1","contributors":{"authors":[{"text":"LaMaskin, Todd A.","contributorId":105558,"corporation":false,"usgs":true,"family":"LaMaskin","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":444897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vervoort, J.D.","contributorId":98126,"corporation":false,"usgs":true,"family":"Vervoort","given":"J.D.","affiliations":[],"preferred":false,"id":444896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorsey, R.J.","contributorId":45115,"corporation":false,"usgs":true,"family":"Dorsey","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":444894,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, J.E.","contributorId":52575,"corporation":false,"usgs":true,"family":"Wright","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":444895,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034251,"text":"70034251 - 2011 - Factors driving spatial and temporal variation in production and production/biomass ratio of stream-resident brown trout (Salmo trutta) in Cantabrian streams","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034251","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Factors driving spatial and temporal variation in production and production/biomass ratio of stream-resident brown trout (Salmo trutta) in Cantabrian streams","docAbstract":"1.The objective was to identify the factors driving spatial and temporal variation in annual production (PA) and turnover (production/biomass) ratio (P/BA) of resident brown trout Salmo trutta in tributaries of the Rio Esva (Cantabrian Mountains, Asturias, north-western Spain). We examined annual production (total production of all age-classes over a year) (PA) and turnover (P/BA) ratios, in relation to year-class production (production over the entire life time of a year-class) (PT) and turnover (P/BT) ratio, over 14years at a total of 12 sites along the length of four contrasting tributaries. In addition, we explored whether the importance of recruitment and site depth for spatial and temporal variations in year-class production (PT), elucidated in previous studies, extends to annual production. 2.Large spatial (among sites) and temporal (among years) variation in annual production (range 1.9-40.3gm-2 per year) and P/BA ratio (range 0.76-2.4per year) typified these populations, values reported here including all the variation reported globally for salmonids streams inhabited by one or several species. 3.Despite substantial differences among streams and sites in all production attributes, when all data were pooled, annual (PA) and year-class production (PT) and annual (P/BA) and year-class P/BT ratios were tightly linked. Annual (PA) and year-class production (PT) were similar but not identical, i.e. PT=0.94 PA, whereas the P/BT ratios were 4+P/BA ratios. 4.Recruitment (Rc) and mean annual density (NA) were major density-dependent drivers of production and their relationships were described by simple mathematical models. While year-class production (PT) was determined (R2=70.1%) by recruitment (Rc), annual production (PA) was determined (R2=60.3%) by mean annual density (NA). In turn, variation in recruitment explained R2=55.2% of variation in year-class P/BT ratios, the latter attaining an asymptote at P/BT=6 at progressively higher levels of recruitment. Similarly, variations in mean annual density (NA) explained R2=52.1% of variation in annual P/BA, the latter reaching an asymptote at P/BA=2.1. This explained why P/BT is equal to P/BA plus the number of year-classes at high but not at low densities. 5.Site depth was a major determinant of spatial (among sites) variation in production attributes. All these attributes described two-phase trajectories with site depth, reaching a maximum at sites of intermediate depth and declining at shallower and deeper sites. As a consequence, at sites where recruitment and mean annual density reached minimum or maximum values, annual (PA) and year-class production (PT) and annual (P/BA) and year-class P/BT ratios also reached minimum and maximum values. ?? 2011 Blackwell Publishing Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2427.2011.02654.x","issn":"00465070","usgsCitation":"Lobon-Cervia, J., Gonzalez, G., and Budy, P., 2011, Factors driving spatial and temporal variation in production and production/biomass ratio of stream-resident brown trout (Salmo trutta) in Cantabrian streams: Freshwater Biology, v. 56, no. 11, p. 2272-2287, https://doi.org/10.1111/j.1365-2427.2011.02654.x.","startPage":"2272","endPage":"2287","numberOfPages":"16","costCenters":[],"links":[{"id":216667,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2427.2011.02654.x"},{"id":244552,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"11","noUsgsAuthors":false,"publicationDate":"2011-08-03","publicationStatus":"PW","scienceBaseUri":"505a0ec1e4b0c8380cd535ed","contributors":{"authors":[{"text":"Lobon-Cervia, J.","contributorId":18185,"corporation":false,"usgs":true,"family":"Lobon-Cervia","given":"J.","affiliations":[],"preferred":false,"id":444905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzalez, G.","contributorId":47174,"corporation":false,"usgs":true,"family":"Gonzalez","given":"G.","email":"","affiliations":[],"preferred":false,"id":444906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budy, P.","contributorId":68091,"corporation":false,"usgs":true,"family":"Budy","given":"P.","affiliations":[],"preferred":false,"id":444907,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034254,"text":"70034254 - 2011 - Factors affecting stream nutrient loads: A synthesis of regional SPARROW model results for the continental United States","interactions":[],"lastModifiedDate":"2018-12-18T13:39:52","indexId":"70034254","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting stream nutrient loads: A synthesis of regional SPARROW model results for the continental United States","docAbstract":"We compared the results of 12 recently calibrated regional SPARROW (SPAtially Referenced Regressions On Watershed attributes) models covering most of the continental United States to evaluate the consistency and regional differences in factors affecting stream nutrient loads. The models – 6 for total nitrogen and 6 for total phosphorus – all provide similar levels of prediction accuracy, but those for major river basins in the eastern half of the country were somewhat more accurate. The models simulate long‐term mean annual stream nutrient loads as a function of a wide range of known sources and climatic (precipitation, temperature), landscape (e.g., soils, geology), and aquatic factors affecting nutrient fate and transport. The results confirm the dominant effects of urban and agricultural sources on stream nutrient loads nationally and regionally, but reveal considerable spatial variability in the specific types of sources that control water quality. These include regional differences in the relative importance of different types of urban (municipal and industrial point vs. diffuse urban runoff) and agriculture (crop cultivation vs. animal waste) sources, as well as the effects of atmospheric deposition, mining, and background (e.g., soil phosphorus) sources on stream nutrients. Overall, we found that the SPARROW model results provide a consistent set of information for identifying the major sources and environmental factors affecting nutrient fate and transport in United States watersheds at regional and subregional scales.
","language":"English","publisher":"American Water Resources Association","doi":"10.1111/j.1752-1688.2011.00577.x","issn":"1093474X","usgsCitation":"Preston, S.D., Alexander, R.B., Schwarz, G., and Crawford, C.G., 2011, Factors affecting stream nutrient loads: A synthesis of regional SPARROW model results for the continental United States: Journal of the American Water Resources Association, v. 47, no. 5, p. 891-915, https://doi.org/10.1111/j.1752-1688.2011.00577.x.","productDescription":"25 p.","startPage":"891","endPage":"915","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017231","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":475304,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00577.x","text":"Publisher Index Page"},{"id":244585,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216699,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00577.x"}],"volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505a0e95e4b0c8380cd5351d","contributors":{"authors":[{"text":"Preston, Stephen D. 0000-0003-1515-6692 spreston@usgs.gov","orcid":"https://orcid.org/0000-0003-1515-6692","contributorId":1463,"corporation":false,"usgs":true,"family":"Preston","given":"Stephen","email":"spreston@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":444919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, Richard B. 0000-0001-9166-0626 ralex@usgs.gov","orcid":"https://orcid.org/0000-0001-9166-0626","contributorId":541,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","email":"ralex@usgs.gov","middleInitial":"B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":444920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":444918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crawford, Charles G. 0000-0003-1653-7841 cgcrawfo@usgs.gov","orcid":"https://orcid.org/0000-0003-1653-7841","contributorId":1064,"corporation":false,"usgs":true,"family":"Crawford","given":"Charles","email":"cgcrawfo@usgs.gov","middleInitial":"G.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":444917,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034255,"text":"70034255 - 2011 - Remote sensing of soil moisture using airborne hyperspectral data","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034255","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing of soil moisture using airborne hyperspectral data","docAbstract":"Landscape assessment of soil moisture is critical to understanding the hydrological cycle at the regional scale and in broad-scale studies of biophysical processes affected by global climate changes in temperature and precipitation. Traditional efforts to measure soil moisture have been principally restricted to in situ measurements, so remote sensing techniques are often employed. Hyperspectral sensors with finer spatial resolution and narrow band widths may offer an alternative to traditional multispectral analysis of soil moisture, particularly in landscapes with high spatial heterogeneity. This preliminary research evaluates the ability of remotely sensed hyperspectral data to quantify soil moisture for the Little River Experimental Watershed (LREW), Georgia. An airborne hyperspectral instrument with a short-wavelength infrared (SWIR) sensor was flown in 2005 and 2007 and the results were correlated to in situ soil moisture values. A significant statistical correlation (R2 value above 0.7 for both sampling dates) for the hyperspectral instrument data and the soil moisture probe data at 5.08 cm (2 inches) was determined. While models for the 20.32 cm (8 inches) and 30.48 cm (12 inches) depths were tested, they were not able to estimate soil moisture to the same degree.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GIScience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2747/1548-1603.48.4.522","issn":"15481603","usgsCitation":"Finn, M., Lewis, M., Bosch, D., Giraldo, M., Yamamoto, K., Sullivan, D., Kincaid, R., Luna, R., Allam, G., Kvien, C., and Williams, M., 2011, Remote sensing of soil moisture using airborne hyperspectral data: GIScience and Remote Sensing, v. 48, no. 4, p. 522-540, https://doi.org/10.2747/1548-1603.48.4.522.","startPage":"522","endPage":"540","numberOfPages":"19","costCenters":[],"links":[{"id":216731,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2747/1548-1603.48.4.522"},{"id":244617,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"505aa706e4b0c8380cd851a4","contributors":{"authors":[{"text":"Finn, M.","contributorId":45539,"corporation":false,"usgs":true,"family":"Finn","given":"M.","email":"","affiliations":[],"preferred":false,"id":444926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, M.","contributorId":37395,"corporation":false,"usgs":true,"family":"Lewis","given":"M.","email":"","affiliations":[],"preferred":false,"id":444924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bosch, D.","contributorId":83241,"corporation":false,"usgs":true,"family":"Bosch","given":"D.","email":"","affiliations":[],"preferred":false,"id":444929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giraldo, Mario","contributorId":66094,"corporation":false,"usgs":true,"family":"Giraldo","given":"Mario","email":"","affiliations":[],"preferred":false,"id":444928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yamamoto, K.","contributorId":103119,"corporation":false,"usgs":true,"family":"Yamamoto","given":"K.","email":"","affiliations":[],"preferred":false,"id":444931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, D.","contributorId":37569,"corporation":false,"usgs":true,"family":"Sullivan","given":"D.","affiliations":[],"preferred":false,"id":444925,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kincaid, R.","contributorId":30847,"corporation":false,"usgs":true,"family":"Kincaid","given":"R.","email":"","affiliations":[],"preferred":false,"id":444922,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Luna, R.","contributorId":46708,"corporation":false,"usgs":true,"family":"Luna","given":"R.","email":"","affiliations":[],"preferred":false,"id":444927,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Allam, G.","contributorId":27712,"corporation":false,"usgs":true,"family":"Allam","given":"G.","email":"","affiliations":[],"preferred":false,"id":444921,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kvien, Craig","contributorId":33434,"corporation":false,"usgs":true,"family":"Kvien","given":"Craig","email":"","affiliations":[],"preferred":false,"id":444923,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Williams, Murray","contributorId":100499,"corporation":false,"usgs":true,"family":"Williams","given":"Murray","email":"","affiliations":[],"preferred":false,"id":444930,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70034270,"text":"70034270 - 2011 - A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034270","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions","docAbstract":"The U.S. Geological Survey National Water Quality Assessment Program has completed a number of water-quality prediction models for nitrogen and phosphorus for the conterminous United States as well as for regional areas of the nation. In addition to estimating water-quality conditions at unmonitored streams, the calibrated SPAtially Referenced Regressions On Watershed attributes (SPARROW) models can be used to produce estimates of yield, flow-weighted concentration, or load of constituents in water under various land-use condition, change, or resource management scenarios. A web-based decision support infrastructure has been developed to provide access to SPARROW simulation results on stream water-quality conditions and to offer sophisticated scenario testing capabilities for research and water-quality planning via a graphical user interface with familiar controls. The SPARROW decision support system (DSS) is delivered through a web browser over an Internet connection, making it widely accessible to the public in a format that allows users to easily display water-quality conditions and to describe, test, and share modeled scenarios of future conditions. SPARROW models currently supported by the DSS are based on the modified digital versions of the 1:500,000-scale River Reach File (RF1) and 1:100,000-scale National Hydrography Dataset (medium-resolution, NHDPlus) stream networks. ?? 2011 American Water Resources Association. This article is a U.S. Government work and is in the public domain in the USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1752-1688.2011.00573.x","issn":"1093474X","usgsCitation":"Booth, N., Everman, E., Kuo, I., Sprague, L., and Murphy, L., 2011, A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions: Journal of the American Water Resources Association, v. 47, no. 5, p. 1136-1150, https://doi.org/10.1111/j.1752-1688.2011.00573.x.","startPage":"1136","endPage":"1150","numberOfPages":"15","costCenters":[],"links":[{"id":475399,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00573.x","text":"Publisher Index Page"},{"id":216946,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00573.x"},{"id":244848,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-08","publicationStatus":"PW","scienceBaseUri":"5059e315e4b0c8380cd45df4","contributors":{"authors":[{"text":"Booth, N.L.","contributorId":60815,"corporation":false,"usgs":true,"family":"Booth","given":"N.L.","email":"","affiliations":[],"preferred":false,"id":445015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Everman, E.J.","contributorId":88583,"corporation":false,"usgs":true,"family":"Everman","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":445017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuo, I.-L.","contributorId":71421,"corporation":false,"usgs":true,"family":"Kuo","given":"I.-L.","email":"","affiliations":[],"preferred":false,"id":445016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sprague, L.","contributorId":12295,"corporation":false,"usgs":true,"family":"Sprague","given":"L.","affiliations":[],"preferred":false,"id":445013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murphy, L.","contributorId":60049,"corporation":false,"usgs":true,"family":"Murphy","given":"L.","email":"","affiliations":[],"preferred":false,"id":445014,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034271,"text":"70034271 - 2011 - Peat Formation Processes Through the Millennia in Tidal Marshes of the Sacramento-San Joaquin Delta, California, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034271","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Peat Formation Processes Through the Millennia in Tidal Marshes of the Sacramento-San Joaquin Delta, California, USA","docAbstract":"The purpose of this study was to determine peat formation processes throughout the millennia in four tidal marshes in the Sacramento-San Joaquin Delta. Peat cores collected at each site were analyzed for bulk density, loss on ignition, and percent organic carbon. Core data and spline fit age-depth models were used to estimate inorganic sedimentation, organic accumulation, and carbon sequestration rates in the marshes. Bulk density and percent organic matter content of peat fluctuated through time at all sites, suggesting that peat formation processes are dynamic and responsive to watershed conditions. The balance between inorganic sedimentation and organic accumulation at the sites also varied through time, indicating that marshes may rely more strongly on either inorganic or organic matter for peat formation at particular times in their existence. Mean carbon sequestration rates found in this study (0. 38-0. 79 Mg C ha-1 year-1) were similar to other long-term estimates for temperate peatlands. ?? 2011 Coastal and Estuarine Research Federation (outside the USA).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s12237-011-9393-7","issn":"15592723","usgsCitation":"Drexler, J., 2011, Peat Formation Processes Through the Millennia in Tidal Marshes of the Sacramento-San Joaquin Delta, California, USA: Estuaries and Coasts, v. 34, no. 5, p. 900-911, https://doi.org/10.1007/s12237-011-9393-7.","startPage":"900","endPage":"911","numberOfPages":"12","costCenters":[],"links":[{"id":244877,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216972,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-011-9393-7"}],"volume":"34","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-03-24","publicationStatus":"PW","scienceBaseUri":"505a761ae4b0c8380cd77f0c","contributors":{"authors":[{"text":"Drexler, J.Z. 0000-0002-0127-3866","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":54766,"corporation":false,"usgs":true,"family":"Drexler","given":"J.Z.","affiliations":[],"preferred":false,"id":445018,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034280,"text":"70034280 - 2011 - Estimating Hydraulic Parameters When Poroelastic Effects Are Significant","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034280","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Estimating Hydraulic Parameters When Poroelastic Effects Are Significant","docAbstract":"For almost 80 years, deformation-induced head changes caused by poroelastic effects have been observed during pumping tests in multilayered aquifer-aquitard systems. As water in the aquifer is released from compressive storage during pumping, the aquifer is deformed both in the horizontal and vertical directions. This deformation in the pumped aquifer causes deformation in the adjacent layers, resulting in changes in pore pressure that may produce drawdown curves that differ significantly from those predicted by traditional groundwater theory. Although these deformation-induced head changes have been analyzed in several studies by poroelasticity theory, there are at present no practical guidelines for the interpretation of pumping test data influenced by these effects. To investigate the impact that poroelastic effects during pumping tests have on the estimation of hydraulic parameters, we generate synthetic data for three different aquifer-aquitard settings using a poroelasticity model, and then analyze the synthetic data using type curves and parameter estimation techniques, both of which are based on traditional groundwater theory and do not account for poroelastic effects. Results show that even when poroelastic effects result in significant deformation-induced head changes, it is possible to obtain reasonable estimates of hydraulic parameters using methods based on traditional groundwater theory, as long as pumping is sufficiently long so that deformation-induced effects have largely dissipated. ?? 2011 The Author(s). Journal compilation ?? 2011 National Ground Water Association.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1745-6584.2010.00781.x","issn":"0017467X","usgsCitation":"Berg, S., Hsieh, P.A., and Illman, W., 2011, Estimating Hydraulic Parameters When Poroelastic Effects Are Significant: Ground Water, v. 49, no. 6, p. 815-829, https://doi.org/10.1111/j.1745-6584.2010.00781.x.","startPage":"815","endPage":"829","numberOfPages":"15","costCenters":[],"links":[{"id":216612,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2010.00781.x"},{"id":244493,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-01-04","publicationStatus":"PW","scienceBaseUri":"505a0affe4b0c8380cd524fb","contributors":{"authors":[{"text":"Berg, S.J.","contributorId":61671,"corporation":false,"usgs":true,"family":"Berg","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":445057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hsieh, P. A.","contributorId":40596,"corporation":false,"usgs":true,"family":"Hsieh","given":"P.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Illman, W.A.","contributorId":53195,"corporation":false,"usgs":true,"family":"Illman","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":445056,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034296,"text":"70034296 - 2011 - Modeling the height of young forests regenerating from recent disturbances in Mississippi using Landsat and ICESat data","interactions":[],"lastModifiedDate":"2018-02-23T12:48:07","indexId":"70034296","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the height of young forests regenerating from recent disturbances in Mississippi using Landsat and ICESat data","docAbstract":"Many forestry and earth science applications require spatially detailed forest height data sets. Among the various remote sensing technologies, lidar offers the most potential for obtaining reliable height measurement. However, existing and planned spaceborne lidar systems do not have the capability to produce spatially contiguous, fine resolution forest height maps over large areas. This paper describes a Landsat–lidar fusion approach for modeling the height of young forests by integrating historical Landsat observations with lidar data acquired by the Geoscience Laser Altimeter System (GLAS) instrument onboard the Ice, Cloud, and land Elevation (ICESat) satellite. In this approach, “young” forests refer to forests reestablished following recent disturbances mapped using Landsat time-series stacks (LTSS) and a vegetation change tracker (VCT) algorithm. The GLAS lidar data is used to retrieve forest height at sample locations represented by the footprints of the lidar data. These samples are used to establish relationships between lidar-based forest height measurements and LTSS–VCT disturbance products. The height of “young” forest is then mapped based on the derived relationships and the LTSS–VCT disturbance products. This approach was developed and tested over the state of Mississippi. Of the various models evaluated, a regression tree model predicting forest height from age since disturbance and three cumulative indices produced by the LTSS–VCT method yielded the lowest cross validation error. The R2 and root mean square difference (RMSD) between predicted and GLAS-based height measurements were 0.91 and 1.97 m, respectively. Predictions of this model had much higher errors than indicated by cross validation analysis when evaluated using field plot data collected through the Forest Inventory and Analysis Program of USDA Forest Service. Much of these errors were due to a lack of separation between stand clearing and non-stand clearing disturbances in current LTSS–VCT products and difficulty in deriving reliable forest height measurements using GLAS samples when terrain relief was present within their footprints. In addition, a systematic underestimation of about 5 m by the developed model was also observed, half of which could be explained by forest growth that occurred between field measurement year and model target year. The remaining difference suggests that tree height measurements derived using waveform lidar data could be significantly underestimated, especially for young pine forests. Options for improving the height modeling approach developed in this study were discussed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2011.03.001","issn":"00344257","usgsCitation":"Li, A., Huang, C., Sun, G., Shi, H., Toney, C., Zhu, Z., Rollins, M.G., Goward, S.N., and Masek, J.G., 2011, Modeling the height of young forests regenerating from recent disturbances in Mississippi using Landsat and ICESat data: Remote Sensing of Environment, v. 115, no. 8, p. 1837-1849, https://doi.org/10.1016/j.rse.2011.03.001.","productDescription":"13 p.","startPage":"1837","endPage":"1849","numberOfPages":"13","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244747,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216851,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2011.03.001"}],"volume":"115","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c46e4b0c8380cd6fb68","contributors":{"authors":[{"text":"Li, Ainong","contributorId":202742,"corporation":false,"usgs":false,"family":"Li","given":"Ainong","email":"","affiliations":[],"preferred":false,"id":445131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, Chengquan 0000-0003-0055-9798","orcid":"https://orcid.org/0000-0003-0055-9798","contributorId":198972,"corporation":false,"usgs":false,"family":"Huang","given":"Chengquan","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":445129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sun, Guoqing","contributorId":202743,"corporation":false,"usgs":false,"family":"Sun","given":"Guoqing","email":"","affiliations":[],"preferred":false,"id":445125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shi, Hua 0000-0001-7013-1565 hshi@usgs.gov","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":646,"corporation":false,"usgs":true,"family":"Shi","given":"Hua","email":"hshi@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":445130,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toney, Chris","contributorId":86598,"corporation":false,"usgs":true,"family":"Toney","given":"Chris","email":"","affiliations":[],"preferred":false,"id":445128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":445126,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rollins, Matthew G.","contributorId":54695,"corporation":false,"usgs":true,"family":"Rollins","given":"Matthew","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":445127,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goward, Samuel N.","contributorId":44459,"corporation":false,"usgs":true,"family":"Goward","given":"Samuel","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":445132,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Masek, Jeffery G.","contributorId":87438,"corporation":false,"usgs":true,"family":"Masek","given":"Jeffery","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":445133,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70034298,"text":"70034298 - 2011 - Modules based on the geochemical model PHREEQC for use in scripting and programming languages","interactions":[],"lastModifiedDate":"2021-04-22T21:01:44.751501","indexId":"70034298","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Modules based on the geochemical model PHREEQC for use in scripting and programming languages","docAbstract":"The geochemical model PHREEQC is capable of simulating a wide range of equilibrium reactions between water and minerals, ion exchangers, surface complexes, solid solutions, and gases. It also has a general kinetic formulation that allows modeling of nonequilibrium mineral dissolution and precipitation, microbial reactions, decomposition of organic compounds, and other kinetic reactions. To facilitate use of these reaction capabilities in scripting languages and other models, PHREEQC has been implemented in modules that easily interface with other software. A Microsoft COM (component object model) has been implemented, which allows PHREEQC to be used by any software that can interface with a COM server—for example, Excel®, Visual Basic®, Python, or MATLAB®. PHREEQC has been converted to a C++ class, which can be included in programs written in C++. The class also has been compiled in libraries for Linux and Windows that allow PHREEQC to be called from C++, C, and Fortran. A limited set of methods implements the full reaction capabilities of PHREEQC for each module. Input methods use strings or files to define reaction calculations in exactly the same formats used by PHREEQC. Output methods provide a table of user-selected model results, such as concentrations, activities, saturation indices, and densities. The PHREEQC module can add geochemical reaction capabilities to surface-water, groundwater, and watershed transport models. It is possible to store and manipulate solution compositions and reaction information for many cells within the module. In addition, the object-oriented nature of the PHREEQC modules simplifies implementation of parallel processing for reactive-transport models. The PHREEQC COM module may be used in scripting languages to fit parameters; to plot PHREEQC results for field, laboratory, or theoretical investigations; or to develop new models that include simple or complex geochemical calculations.
Estimation of extreme quantal‐response statistics, such as the concentration required to kill 99.9% of test subjects (LC99.9), remains a challenge in the presence of multiple covariates and complex study designs. Accurate and precise estimates of the LC99.9 for mixtures of toxicants are critical to ongoing control of a parasitic invasive species, the sea lamprey, in the Laurentian Great Lakes of North America. The toxicity of those chemicals is affected by local and temporal variations in water chemistry, which must be incorporated into the modeling. We develop multilevel empirical Bayes models for data from multiple laboratory studies. Our approach yields more accurate and precise estimation of the LC99.9 compared to alternative models considered. This study demonstrates that properly incorporating hierarchical structure in laboratory data yields better estimates of LC99.9 stream treatment values that are critical to larvae control in the field. In addition, out‐of‐sample prediction of the results of in situ tests reveals the presence of a latent seasonal effect not manifest in the laboratory studies, suggesting avenues for future study and illustrating the importance of dual consideration of both experimental and observational data.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1541-0420.2011.01566.x","issn":"0006341X","usgsCitation":"Hatfield, L., Gutreuter, S., Boogaard, M., and Carlin, B., 2011, Multilevel empirical bayes modeling for improved estimation of toxicant formulations to suppress parasitic sea lamprey in the upper Great Lakes: Biometrics, v. 67, no. 3, p. 1153-1162, https://doi.org/10.1111/j.1541-0420.2011.01566.x.","productDescription":"10 p.","startPage":"1153","endPage":"1162","costCenters":[],"links":[{"id":475356,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc3111860","text":"External Repository"},{"id":244814,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-03-01","publicationStatus":"PW","scienceBaseUri":"505a6028e4b0c8380cd7131c","contributors":{"authors":[{"text":"Hatfield, L.A.","contributorId":51579,"corporation":false,"usgs":true,"family":"Hatfield","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":445142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gutreuter, S.","contributorId":79829,"corporation":false,"usgs":true,"family":"Gutreuter","given":"S.","email":"","affiliations":[],"preferred":false,"id":445144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boogaard, M.A.","contributorId":92994,"corporation":false,"usgs":true,"family":"Boogaard","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":445145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlin, B.P.","contributorId":74227,"corporation":false,"usgs":true,"family":"Carlin","given":"B.P.","email":"","affiliations":[],"preferred":false,"id":445143,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}